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Radio resource allocation for orthogonal frequency division multiple access-based underlay cognitive radio networks utilising weighted ergodic rates

机译:利用加权遍历率的正交频分多址基础认知无线电网络的无线电资源分配

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摘要

In this article, radio resource allocation in underlay spectrum sharing based on the orthogonal frequency-division multiple access is studied. A cellular-based secondary service is considered in which the licensed spectrum is opportunistically accessed provided that the imposed interference at the primary service receivers because of secondary service transmissions stays below an interference threshold constraint. The main objective here is to maximise the sum capacity of the secondary service and to find the optimal allocated power, subcarrier and rate across all subcarriers and different secondary users. Three different scenarios are considered based on the availability of the channel state information (CSI) between the secondary service base station and primary receivers. The optimal resource allocation for the case of accurate CSI between the secondary base station and the primary receivers is obtained. To manage more practical situations, in the second considered scenario the authors assume that only the channel distribution information information between the secondary base station and the primary receivers is available at the secondary service base station. In the third scenario the authors further propose a novel algorithm, which controls the collision incidences caused by secondary transmissions owing to lack of CSI in secondary base station. Simulation analyses are also conducted in order to investigate the system performance based on the proposed resource allocation algorithms.
机译:本文研究了基于正交频分多址的底层频谱共享中的无线资源分配。考虑到基于蜂窝的辅助服务,其中机会频谱访问许可频谱,条件是由于辅助服务传输而在主要服务接收器处施加的干扰保持在干扰阈值约束以下。此处的主要目的是最大化辅助服务的总容量,并找到所有子载波和不同辅助用户之间的最佳分配功率,子载波和速率。基于辅助服务基站和主要接收器之间的信道状态信息(CSI)的可用性,考虑了三种不同的方案。获得在辅助基站和主要接收器之间的准确CSI的情况下的最佳资源分配。为了管理更实际的情况,在第二个考虑的场景中,作者假定在辅助服务基站上只有辅助基站和主要接收器之间的信道分布信息信息可用。在第三种情况下,作者进一步提出了一种新颖的算法,该算法可控制由于辅助基站中缺少CSI而由辅助传输引起的冲突发生率。为了进行系统性能分析,还基于所提出的资源分配算法进行了仿真分析。

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