Uplink Performance and Beamforming Design of SIM-enhanced Cell-Free Massive MIMO Systems

In this paper, we explore the integration of low-power, low-cost stacked intelligent metasurfaces (SIM) into cell-free (CF) massive multiple-input multiple-output (mMIMO) systems to enhance access point (AP) capabilities and address high power consumption and cost challenges. Specifically, we investigate the uplink performance of a SIM-enhanced CF mMIMO system. First, the closed-form expressions of the spectral efficiency (SE) are obtained using the unique two-stage signal processing framework of CF mMIMO systems. Second, a wave-based beamforming algorithm for SIM is proposed, based only on statistical channel state information, which effectively reduces the fronthaul costs. The results indicate that increasing the number of SIM layers and meta-atoms leads to significant performance improvements and allows for a reduction in the number of APs and AP antennas. Moreover, the proposed wave-based beamforming algorithm can enhance the SE performance of SIM-enhanced CF-mMIMO systems by 72%, significantly outperforming traditional CF mMIMO systems.

Authors

Institutions

Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/apwcs61586.2024.10679324
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uplink Performance and Beamforming Design of SIM-enhanced Cell-Free Massive MIMO Systems

Enyu Shi, Jiancheng An, Chau Yuen, Bo Ai et al.
2 citations
Advanced MIMO Systems Optimization
0.42
article

Uplink Performance and Beamforming Design of SIM-enhanced Cell-Free Massive MIMO Systems

Enyu Shi, Jiancheng An, Chau Yuen, Bo Ai, Yiyang Zhu, Jiayi Zhang, Ziheng Liu
article en
2 citations

Abstract

In this paper, we explore the integration of low-power, low-cost stacked intelligent metasurfaces (SIM) into cell-free (CF) massive multiple-input multiple-output (mMIMO) systems to enhance access point (AP) capabilities and address high power consumption and cost challenges. Specifically, we investigate the uplink performance of a SIM-enhanced CF mMIMO system. First, the closed-form expressions of the spectral efficiency (SE) are obtained using the unique two-stage signal processing framework of CF mMIMO systems. Second, a wave-based beamforming algorithm for SIM is proposed, based only on statistical channel state information, which effectively reduces the fronthaul costs. The results indicate that increasing the number of SIM layers and meta-atoms leads to significant performance improvements and allows for a reduction in the number of APs and AP antennas. Moreover, the proposed wave-based beamforming algorithm can enhance the SE performance of SIM-enhanced CF-mMIMO systems by 72%, significantly outperforming traditional CF mMIMO systems.

Nanyang Technological University (SG), Beijing Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Advanced MIMO Systems Optimization
0.42
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.

Uplink Performance and Beamforming Design of SIM-enhanced Cell-Free Massive MIMO Systems — Enyu Shi, Jiancheng An, et al. · (2024) | TGRS Research Map | TGRS