Reflective Sensing Assisted Communication for DAS: Hybrid Beam Alignment and Power Trade-Off

Passive distributed antenna systems (DAS) are widely used for indoor mobile communication quality enhancement and the market space continues to rise. However, in the beamforming process, the passive nature of DAS causes repeated beam scanning and beam correlation issues. This paper proposes an environment-sensing hybrid beamforming method for passive DAS, by which multi-distributed antennas use sensed environment information while considering beam correlation for hybrid beamforming design to improve communication performance. As the initial study, a DAS-oriented method based on compressed sensing for extracting environmental information from superimposed signals is proposed to achieve short-time and high-precision sensing. The flexible design of the hybrid beam transmit path based on the reflected environmental information considering antenna correlation improves the communication rate and bypasses the obstacles. In addition, a dynamic adjustment mechanism for power trade-off between sensing and communication is analyzed to achieve reasonable power allocation, which optimizes the performance of the whole system. Finally, simulation results validate the effectiveness of our proposed method to improve the communication performance while maintaining the sensing accuracy significantly.

Authors

Institutions

Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1109/wcnc61545.2025.10978360
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reflective Sensing Assisted Communication for DAS: Hybrid Beam Alignment and Power Trade-Off

Xiangming Wen, Xinghe Chu, Xiaoyang Zhang, Zhaoming Lu et al.
Power Line Communications and Noise
article

Reflective Sensing Assisted Communication for DAS: Hybrid Beam Alignment and Power Trade-Off

Xiangming Wen, Xinghe Chu, Xiaoyang Zhang, Zhaoming Lu, Meiling Li
article en

Abstract

Passive distributed antenna systems (DAS) are widely used for indoor mobile communication quality enhancement and the market space continues to rise. However, in the beamforming process, the passive nature of DAS causes repeated beam scanning and beam correlation issues. This paper proposes an environment-sensing hybrid beamforming method for passive DAS, by which multi-distributed antennas use sensed environment information while considering beam correlation for hybrid beamforming design to improve communication performance. As the initial study, a DAS-oriented method based on compressed sensing for extracting environmental information from superimposed signals is proposed to achieve short-time and high-precision sensing. The flexible design of the hybrid beam transmit path based on the reflected environmental information considering antenna correlation improves the communication rate and bypasses the obstacles. In addition, a dynamic adjustment mechanism for power trade-off between sensing and communication is analyzed to achieve reasonable power allocation, which optimizes the performance of the whole system. Finally, simulation results validate the effectiveness of our proposed method to improve the communication performance while maintaining the sensing accuracy significantly.

Beijing University of Posts and Telecommunications (CN)
Reduced inequalities
Openalex Percentile: Top 92%
Power Line Communications and Noise
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.

Reflective Sensing Assisted Communication for DAS: Hybrid Beam Alignment and Power Trade-Off — Xiangming Wen, Xinghe Chu, et al. · (2025) | TGRS Research Map | TGRS