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首页> 外文期刊>Communications, IET >Joint energy-efficient power allocation and subcarrier pairing in orthogonal frequency division multiple-based multi-relay networks
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Joint energy-efficient power allocation and subcarrier pairing in orthogonal frequency division multiple-based multi-relay networks

机译:正交频分多基多中继网络中的联合节能功率分配和子载波配对

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摘要

In this study, a resource allocation scheme for energy-efficient communication in a cooperative orthogonal frequency division multiple (OFDM) network based on subcarrier pairing is proposed. Different from traditional cooperative OFDM networks, in the concerned network, one subcarrier pair can be forwarded by multiple relays, and the source is allowed to retransmit the signals sent in the first phase. The problem aimed at maximising the system energy efficiency (EE) under total power constraint and minimum spectral efficiency constraint is formulated into a mixed-integer nonlinear programming (MINLP) problem, which in general has intractable complexity because of its combinatorial nature. The authors simplify the optimising model as a typical fractional programming problem to solve the complex the MINLP problem. The simplified fractional programming problem is proved to be quasi-concave, thus Dinkelbach's method consisting of outer iterations and inner iterations can be used to find the optimal solution to the proposed MINLP problem.
机译:在这项研究中,提出了一种基于子载波对的协作正交频分多址(OFDM)网络中的节能通信资源分配方案。与传统的协作OFDM网络不同,在相关网络中,一个子载波对可以由多个中继转发,并且允许源重发在第一阶段发送的信号。旨在在总功率约束和最小频谱效率约束下最大化系统能效(EE)的问题被表述为混合整数非线性规划(MINLP)问题,由于其组合性质,该问题通常具有难以解决的复杂性。作者将优化模型简化为典型的分数规划问题,以解决复杂的MINLP问题。简化的分数规划问题被证明是拟凹的,因此可以使用由外部迭代和内部迭代组成的Dinkelbach方法找到所提出的MINLP问题的最优解。

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