Detecting Abrupt Change in Channel Covariance Matrix for MIMO Communication

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Liu, RunnanShanghai Jiao Tong Univ, Peoples R China (författare)

Detecting Abrupt Change in Channel Covariance Matrix for MIMO Communication

Artikel/kapitelEngelska2023

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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,2023
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LIBRIS-ID:oai:DiVA.org:liu-200288
https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-200288URI
https://doi.org/10.1109/TWC.2023.3256423DOI

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Språk:engelska
Sammanfattning på:engelska

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Funding Agencies|National Natural Science Foundation of China Program [62271316]; National Key Research and Development Project of China [2019YFB1802703]; Fundamental Research Funds for the Central Universities; Shanghai Key Laboratory of Digital Media Processing [18DZ2270700]; Research Grants Council, Hong Kong, SAR, China [25215020]; ELLIIT; KAW Foundation
The acquisition of the channel covariance matrix is of paramount importance to many strategies in multiple-input-multiple-output (MIMO) communications, such as the minimum mean-square error (MMSE) channel estimation. Therefore, plenty of efficient channel covariance matrix estimation schemes have been proposed in the literature. However, an abrupt change in the channel covariance matrix may happen occasionally in practice due to the change in the scattering environment and the user location. Our paper aims to adopt the classic change detection theory to detect the change in the channel covariance matrix as accurately and quickly as possible such that the new covariance matrix can be re-estimated in time. Specifically, this paper first considers the technique of on-line change detection (also known as quickest/sequential change detection), where we need to detect whether a change in the channel covariance matrix occurs at each channel coherence time interval. Next, because the complexity of detecting the change in a high-dimension covariance matrix at each coherence time interval is too high, we devise a low-complexity off-line strategy in massive MIMO systems, where change detection is merely performed at the last channel coherence time interval of a given time period. Numerical results show that our proposed on-line and off-line schemes can detect the channel covariance change with a small delay and a low false alarm rate. Therefore, our paper theoretically and numerically verifies the feasibility of detecting the channel covariance change accurately and quickly in practice.

Ämnesord och genrebeteckningar

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Signalbehandling hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing hsv//eng
Multiple-input multiple-output (MIMO); change detection; quickest (sequential) change detection; off-line change detection

Biuppslag (personer, institutioner, konferenser, titlar ...)

Liu, LiangHong Kong Polytech Univ, Peoples R China (författare)
He, DazhiShanghai Jiao Tong Univ, Peoples R China (författare)
Zhang, WenjunShanghai Jiao Tong Univ, Peoples R China (författare)
Larsson, Erik GLinköpings universitet,Kommunikationssystem,Tekniska fakulteten(Swepub:liu)erila39 (författare)
Shanghai Jiao Tong Univ, Peoples R ChinaHong Kong Polytech Univ, Peoples R China (creator_code:org_t)

Sammanhörande titlar

Ingår i:IEEE Transactions on Wireless Communications: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC22:11, s. 7834-78471536-12761558-2248

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Av författaren/redakt...: Liu, Runnan; Liu, Liang; He, Dazhi; Zhang, Wenjun; Larsson, Erik G

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TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Signalbehandling

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Av lärosätet: Linköpings universitet

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