FD MU-MIMO Systems: Performance Analysis in the Presence of Imperfect CSI and Non-Ideal Transceivers

This work outlines a framework for full-duplex (FD) multiple-input multiple-output (MIMO) communication systems considering practical conditions, such as imperfect channel state information (CSI) and hardware impairments (HWIs). We analyze the performance of FD multi-user (MU) MIMO systems, specifically studying the effects of practical channel estimation errors and HWIs on the spectral efficiency (SE) performance of FD MU-MIMO systems. Maximum ratio combining/maximum ratio transmission (MRC/MRT) and zero-forcing reception/zero-forcing transmission (ZFR/ZFT) linear detectors/precoders are considered at the base station (BS). Moreover, linear minimum mean square error (LMMSE) and least square (LS) error estimation are used to estimate the channel at the BS. Mathematical derivations for the lower bounds of uplink (UL) and downlink (DL) SEs are presented in the context of imperfect CSI and HWIs. Computer simulations validate the analytical derivations. The results demonstrate the tightness of the obtained bounds.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2024-09-17
DOI
https://doi.org/10.1109/tmc.2024.3462721
Citations
3
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FD MU-MIMO Systems: Performance Analysis in the Presence of Imperfect CSI and Non-Ideal Transceivers

Emad Saleh, Malek Alsmadi, Salama Ikki
3 citations
IEEE Transactions on Mobile Computing
Advanced MIMO Systems Optimization
0.63
article

FD MU-MIMO Systems: Performance Analysis in the Presence of Imperfect CSI and Non-Ideal Transceivers

Emad Saleh, Malek Alsmadi, Salama Ikki
article en
3 citations

Abstract

This work outlines a framework for full-duplex (FD) multiple-input multiple-output (MIMO) communication systems considering practical conditions, such as imperfect channel state information (CSI) and hardware impairments (HWIs). We analyze the performance of FD multi-user (MU) MIMO systems, specifically studying the effects of practical channel estimation errors and HWIs on the spectral efficiency (SE) performance of FD MU-MIMO systems. Maximum ratio combining/maximum ratio transmission (MRC/MRT) and zero-forcing reception/zero-forcing transmission (ZFR/ZFT) linear detectors/precoders are considered at the base station (BS). Moreover, linear minimum mean square error (LMMSE) and least square (LS) error estimation are used to estimate the channel at the BS. Mathematical derivations for the lower bounds of uplink (UL) and downlink (DL) SEs are presented in the context of imperfect CSI and HWIs. Computer simulations validate the analytical derivations. The results demonstrate the tightness of the obtained bounds.

IEEE Transactions on Mobile ComputingVol. 24(1)
Western University (CA), Confederation College (CA), Lakehead University (CA)
Openalex Percentile: Top 31%
Advanced MIMO Systems Optimization
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

FD MU-MIMO Systems: Performance Analysis in the Presence of Imperfect CSI and Non-Ideal Transceivers — Emad Saleh, Malek Alsmadi, et al. · IEEE Transactions on Mobile Computing (2024) | TGRS Research Map | TGRS