Paper Info
Title
Switch-Based Hybrid Analog/Digital Channel Estimation For Mmwave Massive Mimo
Abstract
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.
Year
DOI
Venue
2020
10.1109/VTC2020-Fall49728.2020.9348809
2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL)
Keywords
DocType
Citations 
Massive MIMO, channel estimation, hybrid architecture, RF switches, genetic algorithm
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Alec Poulin100.34
Alireza Morsali224.08
Benoît Champagne351067.66