Hybrid pre-coding based on minimum SMSE considering insertion loss in mmWave communications

Guo, Ji-Chong, Yu, Qi-Yue, Sun, Wen-Bin, Meng, Wei-Xiao, and Xiang, Wei (2019) Hybrid pre-coding based on minimum SMSE considering insertion loss in mmWave communications. IEEE Transactions on Communications, 67 (12). pp. 8707-8724.

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Abstract

Hybrid pre-coding design is a promising research direction in large antenna array millimeter wave (mmWave) systems. The insertion loss is an inherent and significant feature of hybrid pre-coding, resulting in lower energy efficiency and inferior bit error rate (BER) performance. This paper takes the minimum sum-mean-square-error (Min-SMSE) considering the insertion loss as the optimization objective function, which aims at increasing the sum-rate and improving the BER performance. Then a hybrid pre-coding is designed based on this criterion with an adaptive overlapped subarray (OSA) architecture. It is proved that the optimization problem is non-convex. Thus, we decompose the optimization problem into two sub-optimum ones. One is to design the digital pre-coding based on the Min-SMSE criterion under the equivalent channel condition. The other one is to design the analog pre-coding based on the simplified Min-SMSE with the insertion loss objective function. Theoretical analyses of the proposed scheme are conducted, including the upper bound of the average BER, the lower bound of the average sum-rate, and the computational complexity. Simulation results show that our proposed scheme outperforms three representative hybrid pre-coding schemes with different architectures in both BER and sum-rate, when the numbers of the phase shifters and combiners are relatively small.

Item ID: 61651
Item Type: Article (Research - C1)
ISSN: 1558-0857
Keywords: hybrid pre-coding, large antenna arrays, mmWave system, overlapped subarray architecture
Copyright Information: © 2019 IEEE.
Date Deposited: 05 May 2020 21:33
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100510 Wireless Communications @ 100%
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