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Location-Aware Communication for RIS-Aided Distributed MIMO Systems

delete2024-01-01
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PRE
AI
Z
Ziang Yang
H
Hongliang Zhang *
B
Boya Di
X
Xiang Li
X
Xiaolin Hou
宋
宋令阳 (Lingyang Song) *
DOI:10.1109/TVT.2024.3494880delete
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摘要

摘要

En 中文
In reconfigurable intelligent surface (RIS)-aided distributed multiple-input multiple-output (D-MIMO) systems, instantaneous channel state information (CSI) is essential for the optimization of the RIS phase shifts. However, the D-MIMO systems often involve numerous RISs and access points (APs), requiring the transmission of a significant amount of pilots for CSI estimation, thus resulting in high signaling overhead. To mitigate the high signaling overhead associated with CSI estimation, this paper introduces a location-aware communication method that only relies on large-scale fading information. Two new challenges have arisen in the proposed location-aware communication method. First, it is challenging to design a user position estimation method to achieve fast and accurate localization. Second, it is hard to handle the location uncertainty brought by the estimation error when performing beamforming. In response to the above challenges, we first design a space-time cooperative beam training-based localization method to achieve a favorable trade-off between localization accuracy and time cost. Subsequently, to handle the location uncertainty, by taking historical error distribution into consideration, we formulate a distributionally robust optimization (DRO)-based problem for sum-rate maximization. Numerical evaluations demonstrate the effectiveness of our proposed localization method, which can achieve sub-meter accuracy with low beam training overhead. Furthermore, the proposed DRO-based beamforming method can improve the sum-rate by 11.4% compared to the robust optimization and non-robust schemes.
Keyword:
Location awareness
Training
Optimization
Array signal processing
Accuracy
Wireless communication
Reconfigurable intelligent surfaces
MIMO communication
Uncertainty
Fingerprint recognition
Reconfigurable intelligent surface (RIS)
distributed MIMO
wireless localization
distributionally robust optimization (DRO)

期刊

IEEE Transactions on Vehicular Technology 封面图
IEEE Transactions on Vehicular Technology
IF:
7.1
论文数:
1.8W
被引数:
6.6W

机构

N
ntt docomo
学者数:
238
论文数: 175
被引数: 0
P
peking university
学者数:
11.9W
论文数: 8.7W
被引数: 146
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