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Optimal resource allocation for opportunistic spectrum access in multiple-input multiple-output??orthogonal frequency division multiplexing based cooperative cognitive radio networks

机译:基于多输入多输出正交频分复用的协作认知无线电网络中机会频谱接入的最优资源分配

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摘要

In this study, the problem of resource allocation in multiple-input multiple-output??orthogonal frequency division multiplexing-based cooperative cognitive radio networks is considered. The cooperation strategies between the secondary users is the decode-and-forward (DF) strategies. In order to obtain an optimal subcarrier pairing, relay assignment and power allocation in the system, the dual decomposition technique is recruited. The optimal resource allocation is realised under the individual power constraints in source and relays, so that the sum rate is maximised, whereas the interference induced to the primary system is kept below a pre-specified interference temperature limit. Moreover, because of the high computational complexity of the optimal approach, a suboptimal algorithm is further proposed. The joint allocation of the resources in suboptimal algorithm is carried out taking into account the channel qualities, the DF cooperation strategy, the interference induced to the primary system and the individual power budgets. The performance of the different approaches and the impact of the constraint values and deploying multiple antennas at users are discussed through the numerical simulation results.
机译:在这项研究中,考虑了基于多输入多输出正交频分复用的协作认知无线电网络中的资源分配问题。二级用户之间的合作策略是解码转发(DF)策略。为了在系统中获得最佳的子载波配对,中继分配和功率分配,采用了双重分解技术。在源和中继器的各个功率约束下实现了最佳的资源分配,从而使总速率最大化,而对主系统的干扰保持在预定的干扰温度极限以下。此外,由于最优方法的高计算复杂性,进一步提出了次优算法。次优算法中的资源联合分配是在考虑信道质量,DF合作策略,对主系统的干扰以及单个功率预算的情况下进行的。通过数值仿真结果讨论了不同方法的性能以及约束值的影响以及在用户处部署多个天线的问题。

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  • 来源
    《Signal Processing, IET》 |2013年第7期|549-557|共9页
  • 作者

    Adian M.G.; Aghaeinia H.;

  • 作者单位

    Electrical Engineering Department, Amirkabir University of Technology, Tehran Polytechnic, Tehran, Iran|c|;

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  • 正文语种 eng
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