Project Information

• "EARS: Collaborative Research: Cognitive Mesh: Making Cellular Networks More Flexible", National Science Foundation, January 1, 2014-December 31, 2017 (extended to December 2018). This is a collaborative project with Dr. Pan Li at Case Western Reserve University and Miao Pan at University of Houston. University of Florida is the leading institution.
• This webpage and the materials provided here are based upon work supported by the National Science Foundation under Grants CNS-1343356/CNS-1343220/CNS-1343361.

Project Summary

Innovative use of wireless devices such as smartphones in various mobile applications has exacerbated the congestion over cellular spectrum. On the other hand, many licensed spectrum blocks are left unused. Although cognitive radios (CR) technology has emerged as an enabler for unlicensed users to opportunistically access the unused licensed spectrum, most previous works commonly assume that each user is equipped with a CR which can operate across a wide range of spectrum. This may be possible in theory, but may not be practical for light-weight devices such as cell phones. How to effectively utilize the CR technology to build more flexible networks so that even non-CR capable devices can benefit from the opportunistic access to the unused spectrum is therefore in dire need. In this project, the PIs propose a novel cognitive mesh assisted cellular network (CMCN) and investigate: 1) the architectural design of CMCN so that unoccupied licensed spectrum can be efficiently utilized and non-cognitive cellular devices can benefit from the CR technology, 2) spectrum and energy efficient CR mesh router placement under uncertain spectrum availability, 3) how to construct a fine-grained spectrum map to facilitate efficient spectrum allocation and intelligent traffic delivery, and 4) experimental validation and implementation for the proposed design. The research outcome provides a viable solution to the spectrum congestion in cellular systems. Moreover, with this flexible architecture, telecommunication industries can be rejuvenated with new innovations, leading to further development of cellular networks with high capacity and better support of new applications such as mobile healthcare, which has significant impact on individuals' lives and further provides greater opportunities for job creation and economic growth. The results of the project will be disseminated through publications and presentations. Finally, this project will actively recruit and train minority students for the future workforce and mentor junior faculty.

Personnel

Principal Investigators

• Yuguang Fang, University of Florida, Leading PI
• Pan Li, Case Western Reserve University, PI
• Miao Pan, University of Houston, PI

• Sheng Cai, Mississippi State University, Ph.D. Student (PhD'16, now a Senior Function Software Engineer in KSS Automotive Active Safety Systems (Suzhou) Co. Ltd)
• Ananth Challa, Texas Southern University (4 Months), M.S. Student
• Xianhao Chen, University of Florida, Ph.D student
• Xuhui Chen, Case Western Reserve University, Ph.D. Student (formerly with Mississippi State University)
• Haichuan Ding, University of Florida, Ph.D student (PhD'18, now Postdoc, University of Michigan, Ann Arbor)
• Sai Mounika Errapotu, University of Houston, Ph.D. student
• Yanmin Gong, University of Florida, Ph.D student (PhD'16, now Assistant Professor at Oklahoma State University)
• Ming Li, Mississippi State University, Ph.D. Student (PhD'14, now Assistant Professor at University of Neveda at Reno)
• Weixian Liao, Case Western Reserve University, Ph.D. Student (PhD'18, now an assistant professor at Towson University)
• Jianqing Liu, University of Florida, Ph.D student (PhD'18, now an assistant professor at University of Alabama, Huntsville)
• Robert Luo, Case Western Reserve University, Ph.D. Student (formerly with Mississippi State University)
• Yawei Pang, University of Florida, Ph.D. student
• Sergio Salinas, Mississippi State University, Ph.D. Student (PhD'15, now An Assistant Professor at Wichita State University)
• Arun Thapa, Mississippi State University, Ph.D. Student (PhD'14, now Assistant Professor at Tuskegee University)
• Jingyi Wang, University of Houston, PhD student
• Vernaldo Wright, Texas Southern University, M.S. Student (MS'14)
• Qianlong Wang, Case Western Reserve University, Ph.D. Student
• Kaihe Xu, University of Florida, Ph.D student (PhD'15, an Senior Research Staff at Tencent, Shenzhen, China)
• Kaichen Yang, University of Florida, Ph.D student
• Lixing Yu, Case Western Reserve University, Ph.D. Student
• Hao Yue, University of Florida, Ph.D student (PhD'15, now Assistant Professor at San Francisco State University)
• Lan Zhang, University of Florida, Ph.D student

• Jamaal Roby, Texas Southern University, Undergraduate Student

Publications

Books

1. M. Pan, M. Li, P. Li and Y. Fang, Spectrum Trading in Multi-Hop Cognitive Radio Networks, Springer, 2015.

Book Chapters

1. X. Li, H. Ding, Y. Fang, M. Pan, P. Li, X. Huang and S. Glisic, "Collaborative Spectrum Trading and Sharing for Cognitive Radio Networks," in: Handbook of Cognitive Radios, edited by Wei Zhang, Springer, 2018. doi:10.1007/978-981-10-1389-827-2.

Papers in Refereed Journals or Magazines

1. H. Zhang, N. Yang, K. Long, M. Pan, G. Karagiannidis and V. Leung, "Secure communications in NOMA system: subcarrier assignment and power allocation", Accepted for publication in IEEE Journal on Selected Areas in Communications (JSAC).
2. C. Luo, K. Zhang, S. Salinas, and P. Li,"Secfact: Secure large-scale QR and LU factorizations," Accepted for publication in IEEE Transactions on Big Data.
3. W. Liao, C. Luo, S. Salinas, and P. Li, "Efficient secure outsourcing of large-scale convex separable programming for big data," Accepted for publication in IEEE Transactions on Big Data.
4. S. Salinas, C. Luo, X. Chen, W. Liao, and P. Li, "Efficient secure outsourcing of large-scale sparse linear systems of equations," Accepted for publication in IEEE Transactions on Big Data.
5. J. Wang, Y. Long, J. Wang, S. Errapotu, H. Li, M. Pan, and Z. Han, "D-FROST: Distributed Frequency Reuse Based Opportunistic Spectrum Trading via Matching with Evolving Preferences", Accepted for publication in IEEE Transactions on Wireless Communications.
6. J. Wang, L. Zhang, Q. Gao, M. Pan, and H. Wang, "Device-free Wireless Sensing in Complex Scenarios Using Spatial Structural Information", Accepted for publication in IEEE Transactions on Wireless Communications.
7. W. Xu, X. Li, C. Lee, M. Pan, and Z. Feng, "Joint Sensing Duration Adaptation, User Matching, and Power Allocation for Cognitive OFDM-NOMA Systems", Accepted for publication in IEEE Transactions on Wireless Communications.
8. J. Wang, Q. Gao, M. Pan, X. Zhang, Y. Yu and H. Wang, "Towards Accurate Device-Free Wireless Localization with a Saddle Surface Model", accepted by IEEE Transactions on Vehicular Technology.
9. Y. Pang, H. Ding, J. Liu, Y. Fang and S. Chen, "A UHF RFID based system for children tracking," IEEE Internet of Things Journal, vol.5, no.6, pp.5055-5064, December 2018.
10. H. Ding and Y. Fang, "Virtual infrastructure at traffic lights: vehicular temporary storage assisted data transportation at signalized intersections," IEEE Transactions on Vehicular Technology, vol.67, no.12, pp.12452-12456, December 2018.
11. H. Ding, X. Li, Y. Cai, B. Lorenzo and Y. Fang, "Intelligent data transportation in smart cities: a spectrum-aware approach," IEEE/ACM Transactions on Networking, vol.26, no.6, pp.2598-2611, December 2018.
12. H. Ding, C. Zhang, X. Li, J. Liu, M. Pan, Y. Fang and S. Chen, "Session-based cooperation in cognitive radio networks: a network-level approach,'' IEEE/ACM Transactions on Networking, vol.26, no.6, pp.2598-2611, December 2018..
13. P. Zhou, K. Cheng, X. Han, X. Fang, Y. Fang, R. He, Y. Long and Y. Liu, "IEEE 802.11ay based mmWave WLANs: challenges and possible solutions," IEEE Communications Surveys and Tutorials, vol.20, no.3, pp.1654-1681, Third Quarter 2018.
14. Y. Cui, X. Fang, Y. Fang and M. Xiao, "Optimal non-uniform steady {mmWave} beamforming for high speed railway," IEEE Transactions on Vehicular Technology, vol. 67, no.5, pp.4350-4358, May 2018.
15. H. Ding, C. Zhang, Y. Cai and Y. Fang, "Smart cities on wheels: a newly emerging vehicular cognitive capability harvesting network for data transportation,'' IEEE Wireless Communications, vol.25, no.2, pp.160-169, April 2018.
16. J. Wang, Q. Gao, M. Pan and Y. Fang, "Device-free wireless sensing: challenges, opportunities, and applications," IEEE Network, vol.32, no.2, pp.132-137, March/April 2018.
17. Y. Gong, C. Zhang, Y. Fang, and J. Sun, "Protecting location privacy for task allocation in ad hoc mobile cloud computing," IEEE Transactions on Emerging Topics in Computing vol.6, no.1, pp.110-121, March 2018.
18. B. Lorenzo, J. Garcia-Rois, X. Li, F. J. Gonzalez-Castano and Y. Fang, "A robust dynamic edge network architecture for the Internet-of-Things,'' IEEE Network, vol.32, no.1, pp.8-15, January/February, 2018.
19. P. Zhou, X. Fang, Y. Fang, Y. Long, R. He and X. Han, "Enhanced random access and beam training for mmWave wireless local area networks with high user density,'' IEEE Transactions on Wireless Communications, vol.16, no.12, pp.7760-7773, December 2017.
20. L. Yan, X. Fang and Y. Fang, "A novel network architecture for C/U-plane staggered handover in 5G decoupled heterogeneous railway wireless systems,'' IEEE Transactions on Intelligent Transportation Systems, vol.18, no.12, pp.3350 - 3362, December 2017.
21. H. Song, L. Yan, X. Fang and Y. Fang, "Control/user plane decoupled architecture utilizing unlicensed bands in LTE systems," IEEE Wireless Communications, vol.24, no.5, pp.132-142, October 2017.
22. L. Yan, X. Fang, Y. Fang and X. Cheng, "Dual-scheduler design for {C/U-plane} decoupled railway wireless networks,'' IEEE Transactions on Mobile Computing, vol.16, no.7, pp.1842-1855, July 2017.
23. X. Li, Y. Sun, Y. Guo, X. Fu and M. Pan, "Dolphins First: Dolphin-Aware Communications in Multi-hop Underwater Cognitive Acoustic Networks", IEEE Transactions on Wireless Communications, Vol. 16, No. 4, pp. 2043-2056, April 2017.
24. G. Zhuo, Q. Jia, L. Guo, M. Li, and P. Li, "Privacy-preserving verifiable set operation in big data for cloud-assisted mobile crowdsourcing," IEEE Internet of Things Journal, Vol. 4, No. 2, pp. 572-582, April 2017.
25. J. Wang, L. Hai, H. Yue and Y. Fang, "Spectrum-aware anypath routing in cognitive capacity harvesting networks," IEEE Transactions on Mobile Computing, vol.16, no.4, pp. 1176-1187, April 2017.
26. Y. Zhang, L. Song, M. Pan, Z. Dawy and Z. Han, "Non-Cash Auction for Spectrum Trading in Cognitive Radio Networks: A Contract Theoretical Model with Joint Adverse Selection and Moral Hazard", IEEE Journal on Selected Areas in Communications (JSAC), Vol. 35, No. 3, pp. 643-653, March 2017.
27. A. Shams Shafigh, P. Mertikopoulos, S. Glisic and Y. Fang, "Semi-cognitive radio networks: a novel dynamic spectrum sharing mechanism,'' IEEE Transactions on Cognitive Communications and Networking, vol.3, no.1, pp.97-111, March 2017.
28. H. Ding, Y. Fang, X. Huang, M. Pan, P. Li, S. Glisic, Cognitive capacity harvesting networks: architectural evolution towards future cognitive radio networks,'' {\em IEEE Communications Surveys and Tutorials}, vol.19, no.3, pp.1902-1923, Third Quarter 2017.
29. Y. Liu, R. Yu, M. Pan, Y. Zhang and S. Xie, "SD-MAC: Spectrum Database-Driven MAC Protocol for Cognitive Machine-to-Machine Networks", IEEE Transactions on Vehicular Technology (TVT), Vol. 66, No. 2, pp. 1456-1467, February 2017.
30. B. Lorenzo, F. J. Gonzalez-Castano and Y. Fang, "A novel collaborative cognitive dynamic network architecture,'' IEEE Wireless Communications, vol.24, no.1, pp.74-81, February 2017.
31. H. Song, X. Fang and Y. Fang, "mmWave network architectures for future high-speed railway communications: challenges and solutions," IEEE Wireless Communications, vol.23, no.6, pp.114-122, December 2016.
32. J. Liu, H. Ding, Y. Cai, H. Yue, Y. Fang and S. Chen, "An energy-efficient strategy for secondary users in cooperative cognitive radio networks for green communications," IEEE Journal on Selected Areas in Communications: Series on Green Communications and Networking (JSAC-SGCN), vol.34, no.12, pp.3195-3208, December 2016.
33. Z. Lu, W. Li, Y. Pang, M. Pan, W. Wu and Z. Han, "Collaborative Data and Energy Transmission for Energy-rechargeable Mobile Devices", IEEE Transactions on Wireless Communications, Vol. 15, No. 12, pp. 8525-8536, December 2016.
34. H. Song, X. Fang and Y. Fang, "Unlicensed spectra fusion and interference coordination for LTE systems," IEEE Transactions on Mobile Computing, vol.15, no.12, pp.3171-3184, December 2016.
35. W. Liao, M. Li, S. Salinas, P. Li, and M. Pan, "Energy-Source-Aware Cost Optimization for Green Cellular Networks with Strong Stability", IEEE Transactions on Emerging Topics in Computing (TETC) , Vol. 4, No. 4, pp. 541-555, December 2016.
36. J. Wang, W. Ding, Y. Guo, C. Zhang, M. Pan and J. Song, "M3-STEP: Matching Based Multi-Radio Multi-Channel Spectrum Trading with Evolving Preferences", IEEE Journal on Selected Areas in Communications (JSAC), Vol. 34, No. 11, pp. 3014-3024, November 2016.
37. X. Li, H. Ding, M. Pan, Y. Sun and Y. Fang, "Users First: Service-Oriented Spectrum Auction with a Two-Tier Framework Support", IEEE Journal on Selected Areas in Communications (JSAC), Vol. 34, No. 11, pp. 2999-3013, November 2016.
38. A. Thapa, W. Liao, M. Li, P. Li, and J. Sun, "SPA: A secure and private auction framework for decentralized online social networks," IEEE Transaction on Parallel and Distributed System, Vol. 27, No. 8, 2394-2407, August 2016.
39. L. Yan, X. Fang, G. Min and Y. Fang, "A low-latency collaborative HARQ scheme for control/user-plane decoupled railway wireless networks," IEEE Transactions on Intelligent Transportation Systems, vol.17, no.8, pp.2282-2295, August 2016.
40. P. Si, H. Yue, Y. Zhang and Y. Fang, "Spectrum management for proactive video caching in information-centric cognitive radio networks," IEEE Journal on Selected Areas in Communications (Special Issue on Video Distribution over Future Internet), vol.34, no.8, pp.2247-2259, August 2016.
41. J. Wang, Q. Gao, M. Pan, X. Zhang, Y. Yu and H. Wang, "Towards Accurate Device-Free Wireless Localization with a Saddle Surface Model", IEEE Transactions on Vehicular Technology (TVT) , Vol. 65, No. 8, pp. 6665-6677, August 2016.
42. S. Salinas, X. Chen, J. Ji, and P. Li, "A tutorial on secure outsourcing of large-scale computations for big data," IEEE Access, vol. 4, pp. 1406-1416, April 2016.
43. S. Salinas and P. Li, "Privacy-preserving energy theft detection in microgrids: A state estimation approach," IEEE Transactions on Power Systems, Vol. 31, No. 2, pp. 883-894, March 2016.
44. I. Sugathapala, I. Kovachevic, B. Lorenzo, S. Glisic, and Y. Fang, "Quantifying benets in a business portfolio for multi-operator spectrum sharing," IEEE Transactions on Wireless Communications, vol.14, no.12, pp.6635-6649, December 2015.
45. Y. Gu, Y. Zhang, Miao Pan and Zhu Han, "Matching and Cheating in Device to Device Communications Underlaying Cellular Networks", IEEE Journal on Selected Areas in Communications, vol. 33, no. 10, pp. 2156-2166, October 2015.
46. M. Kangas, S. Glisic, Y. Fang, and P. Li, "Resource harvesting in cognitive wireless computing networks with mobile clouds and virtualized distributed data centers," IEEE Transactions on Cognitive Communications and Networking, vol.1, no.3, pp.318-334, September 2015.
47. H. Zhao, M. Pan, X. Liu, X. Li, and Y. Fang, "Exploring fine-grained resource rental planning in cloud computing," IEEE Transactions on Cloud Computing, vol.3, no.3, pp. 304-317, July-September 2015.
48. A. Thapa, M. Li, S. Salinas and P. Li, "Asymmetric Social Proximity Based Private Matching Protocols for Online Social Networks," IEEE Transaction on Parallel and Distributed System, vol.26, no.6, pp.1547-1559, June 2015.
49. C. Luo, L. T. Yang, P. Li, X. Xia, and H.-C. Chao, "A holistic energy optimization framework for cloud-assisted mobile computing," IEEE Wireless Communications, vol. 22, no. 3, pp. 118-123, June 2015.
50. M. Li, S. Salinas, P. Li, J. Sun and X. Huang, "MAC-Layer Selfish Misbehavior in IEEE 802.11 Ad Hoc Networks: Detection and Defense," IEEE Transactions on Mobile Computing, vol.14, no.6, pp.1203-1217, June 2015.
51. Z. Lu, W. Li, and M. Pan, "Maximum lifetime scheduling for target coverage and data collection in wireless sensor networks", IEEE Transactions on Vehicular Technology, vol.64, no.2, pp.714-727, February 2015.
52. L. Yan, X. Fang, and Y. Fang, "Control and data signaling decoupled architecture for railway wireless networks," IEEE Wireless Communications, vol.22, no.1, pp.103-111, February 2015.
53. M. Li, P. Li, X. Huang, Y. Fang, and S. Glisic, "Energy consumption optimization for multihop cognitive cellular networks," IEEE Transactions on Mobile Computing, vol.14, no.2, pp.358-372, February 2015.
54. M. Li, S. Salinas, P. Li, X. Huang, Y. Fang, and S. Glisic, "Optimal scheduling for multi-radio multi-channel multi-hop cognitive cellular networks," IEEE Transactions on Mobile Computing, vol.14, no.1, pp.139-154, January 2015.
55. Y. Long, H. Li, H. Yue, M. Pan and Y. Fang,  SUM: spectrum utilization maximization in energy-constrained cooperative cognitive radio networks,'' IEEE Journal on Selected Areas in Communications: Cognitive Radio Series, vol.32, no.11, pp.2105-2116, November 2014.
56. H. Yue, L. Guo, R. Li, H. Asaeda and Y. Fang,  DataClouds: enabling community-based data-centric services over Internet of things,'' ( invited), IEEE Internet of Things Journal, vol.1, no.5, pp.472-482, October 2014.
57. M. Pan, P. Li, Y. Song, Y. Fang, P. Lin, and S. Glisic, "When spectrum meets clouds: optimal session based spectrum trading under spectrum uncertainty," IEEE Journal on Selected Areas in Communications, vol.32, no.3, pp.615-627, March 2014.

Papers in Refereed Conferences

1. S. Huang, Z. Wang, C. Zhang and Y. Fang, "Exploiting aerial heterogeneous network for implementing wireless flight recorder," The 13th International Conference on Wireless Algorithms, Systems, and Applications (WASA), Tianjin, China, June 20-22, 2018.
2. K. Rabieh, M. Pan, Z. Han, and V. Ford, "SRPV: A Scalable Revocation Scheme for Pseudonyms-based Vehicular Ad Hoc Networks", IEEE International Conference on Communications (ICC'18), Kansas City, MO, May 20-24, 2018.
3. Y. Hu, X. Li, J. Liu, H. Ding, Y. Gong and Y. Fang, "Mitigating traffic analysis attack in smartphones with edge network assistance,'' IEEE International Conference on Communications (ICC'18), Kansas City, Missouri, USA, May 20-24, 2018.
4. B. Feng, C. Zhang, H. Ding and Y. Fang, "PhyCast: towards energy efficient packet overhearing in WiFi networks,'' IEEE International Conference on Communications (ICC'18), Kansas City, Missouri, USA, May 20-24, 2018.
5. D. Han, W. Chen and Y. Fang, "Power-optimal scheduling for delay constrained mobile computation offloading,'' IEEE International Conference on Communications (ICC'18), Kansas City, Missouri, USA, May 20-24, 2018.
6. D. Wei, L. Yan, X. Li, Y. Sun, D. Yuan, J. Chen, and M. Pan, "Exploiting Magnetic Field Analysis to Characterize MI Wireless Communications in Subsea Environments", International Conference on Computing, Networking and Communications (ICNC'18), Maui, HI, March 5-8, 2018.
7. Z. Lu, J. Youngs, Z. Chen, and M. Pan, "Novel Scheduling for Energy Management in Microgrid", International Conference on Combinatorial Optimization and Applications (COCOA'17), Shanghai, China, December 16-18, 2017.
8. D. Han, W. Chen, B. Bai and Y. Fang, "On outage of wireless cloud computing: offloading optimization and bottleneck analysis,'' IEEE Global Communications Conference (GLOBECOM'17), Singapore, December 4-8, 2017.
9. J. Wang, Y. Gong, L. Qian, R. Jantti, M. Pan, and Z. Han, "Primary Users' Operational Privacy Preservation via Data-Driven Optimization", IEEE Global Communications Conference (GLOBECOM'17), Singapore, December 4-8, 2017. Won the Best Paper Award.
10. C. Luo, S. Salinas, M. Li, and P. Li, "Energy-efficient computation automatic offloading in mobile edge computing," Proceeding of IEEE DASC, Orlando, FL, USA, November 2017. Won the Best Paper Award.
11. J. Xin, M. Li, L. Guo, and P. Liu, "Practical privacy-preserving spectrum query schemes for database-driven CRNs with multiple service provider," Proceeding of the IEEE Conferences on Communications and Network Security (CNS'17), Las Vegas, NV, USA, October 2017.
12. K. Niu, L. Wei, C. Zhang, J. Liu and Y. Fang, "An anonymous and accountable authentication scheme for Wi-Fi hotspot access with the bitcoin blockchain,'' 2017 IEEE/CIC International Conference on Communications in China (ICCC), Qingdao, China, October 22-24, 2017.
13. B. Feng, J. Liu, C. Zhang and Y. Fang, "Communication through symbol silence: towards free control messages in indoor WLANs,'' The 37th IEEE International Conference on Distributed Computing (ICDCS'2017), Atlanta, GA, USA, June 5-8, 2017.
14. L. Yu, Q. Wang, Y. Guo, and P. Li, "Spectrum availability prediction for cognitive aerospace communications: A deep learning perspective," Proceeding of the IEEE Cognitive Communications For Aerospace Applications Workshop, Cleveland, Ohio, June 2017.
15. S. Errapotu, J. Loveless, R. Yu, S. Ren, M. Pan, and Z. Han, "Privacy Preserving Clock Auction for Emergency Demand Response in Colocation Data Centers", IEEE International Conference on Communications (ICC'17), Paris, France, May 21-25, 2017.
16. Y. Gu, L. Wang, M. Pan and Z. Han, "Exploiting the Stable Fixture Matching Game for Mobile Crowd Sensing: A Local Event Sharing Framework", IEEE International Conference on Communications (ICC'17), Paris, France, May 21-25, 2017.
17. Z. Yu, Y. Guo, and M. Pan, "Coalitional Datacenter Energy Cost Optimization in Electricity Markets", ACM International Conference on Future Energy Systems (ACM e-Energy'17), Hong Kong, China, May 17-19, 2017.
18. J. Xin, M. Li, C. Luo, and P. Li, "Privacy-preserving spectrum query with location proofs in database-driven CRNs," Proceedings of IEEE Global Communications Conference (Globecom'16), Washington, DC, USA, December 2016.
19. W. Liao, W. Du, S. Salinas, and P. Li, "Efficient privacy-preserving outsourcing of large-scale convex separable programming for smart cities," Proceedings of the 14th IEEE International Conference on Smart City (SmartCity 2016), Sydney, Australia, December 2016.
20. J. Liu, C. Zhang, H. Ding, H. Yue and Y. Fang, "Policy-based privacy-preserving scheme for primary users in database-driven cognitive radio networks," IEEE Global Communications Conference (Globecom), Washington, DC, December 4-8, 2016.
21. S. Errapotu, J. Wang, Z. Lu, W. Li, M. Pan, and Z. Han, "Bidding Privacy Preservation for Dynamic Matching Based Spectrum Trading", IEEE Global Communications Conference (GLOBECOM'16), Washington, DC, December 4-8, 2016.
22. J. Wang, W. Ding, Y. Guo, C. Zhang, M. Pan, and J. Song, "Dynamic Matching Based Distributed Spectrum Trading in Multi-Radio Multi-Channel CRNs", IEEE Global Communications Conference (GLOBECOM'16), Washington, DC, December 4-8, 2016.
23. L. Niu, Y. Guo, H. Li, and M. Pan, "A Nash Bargaining Approach to Emergency Demand Response in Colocation Data Centers", IEEE Global Communications Conference (GLOBECOM'16), Washington, DC, December 4-8, 2016.
24. Y. Gu, L. X. Cai, M. Pan, L. Song and Z. Han, "Exploiting the Stable Fixture Matching Game for Content Sharing in D2D-based LTE-V2X Communications", IEEE Global Communications Conference (GLOBECOM'16) , Washington, DC, December 4-8, 2016.
25. J. Wang, Y. Long, J. Wang, S. Errapotu, Y. Guo and M. Pan, "Distributed Spectrum Trading via Dynamic Matching with Evolving Preferences", IEEE/CIC International Conference on Communications in China (ICCC'16), Chengdu, China, July 27-29, 2016.
26. S. Salinas, C. Luo, W. Liao, and P. Li, "Efficient secure outsourcing of quadratic programs," Proceeding of the ACM Asia Conference on Computer and Communications Security (ASIACCS'16), Xi'an, China, May 2016.
27. G. Zhuo, Q. Jia, L. Guo, M. Li, and P. Li, "Privacy-preserving verifiable data aggregation and analysis for cloud-assisted mobile crowdsourcing," Proceeding of the IEEE International Conference on Computer Communications (INFOCOM'16), San Francisco, California, April 2016.
28. Z. Lu, W. Wu, W. Li and M. Pan, "Efficient Scheduling Algorithms for On-Demand Wireless Data Broadcast", IEEE International Conference on Computer Communication (INFOCOM'16), San Francisco, CA, April 10-15, 2016.
29. X. Li, M. Pan, Y. Song, Y. Sun, and Y. Fang, "Economic-robust session based spectrum trading in multi-hop cognitive radio networks," in IEEE Globecom, San Diego, California, 6-10 December 2015. Won the Best Paper Award
30. Y. Gu, Y. Zhang, L. Cai, M. Pan, L. Song and Z. Han, "Exploiting Student-Project Allocation Matching for Spectrum Sharing in LTE-Unlicensed" in IEEE Globecom, San Diego, California, 6-10 December 2015.
31. Y. Zhang, Y. Gu, L. Song, M. Pan, Z. Dawy and Z. Han, "Tournament Based Incentive Mechanism Designs for Mobile Crowdsourcing," IEEE Globecom, San Diego, California, 6-10 December 2015.
32. J. Liu, H. Yue, H. Ding, P. Si, and Y. Fang, "An energy-efficient cooperative strategy for secondary users in cognitive radio networks," in IEEE Globecom, San Diego, California, 6-10 December 2015.
33. H. Ding, H. Yue, J. Liu, P. Si, and Y. Fang, "Energy-efficient secondary traffic scheduling with MIMO beamforming," in IEEE Globecom, San Diego, California, 6-10 December 2015.
34. Y. Guo and M. Pan, "Coordinated Energy Management for Colocation Data Centers in Smart Grids", IEEE International Conference on Smart Grid Communications (SmartGridComm 2015), Miami, FL, November 2-5, 2015.
35. M. Li, P. Li, L. Guo, and X. Huang, "PPER: Privacy-preserving economic-robust spectrum auction in wireless networks," Proceeding of the IEEE International Conference on Computer Communications (INFOCOM'15), Hong Kong, China, May 2015.
36. L. Guo, Y. Fang, M. Li, and P. Li, "Verifiable privacy-preserving monitoring for cloud-assisted mhealth systems," Proceeding of the IEEE International Conference on Computer Communications (INFOCOM'15), Hong Kong, China, May 2015.
37. S. Salinas, C. Luo, X. Chen, and P. Li, "Efficient secure outsourcing of large-scale linear systems of equations," Proceeding of the IEEE International Conference on Computer Communications (INFOCOM'15), Hong Kong, China, May 2015.
38. Y. Gu, Y. Zhang, M. Pan and Z. Han, "Student Admission Matching based Content-Cache Allocation", IEEE Wireless Communications and Networking Conference (WCNC'15), New Orleans, LA, March 9-12, 2015
39. F. Sangare, A. Arab, M. Pan, L. Qian, S. Khator and Z. Han, "RF Energy Harvesting for WSNs via Dynamic Control of Unmanned Vehicle Charging", IEEE Wireless Communications and Networking Conference (WCNC'15), New Orleans, LA, March 9-12, 2015.
40. Y. Pang, Y. Zhang, Y. Gu, M. Pan, Z. Han and P. Li, "Efficient Data Collection for Wireless Rechargeable Sensor Clusters in Harsh Terrains Using UAVs," IEEE Global Communications Conference (GLOBECOM'14), Austin, TX, 8-12 December, 2014.
41. Y. Gu, Y. Zhang, M. Pan and Z. Han, "Cheating in Matching of Device to Device Pairs in Cellular Networks," IEEE Global Communications Conference (GLOBECOM'14), Austin, TX, 8-12 December, 2014
42. E. Pan, M. Pan, Z. Han and V. Wright, "Mobile Trace Inference Based on Tensor Voting," IEEE Global Communications Conference (GLOBECOM'14), Austin, TX, 8-12 December, 2014
43. T. Wu, C. Zhang, N. Yu and M. Pan, "Quadtree-based Optimal Path Routing with the Smallest Routing Table Size," IEEE Global Communications Conference (GLOBECOM'14), Austin, TX, 8-12 December, 2014
44. Y. Zhang, Y. Gu, M. Pan and Z. Han, "Distributed Matching Based Spectrum Allocation in Cognitive Radio Networks," IEEE Global Communications Conference (GLOBECOM'14), Austin, TX, 8-12 December, 2014
45. M. Pan, H. Li, Y. Pang, R. Yu, Z. Lu and W. Li, "Optimal Energy Replenishment and Data Collection in Wireless Rechargeable Sensor Networks," IEEE Global Communications Conference (GLOBECOM'14), Austin, TX, 8-12 December, 2014
46. S. Salinas, C. Luo, W. Liao and P. Li, "State Estimation for Energy Theft Detection in Microgrids," The 9th International Conference on Communications and Networking in China (ChinaCom'14), Maoming, China, August 14-16, 2014. (Best Paper Award)
47. W. Liao, M. Li, S. Salinas, P. Li, and M. Pan, "Optimal Energy Cost for Strongly Stable Multi-hop Green Cellular Networks," International Conference on Distributed Computing Systems (ICDCS'14), Madrid, Spain, 30 June - 3 July, 2014. (Acceptance ratio: 66/500 = 13%)
48. Y. Liu, R. Yu, M. Pan and Y. Zhang, "Adaptive Channel Access in Spectrum Database-Driven Cognitive Radio Networks," IEEE International Conference on Communications (ICC'14), Sydney, Australia, 10-14 June, 2014.
49. Y. Long, H. Li, Y. Hao, M. Pan and Y. Fang,  Spectrum utilization maximization in energy limited cooperative cognitive radio networks,'' IEEE International Conference on Communications (ICC'14), Sydney, Australia, 10-14 June, 2014.
50. Y. Gu, M. Pan and W. Li, "Maximizing the Lifetime of Delay-Sensitive Sensor Networks via Joint Routing and Sleep Scheduling," International Conference on Computing, Networking and Communications (ICNC'14), Honolulu, HI, 3-6 February, 2014.

Outreach and Education Activities for Broader Impact

Course Development

The research in this project is one of the main topics in the courses EEL 4598/5718: Computer Communications, EEL 6591: Wireless Networks, and EEL 6507: Queueing Systems and Data Communications at University of Florida, the split-level courses ECE 4813/6813: Communication Theory and ECE 4823/6823: Digital Communications, and the graduate courses ECE 8823: Advanced Topics in Wireless Networks and ECE 8990: Wireless Communications at Mississippi State University, and various courses offered at Texas Southern University. The research outcomes and network design methodologies developed in this project have been channelized into the classroom.

Student Mentoring

With the project support, we have been able to support graduate and undergraduate students to carry out fundamental research on cognitive radio networks and develop new technologies for next generation cellular systems and various mobile applications. Each week, each PI holds weekly research meeting to review the research progress and brainstorm new ideas. Moreover, through the Skype, the PIs could communicate with research progress and exchange research ideas. During the whole collaborative research project, both graduate students and undergraduate students (including minority students) could not only learn to work on research problems together, but more importantly are trained on how to learn, think, and present, from which they could learn how to teach as well. Some graduate students have successfully landed academic jobs to continue to train future work force. This collaborative research project is indeed fruitful and has trained strong professional work force in telecommunications.

Research Dissemination

Our major results have been disseminated through presentations and publications in meetings, conferences, and journals. A substantial quantity of the materials of this project have also been made publicly available here.

Talks/Seminars

1. "Connected Vehicles Make Cities Smarter: Communications, Computing, Storage, and Intelligence, School of Control Science and Engineering, Jinan, Shandong, China, December 7, 2018.
2. "Connected Vehicles Make Cities Smarter: Communications, Computing, Storage, and Intelligence," School of Information Science and Engineering, Jinan University, Jinan, Shandong, China, December 6, 2018.
3. "Connected Vehicles Make Cities Smarter: Communications, Computing, Storage, and Intelligence," Keynote Speaker, 2018 International Workshop on Advances in Information Coding and Wireless Communications (AICWC'2018), Chengdu, China, November 30-December 2, 2018.
4. "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Keynote Speaker, China Institute of Communications (CIC) Blue Sea Forum for Global Scientists in conjunction with 2018 Workshop on Scientific Research Fronts, China Communications magazine, Dali, China, August 2-4, 2018.
5. "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Keynote Speaker, 2018 Workshop on the Edge Computing and Internet of Intelligence, Central South University, Changsha, China, July 17, 2018.
6. "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Keynote Speaker, 2018 International Workshop on the Internet of Things, University of Electrical Science and Technology of China, Chengdu, China, July 13-14, 2018.
7. "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, July 2, 2018.
8. "Beef Up the Edge: How to Build an Efficient and Robust IoT System," School of Information and Computer Science, Shandong Normal University, Jinan, Shandong, China, June 21, 2018.
9. "Beef Up the Edge: How to Build an Efficient and Robust IoT System," School of Computer Science and Technology, Xiangtan University, Xiangtan, Hunan, China, June 18, 2018.
10. "Mathematical Modeling and Practical Relevance: Lessons Learned," Department of Electrical and Communication Engineering, Central South University (Yuelu Campus), Changsha, Hunan, China, June 16, 2018.
11. "Mathematical Modeling and Practical Relevance: Lessons Learned," Department of Electrical and Communication Engineering, Central South University (Railway Campus), Changsha, Hunan, China, June 15, 2018.
12. "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Academy for Advanced Interdisciplinary Study, Peking University, Beijing, China, June 9, 2018.
13. "Beef Up the Edge: How to Build an Efficient and Robust IoT System," School of Geophysics and Information Engineering, China University of Petroleum, Beijing, China, June 7, 2018.
14. "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Department of Computer Science, San Francisco State University, San Francisco, CA, May 14, 2018.
15. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System,'' School of Information and Communications Engineering, Dalian University of Technology, Dalian, Liaoning, China, March 8, 2018.
16. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System,'' Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China, March 7, 2018.
17. Y. Fang, "How to Harness Opportunistic Resource and Capability: A Collaborative Network Design Approach,'' Institute for Infocomm Research (I2R), Singapore, December 4, 2017.
18. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Keynote Speaker, 2017 International Workshop on Advances in Information Coding and Wireless Communications (AICWC'2017), Chengdu, China, November 5-8, 2017.
19. Y. Fang, "How to Harness Opportunistic Resource and Capability: A Collaborative Network Design Approach,'' Keynote Speaker, IEEE Vehicular Technology Conference (VTC'2017 Fall), Toronto, Canada, September 24-27, 2017.
20. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' School of Electrical Engineering and Computer Science, Peking University, Beijing, China, August 8, 2017.
21. Y. Fang, "Connected Things for Information, Communications, Computing, and Control (ICCC),'' School of Computer Science and Information Engineering, Jiangsu University, Zhenjiang, China, August 4, 2017.
22. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Department of Automation, Shanghai Jiao Tong University, Shanghai, China, August 3, 2017.
23. Y. Fang, "Connected Things for Intelligence, Communications, Computing and Control (ICCC),'' School of Computer Science and Technology, University of Science and Technology of China, Hefei, China, August 1, 2017.
24. Y. Fang, "Connected Things for Intelligence, Communications, Computing and Control (ICCC),'' School of Computer Science and Technology, Anhui University, Hefei, China, July 31, 2017.
25. Y. Fang, "Connected Things for Intelligence, Communications, Computing and Control (ICCC),'' School of Computer and Information, Hefei University of Technology, Hefei, China, July 31, 2017.
26. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' School of Information and Communications Engineering, Dalian University of Technology, Dalian, Liaoning, China, July 27, 2017.
27. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' School of Information Science & Technology, Northwest University, Xi'an, China, July 24, 2017
28. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Keynote Speaker, Joint Workshop on Advances in Wireless Communications (WAWC'2017), Chengdu, China, July 20, 2017.
29. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Keynote Speaker, Joint Workshop on Advances in Wireless Communications (WAWC'2017), Nanjing, China, July 18, 2017.
30. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Keynote Speaker, The 2nd Wireless Silk Road International Academic Symposium, Beijing Jiao Tong University, China, July 16, 2017.
31. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Distinguished Keynote Speech, `IEEE Fellows in BUPT'' Series, Faculty Development Center in BUPT, Beijing University of Posts & Telecommunications, Beijing, China, June 5, 2017.
32. Y. Fang, "Connected Things for Intelligence, Communications, Computing and Control (ICCC),'' School of Computer Science and Cybersecurity, Dongguan Institute of Technology, Dongguan, Guangdong, China, June 1, 2017.
33. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' School of Information Science and Technology and School of Cyberspace Security, Jinan University, Guangzhou, Guangdong, China, May 31, 2017.
34. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' School of Information and Communications Engineering, Shandong University, Jinan, Shandong, China, May 24, 2017.
35. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' School of Information and Computer Science, Shandong Normal University, Jinan, Shandong, China, May 24, 2017.
36. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China, May 22, 2017.
37. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' School of Information and Computer Science, Southwest Jiao Tong University, Chengdu, China, May 18, 2017.
38. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Keynote Speaker, Wuhan Forum on Communications and Networking, Huazhong University of Science and Technology, Wuhan, China, May 16, 2017.
39. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Keynote Speaker, Communications and Networking Summit, Wuhan University, Wuhan, China, May 15, 2017.
40. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Keynote Speaker, ACM Turing 50th Celebration Conference--China (ACM TURC), Shanghai, China, May 12, 2017.
41. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Keynote Speaker, Wireless Communications Forum, Tongji University, Shanghai, China, May 11, 2017.
42. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' School of Information and Computer Science, Qufu Normal University, Rizhao, China, May 9, 2017.
43. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Invited Presentation, Florida Institute for National Security Workshop, University of Florida, Gainesville, FL, April 3, 2017.
44. Y. Fang, "Connected Things for Intelligence, Communications, Computing and Control (ICCC),'' IEEE Distinguished Lecture, IEEE Vehicular Technology Society, University of Waterloo, Waterloo, Canada, March 24, 2017.
45. Y. Fang, "Connected Things for Intelligence, Communications, Computing and Control (ICCC),'' IEEE Distinguished Lecture, IEEE Vehicular Technology Society, Ryerson University, Toronto, Canada, March 23, 2017.
46. Y. Fang, "Connected Things for Information, Communications, Computing, and Control (ICCC),'' School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China, December 21, 2016.
47. Y. Fang, "Connected Things for Information, Communications, Computing, and Control (ICCC),'' College of Information Science and Technology, Beijing Normal University, Beijing, China, December 13, 2016.
48. Y. Fang, "Connected Things for Information, Communications, Computing, and Control (ICCC),'' Keynote Speaker, Future Industrial Internet Summit, Beijing University of Technology, Beijing, China, December 12, 2016.
49. Y. Fang, "Connected Things for Information, Computing, and Control,'' Plenary Talk, First International Workshop on Cybersecurity and Computing, Chengdu, China, October 14-15, 2016.
50. Y. Fang, "Connected Things for Information, Computing, and Control,'' Plenary Talk, International Workshop on Future Network Computing, Changsha, China, October 12-13, 2016.
51. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' Keynote Speaker, The Future 5G on Wireless Communications and Networking Big Data (FWCN 2016), Jilin University, Jilin, China, August 9, 2016.
52. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' School of Computer Science and Engineering, Shanghai Jiao Tong University, June 30, 2016.
53. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' College of Information Science and Technology, Zhongnan University, Changsha, Hunan, China, June 28, 2016.
54. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' College of Computer, National University of Defense Technology, Changsha, Hunan, China, June 27, 2016.
55. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' Faculty of Science and Technology, University of Macau, Macau, China, June 22, 2016.
56. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' IEEE Distinguished Lecture, IEEE Vehicular Technology Society, National Chiao Tung University, Hsinchu, Taiwan, June 17, 2016.
57. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' IEEE Distinguished Lecture, IEEE Vehicular Technology Society, National Taiwan University, Taipei, Taiwan, June 16, 2016.
58. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' IEEE Distinguished Lecture, IEEE Vehicular Technology Society, National Cheng Kung University, Tainan, Taiwan, June 13, 2016.
59. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' School of Information and Communications Engineering, Shandong University, Jinan, Shandong, China, May 31, 2016.
60. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' School of Information and Communications Engineering, Dalian University of Technology, Dalian, Liaoning, China, May 26, 2016.
61. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' Institute of Intelligent Information Processing \& Institute of Extensics, Guangdong University of Technology, Guangzhou, Guangdong, May 20, 2016.
62. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' School of Electronic Engineering and Opto-Electronic Technology, Nanjing University of Science and Technology, Nanjing, China, May 18, 2016.
63. Y. Fang, "Connected Things: Enabling Technologies for Information, Intelligence, and Decision Making,'' Department of Computer Science, Texas Southern University, Houston, Texas, May 6, 2016.
64. Y. Fang, "Enabling Connected Things for Information, Intelligence and Control,'' Distinguished Lecture, 2016 Distinguished Lecture Series, School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, April 21, 2016.
65. Y. Fang, "A Collaborative Design of Spectrum Harvesting Networks", Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio, November 3, 2015.
66. Y. Fang, "A Collaborative Design of Spectrum Harvesting Networks", Huawei Technologies, Chengdu, China, October 21, 2015.
67. Y. Fang, "A Collaborative Design of Spectrum Harvesting Networks", Keynote, The 7th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, October 15-17.
68. Y. Fang, "A Collaborative Design of Spectrum Harvesting Networks,'' School of Electrical Engineering and Computer Science, Peking University, Beijing, China, October 12, 2015.
69. Y. Fang, "Cognitive Radio Networks: Design Challenges and Potential Solutions,'' Invited Talk, 2015 Workshop on New Frontiers in Control, Communications, and Computing (NFC3), Qinhuandao, Hebei, China, August 17-18, 2015.
70. Y. Fang, "Cognitive Radio Networks: Design Challenges and Potential Solutions,'' Keynote, The 10th EAI International Conference on Communications and Networking in China (ChinaCom'15), Shanghai, China, August 15-17, 2015.
71. Y. Fang, "Collaborative Design for Cognitive Radio Networks,'' Department of Electrical and Computer Engineering, University of Toronto, Canada, January 21, 2015.
72. Y. Fang, "Collaborative Design for Cognitive Radio Networks,'' Department of Electrical and Computer Engineering, University of Waterloo, Canada, January 19, 2015.
73. M. Pan, "Spectrum Clouds: A Novel Spectrum Trading System for Multi-hop Cognitive Radio Networks,'' Department of Electrical and Computer Engineering, University of Houston, Houston, TX, December 20, 2014.
74. Y. Fang, "Self-organizing Cognitive Architecture for Collaborative Communications Networks,'' Invited Speaker, 2014 International Workshop on Advances in Information Coding and Wireless Communications(AICWC'2014), Chengdu, China, 28-30 October, 2014.
75. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, July 25, 2014.
76. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, July 24, 2014.
77. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, July 21, 2014.
78. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' School of Software, Tsinghua University, Beijing, China, July 1, 2014.
79. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China, June 23, 2014.
80. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China, June 20, 2014.
81. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' School of Information and Communications Engineering, Dalian University of Technology, Dalian, Liaoning, China, June 19, 2014.
82. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' School of Computer Science and Technology, Shenzhen Graduate Institute, Harbin Institute of Technology, Shenzhen, Guandong, China, June 17, 2014.
83. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' School of Information and Communications, Guilin University of Electronic Technology, Guilin, Guangxi, China, June 13, 2014.
84. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' School of Computer Science, Wuhan University, Wuhan, China, June 9, 2014.
85. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' Department of Automation, Shanghai Jiao Tong University, Shanghai, China, June 6, 2014.
86. Y. Fang, "Architectural Design for Collaborative Cognitive Radio Networks,'' Department of Electronic Engineering, Konkuk University, Seoul, Korea, May 21, 2014.
87. Y. Fang, "Cognitive Radio Networks: Challenges and Possible Solutions,'' Institute of Information engineering, China Academy of Sciences, Beijing, China, May 16, 2014.
88. Y. Fang, "Cognitive Radio Networks: Challenges and Possible Solutions,'' Research Institute of Communication Technology, Beijing Institute of Technology, Beijing, China, May 15, 2014.