Design of Multi-User Constructive Interference Precoding based on Outdated Channel State Information

This paper addresses the challenge of outdated channel state information (CSI) in multi-user wireless communication systems, particularly focusing on effective management of inter-user interference (IUI), by proposing an innovative strategy that combines constructive interference (CI) techniques with mechanisms for handling outdated CSI. With a focus on MPSK modulation scenarios, exemplified by 8-PSK, this study explores how precoding designs can enhance system performance and robustness in multi-user environments. The research outcomes reveal a strong correlation between bit error rate (BER) and channel correlation, emphasizing the significance of leveraging channel correlation for optimizing precoding strategies under non-ideal channel conditions. This work thereby charts a new path for designing efficient and stable wireless communication systems.

Authors

Institutions

Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1145/3718391.3718426
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of Multi-User Constructive Interference Precoding based on Outdated Channel State Information

Wang Min
Advanced Wireless Communication Technologies
article

Design of Multi-User Constructive Interference Precoding based on Outdated Channel State Information

Wang Min
article en

Abstract

This paper addresses the challenge of outdated channel state information (CSI) in multi-user wireless communication systems, particularly focusing on effective management of inter-user interference (IUI), by proposing an innovative strategy that combines constructive interference (CI) techniques with mechanisms for handling outdated CSI. With a focus on MPSK modulation scenarios, exemplified by 8-PSK, this study explores how precoding designs can enhance system performance and robustness in multi-user environments. The research outcomes reveal a strong correlation between bit error rate (BER) and channel correlation, emphasizing the significance of leveraging channel correlation for optimizing precoding strategies under non-ideal channel conditions. This work thereby charts a new path for designing efficient and stable wireless communication systems.

Tibet University (CN)
Openalex Percentile: Top 72%
Advanced Wireless Communication Technologies
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.