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Simultaneous Downlink Data Transmission and Uplink Channel Estimation\n with Reduced Complexity Full Duplex MIMO Radios

2020/03/14 by Md Atiqul Islam, George C. Alexandropoulos, Islam, Md Atiqul +3
Engineering · #Advanced MIMO Systems Optimization #Antenna Design and Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Full-Duplex Wireless Communications #Information Theory (cs.IT) #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2003.06562

openalex publication_date 2020/03/14 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28

Abstract

In this paper, we study Full Duplex (FD) Multiple-Input Multiple-Output\n(MIMO) radios for simultaneous data communication and control information\nexchange. Capitalizing on a recently proposed FD MIMO architecture combining\ndigital transmit and receive beamforming with reduced complexity multi-tap\nanalog Self-Interference (SI) cancellation, we propose a novel transmission\nscheme exploiting channel reciprocity for joint downlink beamformed information\ndata communication and uplink channel estimation through training data\ntransmission. We adopt a general model for pilot-assisted channel estimation\nand present a unified optimization framework for all involved FD MIMO design\nparameters. Our representative Monte Carlo simulation results for an example\nalgorithmic solution for the beamformers as well as for the analog and digital\nSI cancellation demonstrate that the proposed FD-based joint communication and\ncontrol scheme provides 1.4x the downlink rate of its half duplex counterpart.\nThis performance improvement is achieved with 50% reduction in the hardware\ncomplexity for the analog canceller than conventional FD MIMO architectures\nwith fully connected analog cancellation.\n

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