Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks
Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks
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DOI：
10.14445/23488387/ijcse-v3i2p102
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发表时间：
2016-02
期刊：
影响因子：
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通讯作者：
S. Jagadeesan;R. Vidya
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文献类型：
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作者：
S. Jagadeesan;R. Vidya
研究了基于OFDMA的协作认知无线电网络中的资源分配问题，其中次用户为主用户中继数据以获得频谱接入。针对用户和信道的多样性，本文首先提出了一种新的灵活的信道协作方案FLEC。它允许次要用户自由地优化使用信道来传输主要数据沿着他们自己的数据，以最大限度地提高性能。此外，我们还基于纳什讨价还价解决方案制定了一个统一的优化框架，以便在分散和集中的环境中在主网络和辅助网络之间公平有效地分配资源。我们提出了一个最优的分布式算法和一个次优的集中式启发式，并通过现实的模拟验证其有效性。在同一框架下，我们还研究了传统的同信道合作作为性能基准，并提出了相应的算法来解决相应的优化问题。关键词：认知无线电，协作通信，资源分配，纳什讨价还价解决方案，OFDMA。
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. KEYWORDS—Cognitive radio, Cooperative Communication, Resource Allocation, Nash bargaining solutions, OFDMA.