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Optimal Cooperative Sensing Assignment and Radio Resource Allocations for Cognitive Radio Systems

机译：认知无线电系统的最佳合作感知分配和无线电资源分配

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摘要

This study investigates the joint sensing assignment and resource allocations for Cognitive Radio (CR) systems where multiple Secondary Users (SUs) opportunistically share the channels of Primary System (PS) through cooperative sensing. The key questions concerned here are how to assign different SUs to sense different channels and how to allocate the transmission power and bandwidth for SUs such that the detected idle channels of PS are fully utilized. Specifically, the cooperative spectrum sensing improves the detection accuracy and reduces the potential interference to PS due to mis-detection. However, the cooperative spectrum sensing and the consequent reports of sensing results consume additional energy which should be taken account of in the SU resource allocations. Hence, the coupling effect between the spectrum sensing and the consequent resource allocations is critical for CR to optimize its performance. Based on these considerations, the problem of joint sensing assignment and resource allocations for CR is formulated as a mixed binary nonlinear programming problem and a two-layer procedure is proposed to obtain the optimal solutions. The extensive results show that due to the energy overhead for sensing and reporting, the optimal number of SUs assigned to sense the PU channel does not increase in the idle probability of the channel monotonically. Meanwhile, to maximize the SUs throughput, the consequent optimal transmission power and bandwidth allocations heavily depend on the sensing accuracy determined by the optimal sensing assignment.
机译：这项研究调查了认知无线电（CR）系统的联合感知分配和资源分配，其中多个次要用户（SU）通过合作感知机会性地共享了主要系统（PS）的信道。这里涉及的关键问题是如何分配不同的SU来感知不同的信道，以及如何分配SU的传输功率和带宽，从而充分利用检测到的PS空闲信道。具体地，协作频谱感测提高了检测精度并且减少了由于误检测而导致的对PS的潜在干扰。但是，协作频谱感测和感测结果的后续报告会消耗额外的能量，这应在SU资源分配中予以考虑。因此，频谱感测与后续资源分配之间的耦合效应对于CR优化其性能至关重要。基于这些考虑，将CR的联合感知分配和资源分配问题表述为混合二进制非线性规划问题，并提出了两层程序来获得最优解。广泛的结果表明，由于用于感测和报告的能量开销，分配给感测PU通道的SU的最佳数量不会单调增加通道的空闲概率。同时，为了最大化SU的吞吐量，随之而来的最佳传输功率和带宽分配在很大程度上取决于由最佳感测分配确定的感测精度。

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