Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks
|International Journal of Computer Science and Engineering|
|© 2016 by SSRG - IJCSE Journal|
|Volume 3 Issue 2|
|Year of Publication : 2016|
|Authors : S.Jagadeesan, R.Vidya|
How to Cite?
S.Jagadeesan, R.Vidya, "Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks," SSRG International Journal of Computer Science and Engineering , vol. 3, no. 2, pp. 7-14 , 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I2P102
We study the resource allocation problem in an OFDMA based cooperative cognitive radio network, where secondary users relay data for primary users in order to gain access to the spectrum. In light of user and channel diversity, we first propose FLEC, a novel flexible channel cooperation scheme. It allows secondary users to freely optimize the use of channels for transmitting primary data along with their own, in order to maximize performance. Further, we formulate a unifying optimization framework based on Nash bargaining solutions to fairly and efficiently allocate resources between primary and secondary networks, in both decentralized and centralized settings. We present an optimal distributed algorithm and a sub-optimal centralized heuristic, and verify their effectiveness via realistic simulations. Under the same framework, we also study conventional identical channel cooperation as the performance benchmark, and propose algorithms to solve the corresponding optimization problems.
Cognitive radio, Cooperative Communication, Resource Allocation, Nash bargaining solutions, OFDMA.
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