Spectral-Energy Efficient Hybrid Precoding for mmWave Systems with an Adaptive-Connected Structure

Spectral-Energy Efficient Hybrid Precoding for mmWave Systems with an Adaptive-Connected Structure
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DOI:
10.1109/icc.2019.8761071
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发表时间:
2019-05
期刊:
ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
影响因子:
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通讯作者:
Xuan Xue;Yongchao Wang;Long Yang;Jia Shi;Zan Li
Xuan Xue;Yongchao Wang;Long Yang;Jia Shi;Zan Li
中科院分区:
其他
文献类型:
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作者:
Xuan Xue;Yongchao Wang;Long Yang;Jia Shi;Zan Li

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本文研究了毫米波系统中的混合预编码设计。为了联合考虑频谱效率和能量消耗,我们提出了一种自适应混合预编码结构,其中在每个天线和每个射频(RF)链之间部署开关控制的连接。为了最大限度地提高这种结构下的频谱和能量效率,开关控制连接和混合预编码矩阵的开关状态的联合优化被配制成一个非凸问题。为了有效地解决这个问题,我们首先提出了一种替代的有限Broyden-Fletcher-Goldfarb-Shanno(L-BFGS)的算法来确定混合预编码器。然后,使用替代L-BFGS算法,提出了一种贪婪算法,以联合优化的混合预编码器和开关控制连接的开关状态。理论证明,这种基于L-BFGS的算法总是收敛于一个稳定点。此外,本文还从理论上证明了所提出的贪婪算法的收敛性,并通过仿真验证了算法的有效性。仿真结果还表明,所提出的混合预编码实现了频谱效率和能量消耗之间的上级折衷。
This paper investigates the hybrid precoding design in millimeter-wave (mmWave) systems. To jointly consider the spectral efficiency and energy consumption, we propose an adaptive hybrid precoding structure, where a switch-controlled connection is deployed between every antenna and every radio frequency (RF) chain. To maximally enhance the spectral-and-energy efficiency under this structure, the joint optimization of the on-off states for switch-controlled connections and the hybrid precoding matrices is formulated as a non-convex problem. To efficiently solve this problem, we first propose an alternative limited Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) based algorithm to determine the hybrid precoders. Then, using the alternative L-BFGS algorithm, a greedy algorithm is proposed to jointly optimize the hybrid precoders and the on-off states of switch-controlled connections. It is theoretically shown that, this alternative L-BFGS based algorithm always converges to a stationary point. Further, the convergence of proposed greedy algorithm is also theoretically proved and validated by simulations. Simulation results also demonstrate that the proposed hybrid precoding achieves a superior tradeoff between the spectral efficiency and energy consumption.