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Opportunistic spectrum access for cooperative unlicensed femtocells in two-tier heterogeneous networks utilizing HARQ feedback

机译:利用HARQ反馈在两层异构网络中协作式免授权毫微微小区的机会频谱接入

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The co-channel deployment of femtocells can lead to severe cross-tier interference to macrocell users which is resolved through the use of cognitive radio technology in which the femtocells, acting as unlicensed users, opportunistically access the spectrum of the primary macrocell in a cognitive way. This research proposes a cooperative scheme to improve the spectrum access opportunity for unlicensed ferntocell in a two-tier heterogeneous network by exploiting the hybrid-automatic repeat request (HARQ) feedback information of macrocell transmission assuming the macrocell spectrum is considerably under-utilized. This HARQ based scheme is very useful to get rid of the 'hidden node problem' and 'exposed node problem' encountered in conventional 'listen-before-talk' strategy used by the cognitive users. The outage performance of macrocell user is also improved due to cooperation from the femtocell. Performance analysis of the scheme is presented in Nakagami fading environment for a single femtocell scenario and compared with the conventional non-cooperative spectrum access via numerical examples. Appreciable improvements in terms of macrocell outage, macrocell and femtocell throughput over the conventional non-cooperative spectrum access have been found by considering a fixed macrocell traffic arrival rate. Moreover the dependence of femtocell location on the performance of the proposed scheme is further explored. (C) 2017 Elsevier B.V. All rights reserved.
机译:毫微微小区的同信道部署可能导致对宏小区用户的严重跨层干扰,这可以通过使用认知无线电技术解决,在该技术中,作为未授权用户的毫微微小区以认知方式机会性地访问主要宏小区的频谱。这项研究提出了一种协作方案,通过利用宏小区传输的混合自动重复请求(HARQ)反馈信息(假设宏小区频谱未被充分利用)来提高两层异构网络中无执照的Ferntocell的频谱接入机会。这种基于HARQ的方案对于摆脱认知用户使用的传统“先听后说”策略中遇到的“隐藏节点问题”和“暴露节点问题”非常有用。由于毫微微小区的合作,宏小区用户的中断性能也得到了改善。在Nakagami衰落环境中针对单个毫微微小区场景介绍了该方案的性能分析,并通过数值示例将其与传统的非合作频谱访问进行了比较。通过考虑固定的宏小区业务到达率,已经发现与常规的非合作频谱访问相比,在宏小区中断,宏小区和毫微微小区吞吐量方面有明显的改进。而且,进一步探索了毫微微小区位置对所提出方案的性能的依赖性。 (C)2017 Elsevier B.V.保留所有权利。

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