Switch-Based Hybrid Analog/Digital Channel Estimation for mmWave Massive MIMO

被引：0
|
作者：
Poulin, Alec [1 ]
Morsali, Alireza [1 ]
Champagne, Benoit [1 ]
机构：
[1] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada
来源：
2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL) | 2020年
基金：
加拿大自然科学与工程研究理事会;
关键词：
Massive MIMO; channel estimation; hybrid architecture; RF switches; genetic algorithm; DESIGN;
D O I：
10.1109/VTC2020-Fall49728.2020.9348809
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses the problem of channel estimation using pilots in hybrid analog/digital massive multipleinput multiple-output (MIMO) systems for future millimetre wave (mmWave) communications. To further reduce system cost and implementation complexity, we consider an alternative architecture derived from RF switches as opposed to the phase shifters in the conventional literature. The channel estimation is formulated as a combinatorial optimization problem where the aim is to minimize the mean square error (MSE) between the real and estimated channels over a finite set of allowed values for the precoder switches. A genetic algorithm (GA) is developed for solving this problem and obtaining the MIMO channel estimates. Simulations show that the proposed scheme can estimate channels as accurately, if not more, as an existing solution using phase shifters.
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页数：6
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