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Max-Min Power Control in Downlink Massive MIMO With Distributed Antenna Arrays

Akbar, Noman (författare)
Australian Natl Univ, Res Sch Engn, Canberra, ACT 2600, Australia.
Björnson, Emil, Professor, 1983- (författare)
Linköpings universitet,Kommunikationssystem,Tekniska fakulteten
Yang, Nan (författare)
Australian Natl Univ, Res Sch Engn, Canberra, ACT 2600, Australia.
visa fler...
Larsson, Erik G (författare)
Linköpings universitet,Kommunikationssystem,Tekniska fakulteten
visa färre...
Australian Natl Univ, Res Sch Engn, Canberra, ACT 2600, Australia Kommunikationssystem (creator_code:org_t)
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2021
2021
Engelska.
Ingår i: IEEE Transactions on Communications. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 0090-6778 .- 1558-0857. ; 69:2, s. 740-751
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • In this paper, we investigate optimal downlink power allocation in massive multiple-input multiple-output (MIMO) networks with distributed antenna arrays (DAAs) under correlated and uncorrelated channel fading. In DAA massive MIMO, a base station (BS) consists of multiple antenna sub-arrays. Notably, the antenna sub-arrays are deployed in arbitrary locations within a DAA massive MIMO cell. Consequently, the distance-dependent large-scale propagation coefficients are different from a user to these different antenna sub-arrays, which makes power control a challenging problem. We assume that the network operates in time-division duplex mode, where each BS obtains the channel estimates via uplink pilots. Based on the channel estimates, the BSs perform maximum-ratio transmission in the downlink. We then derive a closed-form signal-to-interference-plus-noise ratio (SINR) expression, where the channels are subject to correlated fading. Based on the SINR expression, we propose a network-wide max-min power control algorithm to ensure that each user in the network receives a uniform quality of service. Numerical results demonstrate the performance advantages offered by DAA massive MIMO. For some specific scenarios, DAA massive MIMO can improve the average per-user throughput up to 55%. Furthermore, we demonstrate that channel fading covariance is an important factor in determining the performance of DAA massive MIMO.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)

Nyckelord

Massive MIMO
Antenna arrays
Power control
Channel estimation
Downlink
Fading channels
Distributed wireless networks
max-min power control
optimization

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