Sparse Power Control for Downlink Cell-Free Massive MIMO Systems with Limited Backhaul Capacities

Jionghui Wang; Bin Wang; Jun Fang; Hongbin Li

doi:10.1109/IEEECONF53345.2021.9723238

Sparse Power Control for Downlink Cell-Free Massive MIMO Systems with Limited Backhaul Capacities

Jionghui Wang, Bin Wang, Jun Fang, Hongbin Li

University of Electronic Science and Technology of China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

We consider the problem of max-min power control for downlink cell-free (CF) massive MIMO systems with explicit capacity constraints. Some approximation and optimization techniques are introduced/proposed to convert this challenging problem into an amiable one, which can be efficiently solved via a computationally efficient BCD-ADMM (block coordinate descent-alternating direction method of multipliers) algorithm. The proposed method renders a sparse power control solution with a large percentage of zero power coefficients, and thus can automatically achieve user-centric clustering. Simulation results show that with a reasonably large backhaul capacity, the proposed method can attain a rate which is about 75% of the rate reported in [1] which assumes an infinite backhaul capacity.

Original language	English
Title of host publication	55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Editors	Michael B. Matthews
Pages	1459-1463
Number of pages	5
ISBN (Electronic)	9781665458283
DOIs	https://doi.org/10.1109/IEEECONF53345.2021.9723238
State	Published - 2021
Event	55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 - Virtual, Pacific Grove, United States Duration: 31 Oct 2021 → 3 Nov 2021

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2021-October
ISSN (Print)	1058-6393

Conference

Conference	55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Country/Territory	United States
City	Virtual, Pacific Grove
Period	31/10/21 → 3/11/21

Keywords

Cell-free massive MIMO
backhaul capacity constraint
block coordinate descent
sparse power control

Access to Document

10.1109/IEEECONF53345.2021.9723238

Cite this

Wang, J., Wang, B., Fang, J., & Li, H. (2021). Sparse Power Control for Downlink Cell-Free Massive MIMO Systems with Limited Backhaul Capacities. In M. B. Matthews (Ed.), 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 (pp. 1459-1463). (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2021-October). https://doi.org/10.1109/IEEECONF53345.2021.9723238

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title = "Sparse Power Control for Downlink Cell-Free Massive MIMO Systems with Limited Backhaul Capacities",

abstract = "We consider the problem of max-min power control for downlink cell-free (CF) massive MIMO systems with explicit capacity constraints. Some approximation and optimization techniques are introduced/proposed to convert this challenging problem into an amiable one, which can be efficiently solved via a computationally efficient BCD-ADMM (block coordinate descent-alternating direction method of multipliers) algorithm. The proposed method renders a sparse power control solution with a large percentage of zero power coefficients, and thus can automatically achieve user-centric clustering. Simulation results show that with a reasonably large backhaul capacity, the proposed method can attain a rate which is about 75% of the rate reported in [1] which assumes an infinite backhaul capacity.",

keywords = "Cell-free massive MIMO, backhaul capacity constraint, block coordinate descent, sparse power control",

author = "Jionghui Wang and Bin Wang and Jun Fang and Hongbin Li",

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year = "2021",

doi = "10.1109/IEEECONF53345.2021.9723238",

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Wang, J, Wang, B, Fang, J & Li, H 2021, Sparse Power Control for Downlink Cell-Free Massive MIMO Systems with Limited Backhaul Capacities. in MB Matthews (ed.), 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2021-October, pp. 1459-1463, 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021, Virtual, Pacific Grove, United States, 31/10/21. https://doi.org/10.1109/IEEECONF53345.2021.9723238

Sparse Power Control for Downlink Cell-Free Massive MIMO Systems with Limited Backhaul Capacities. / Wang, Jionghui; Wang, Bin; Fang, Jun et al.
55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. ed. / Michael B. Matthews. 2021. p. 1459-1463 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2021-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - We consider the problem of max-min power control for downlink cell-free (CF) massive MIMO systems with explicit capacity constraints. Some approximation and optimization techniques are introduced/proposed to convert this challenging problem into an amiable one, which can be efficiently solved via a computationally efficient BCD-ADMM (block coordinate descent-alternating direction method of multipliers) algorithm. The proposed method renders a sparse power control solution with a large percentage of zero power coefficients, and thus can automatically achieve user-centric clustering. Simulation results show that with a reasonably large backhaul capacity, the proposed method can attain a rate which is about 75% of the rate reported in [1] which assumes an infinite backhaul capacity.

AB - We consider the problem of max-min power control for downlink cell-free (CF) massive MIMO systems with explicit capacity constraints. Some approximation and optimization techniques are introduced/proposed to convert this challenging problem into an amiable one, which can be efficiently solved via a computationally efficient BCD-ADMM (block coordinate descent-alternating direction method of multipliers) algorithm. The proposed method renders a sparse power control solution with a large percentage of zero power coefficients, and thus can automatically achieve user-centric clustering. Simulation results show that with a reasonably large backhaul capacity, the proposed method can attain a rate which is about 75% of the rate reported in [1] which assumes an infinite backhaul capacity.

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Sparse Power Control for Downlink Cell-Free Massive MIMO Systems with Limited Backhaul Capacities

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