Cell-Free Massive MIMO with Limited Backhaul

Manijeh Bashar; Kanapathippillai Cumanan; Alister G. Burr; Hien Quoc Ngo; Merouane Debbah

doi:10.1109/ICC.2018.8422865

Cell-Free Massive MIMO with Limited Backhaul

Manijeh Bashar, Kanapathippillai Cumanan, Alister G. Burr, Hien Quoc Ngo, Merouane Debbah

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

88 Citations (Scopus)

Abstract

We consider a cell-free Massive multiple-input multiple-output (MIMO) system and investigate the system performance for the case when the quantized version of the estimated channel and the quantized received signal are available at the central processing unit (CPU), and the case when only the quantized version of the combined signal with maximum ratio combining (MRC) detector is available at the CPU. Next, we study the max-min optimization problem, where the minimum user uplink rate is maximized with backhaul capacity constraints. To deal with the max-min non-convex problem, we propose to decompose the original problem into two sub-problems. Based on these sub- problems, we develop an iterative scheme which solves the original max-min user uplink rate. Moreover, we present a user assignment algorithm to further improve the performance of cell-free Massive MIMO with limited backhaul links.

Original language	English
Title of host publication	2018 IEEE International Conference on Communications (ICC 2018): Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	7
Volume	2018-May
ISBN (Print)	9781538631805
DOIs	https://doi.org/10.1109/ICC.2018.8422865
Publication status	Published - 31 Jul 2018
Event	IEEE International Conference on Communications 2018 - Kansas, United States Duration: 20 May 2018 → 24 May 2018 https://doi.org/10.1109/ICC34414.2018

Publication series

Name	IEEE International Conference on Communications (ICC): Proceedings
Publisher	IEEE
ISSN (Electronic)	1938-1883

Conference

Conference	IEEE International Conference on Communications 2018
Abbreviated title	IEEE ICC 2018
Country/Territory	United States
City	Kansas
Period	20/05/2018 → 24/05/2018
Internet address	https://doi.org/10.1109/ICC34414.2018

Keywords

Cell-free Massive MIMO
Generalized eigenvalue problem
Geometric programming
Limited backhaul

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2018.8422865Licence: Unspecified

Cite this

Bashar, M., Cumanan, K., Burr, A. G., Ngo, H. Q., & Debbah, M. (2018). Cell-Free Massive MIMO with Limited Backhaul. In 2018 IEEE International Conference on Communications (ICC 2018): Proceedings (Vol. 2018-May). Article 8422865 (IEEE International Conference on Communications (ICC): Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2018.8422865

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abstract = "We consider a cell-free Massive multiple-input multiple-output (MIMO) system and investigate the system performance for the case when the quantized version of the estimated channel and the quantized received signal are available at the central processing unit (CPU), and the case when only the quantized version of the combined signal with maximum ratio combining (MRC) detector is available at the CPU. Next, we study the max-min optimization problem, where the minimum user uplink rate is maximized with backhaul capacity constraints. To deal with the max-min non-convex problem, we propose to decompose the original problem into two sub-problems. Based on these sub- problems, we develop an iterative scheme which solves the original max-min user uplink rate. Moreover, we present a user assignment algorithm to further improve the performance of cell-free Massive MIMO with limited backhaul links.",

keywords = "Cell-free Massive MIMO, Generalized eigenvalue problem, Geometric programming, Limited backhaul",

author = "Manijeh Bashar and Kanapathippillai Cumanan and Burr, {Alister G.} and Ngo, {Hien Quoc} and Merouane Debbah",

year = "2018",

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Bashar, M, Cumanan, K, Burr, AG, Ngo, HQ & Debbah, M 2018, Cell-Free Massive MIMO with Limited Backhaul. in 2018 IEEE International Conference on Communications (ICC 2018): Proceedings. vol. 2018-May, 8422865, IEEE International Conference on Communications (ICC): Proceedings, Institute of Electrical and Electronics Engineers Inc., IEEE International Conference on Communications 2018, Kansas, Missouri, United States, 20/05/2018. https://doi.org/10.1109/ICC.2018.8422865

Cell-Free Massive MIMO with Limited Backhaul. / Bashar, Manijeh; Cumanan, Kanapathippillai; Burr, Alister G. et al.
2018 IEEE International Conference on Communications (ICC 2018): Proceedings. Vol. 2018-May Institute of Electrical and Electronics Engineers Inc., 2018. 8422865 (IEEE International Conference on Communications (ICC): Proceedings).

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

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N2 - We consider a cell-free Massive multiple-input multiple-output (MIMO) system and investigate the system performance for the case when the quantized version of the estimated channel and the quantized received signal are available at the central processing unit (CPU), and the case when only the quantized version of the combined signal with maximum ratio combining (MRC) detector is available at the CPU. Next, we study the max-min optimization problem, where the minimum user uplink rate is maximized with backhaul capacity constraints. To deal with the max-min non-convex problem, we propose to decompose the original problem into two sub-problems. Based on these sub- problems, we develop an iterative scheme which solves the original max-min user uplink rate. Moreover, we present a user assignment algorithm to further improve the performance of cell-free Massive MIMO with limited backhaul links.

AB - We consider a cell-free Massive multiple-input multiple-output (MIMO) system and investigate the system performance for the case when the quantized version of the estimated channel and the quantized received signal are available at the central processing unit (CPU), and the case when only the quantized version of the combined signal with maximum ratio combining (MRC) detector is available at the CPU. Next, we study the max-min optimization problem, where the minimum user uplink rate is maximized with backhaul capacity constraints. To deal with the max-min non-convex problem, we propose to decompose the original problem into two sub-problems. Based on these sub- problems, we develop an iterative scheme which solves the original max-min user uplink rate. Moreover, we present a user assignment algorithm to further improve the performance of cell-free Massive MIMO with limited backhaul links.

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Cell-Free Massive MIMO with Limited Backhaul

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Keywords

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