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Optimal Resource Allocation of Cognitive Radio Systems Based on Spatial Multiuser Access

机译:基于空间多用户访问的认知无线电系统的最优资源分配

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This paper investigates the problem of resource allocation in spatial multiuser access cognitive OFDM (Orthogonal Frequency Division Multiplexing) systems. The objective is to maximize the cognitive users’ weighted rate sum, which is constrained by the licensed users’ (LU) interference temperatures. The spatial multiuser access using singular value decomposition (MU-SVD) model is introduced to the cognitive radio (CR) networks application to provide the multi-antenna gain and the spatial multiple access in frequency subchannels of diverse users. In addition, three schemes based on different receiver structures are used to solve the nonlinear and non convex problem. The results show that using spatial decorrelators can formulate the problem into a convex one and provide impressive throughput of the cognitive system.
机译:本文研究了空间多用户访问认知OFDM(正交频分复用)系统的资源分配问题。目的是最大化认知用户的加权率总和,这受到许可用户(LU)干扰温度的约束。使用奇异值分解(MU-SVD)模型的空间多用户访问被引入认知无线电(CR)网络应用,以提供多天线增益和不同用户频率子信道中的空间多次访问。另外,基于不同接收器结构的三种方案用于解决非线性和非凸面问题。结果表明,使用空间去序器可以将问题分配到凸面上,并提供认知系统的令人印象深刻的吞吐量。

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