With the proliferated growth of wireless communication services, the radio spectrum has become a precious resource. On the other hand, many licensed spectrum bands are considerably under-utilized in both time and spatial domains. This situation has motivated extensive research on cognitive radio and dynamic spectrum access to increase spectrum utilization.
The major goal of the project is to develop novel architectures and algorithms for dynamic spectrum access in cognitive radio networks, to eliminate the technical barriers for success of cognitive radio networks, through significantly improving the spectrum utilization, the security, and the data transport performance of cognitive radio networks. In particular, we develop an application-oriented dynamic spectrum access architecture, termed on-demand spectrum access (ODSA), for cognitive radio networks to offer on-demand spectrum services to users, such that users can dynamically set up application-oriented virtual topologies to carry out specific applications.
Dr. ChunSheng Xin, Associate Professor
Venkata R. Perumalla
- C. Xin and M. Song, "Detection of PUE Attacks in Cognitive Radio Networks based on Signal Activity Pattern," IEEE Transactions on Mobile Computing (in press)
- Chunsheng Xin, Min Song, Liangping Ma, and Chien-Chung Shen, "ROP: Near-Optimal Rendezvous for Dynamic Spectrum Access Networks," IEEE Transactions on Vehicular Technology, (in press)
- Changlong Chen, Min Song, Chunsheng Xin, and Jonathan Backens, "A Game-Theoretical Anti-Jamming Scheme in Cognitive Radio Networks," IEEE Networks, vol. 27(3), pp. 22-27, May-June 2013
- Yanxiao Zhao, Min Song, and Chunsheng Xin, "FMAC: A Fair MAC Protocol for Coexisting Cognitive Radio Networks," to appear in Proceedings of the IEEE Conference on Computer Communications (Infocom), Apr. 2013, Turin, Italy
- Ying Dai, Jie Wu, and Chunsheng Xin, "Virtual Backbone Construction for Cognitive Radio Networks without Common Control Channel," to appear in Proceedings of the IEEE Conference on Computer Communications (Infocom), Apr. 2013, Turin, Italy
- Changlong Chen, Min Song, Chunsheng Xin, and Mansoor Alam, "A Robust Malicious User Detection Scheme in Cooperative Spectrum Sensing," in Proceedings of the IEEE Global Communications Conference (Globecom), Dec. 2012, Anaheim, CA
This project is supported in part by the National Science Foundation under grant CNS- 1217668.