Energy-efficient resource allocation for multi-pair massive mimo relaying networks with zero-forcing relay precoding

Yi Wang, Shaochuan Yang, Songwei Zhang, Yuhan Wang, Ying Hu, Chunguo Li, Rui Zhao
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Abstract

In this paper, we investigate a MIMO relaying network with massive antennas for serving multi-pair single-antenna user s, where zero-forcing (ZF) precoding is explored at the relay Our aim is to maximize the energy efficiency (EE) by jointly optimizing the transmit power at the source-nodes and the relay, and the number of relay antennas. To solve the EE optimization problem, a lower bound of the involved spectra efficiency (SE) is derived with analytical expression. Since the original fractional optimization problem is non-convex we transform the objective function into an equivalent parametric subtractive form by using the properties of fractional programming. Then, an iterative algorithm is developed relying on the partial convexity of the subtractive cost function where the analytical solutions are deduced. Finally, the effectiveness and convergence behavior of our proposed schemi are verified through the numerical results.
具有强制零中继预编码的多对大规模mimo中继网络的节能资源分配
本文研究了一种用于多对单天线用户服务的多天线MIMO中继网络,探讨了中继上的零强制(zero-forcing, ZF)预编码,目的是通过共同优化源节点和中继的发射功率以及中继天线的数量来最大化能量效率(energy efficiency, EE)。为了解决EE优化问题,用解析表达式推导了光谱效率(SE)的下界。由于原分式优化问题是非凸的,我们利用分式规划的性质将目标函数转化为等价的参数减法形式。然后,利用减法代价函数的部分凸性,提出了一种迭代算法,推导出了该算法的解析解。最后,通过数值结果验证了所提方案的有效性和收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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