Risk-Aware Antenna Selection for Multiuser Massive MIMO under Incomplete CSI

antenna selection; incomplete CSI; machine learning; Massive MIMO; Monte Carlo tree search; risk-aware planning; Antenna selection; Channel-state information; Incomplete channel state information; Machine-learning; Massive multiple-input multiple-out; Monte carlo tree search; Multiple input multiple out; Risk aware; Risk-aware planning; Tree-search; Computer Science Applications; Electrical and Electronic Engineering; Applied Mathematics; Antennas; Channel estimation; Radio frequency; Antenna arrays; Antenna measurements; Transmitting antennas

Abstract :

[en] This paper investigates the antenna selection problem in massive multiple-input multiple-out (MIMO) systems under incomplete channel state information (CSI), with a particular interest on risk-aware planning subjected to practical constraints such as transmit power budgets and quality of services (QoS). Due to a very large number of antennas, obtaining complete channel measurements becomes a cost-prohibitive, energy-inefficient and spectral-inefficient task. To reduce pilot overhead, incomplete CSI and antenna selection (AS) are expected in practical massive MIMO systems. However, most existing AS algorithms heavily rely on the complete CSI, which imposes a high probability of violating the practical constraints in the scenarios of our interests. Motivated by this, we propose a joint channel prediction and antenna selection framework (JCPAS) which efficiently performs AS and is robust against the incomplete CSI and practical constraints. The proposed framework comprises i) a channel tracker which estimates the channel dynamics based on historical incomplete observations, and ii) a risk-aware Monte Carlo tree search (RA-MCTS) algorithm which utilizes the estimated channel dynamics to select antennas in a risk-aware manner. Simulation results show that the proposed RA-MCTS not only achieves much lower energy consumption compared to the existing typical algorithms, but also significantly reduces the probability of violating the practical constraints.

Precision for document type :

Review article

Disciplines :

Electrical & electronics engineering

Author, co-author :

HE, Ke ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

VU, Thang Xuan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Hoang, Dinh Thai ; University of Technology Sydney, School of Electrical and Data Engineering, Faculty of Electrical and Engineering, Sydney, Australia

Nguyen, Diep N. ; University of Technology Sydney, School of Electrical and Data Engineering, Faculty of Electrical and Engineering, Sydney, Australia

CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Ottersten

External co-authors :

yes

Language :

English

Title :

Risk-Aware Antenna Selection for Multiuser Massive MIMO under Incomplete CSI

Publication date :

22 March 2024

Journal title :

IEEE Transactions on Wireless Communications

ISSN :

1536-1276

eISSN :

1558-2248

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Issue :

Pages :

11001 - 11014

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://xplorestaging.ieee.org/ielx7/7693/10678775/10478288.pdf?arnumber=10478288

Funders :

Luxembourg National Research Fund
Australian Research Council under the DECRA project

Funding text :

This work was funded in whole, or in part, by the Luxembourg National Research Fund (FNR), grant references FNR/C19/IS/13718904/ASWELL and FNR/C22/IS/17220888/RUTINE, and in part by the Australian Research Council under the DECRA project DE210100651.

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since 15 November 2024

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