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Joint source and relay precoder design for energy-efficient MIMO-cognitive relay networks

机译:节能型MIMO认知中继网络的源和中继预编码器联合设计

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摘要

This study addresses the energy efficiency (EE) maximisation problem in multi-input multi-output cognitive relay networks, where a secondary transmitter-receiver pair communicates through an amplify-and-forward relay using the licenced spectrum of a primary user. The authors aim to maximise the EE of the secondary system by jointly designing the source and relay precoding matrices, subject to transmit power, interference, and quality-of-service constraints. The resultant problem is non-convex in the precoding matrices; it is converted into a much simpler vector-valued problem using singular value decomposition. A combination of iterative optimisation, fractional programming, and Lagrangian multiplier is used to further tackle the problem. Numerical results are presented to evaluate the EE performance of the proposed scheme. Impact of transmit power, interference threshold, and minimum rate requirement on the EE is analysed.
机译:这项研究解决了多输入多输出认知中继网络中的能源效率(EE)最大化问题,在该网络中,辅助发射器-接收器对使用主要用户的许可频谱通过放大转发中继进行通信。作者的目的是通过共同设计源和中继预编码矩阵,以最大程度地提高辅助系统的EE,这要受发射功率,干扰和服务质量约束的影响。由此产生的问题是预编码矩阵中的非凸性。使用奇异值分解将其转换为简单得多的向量值问题。迭代优化,分数规划和拉格朗日乘数相结合可进一步解决该问题。数值结果被提出来评估所提出方案的EE性能。分析了发射功率,干扰阈值和最小速率要求对EE的影响。

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