University of Surrey

Test tubes in the lab Research in the ATI Dance Research

On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO

Bashar, Manijeh, Cumanan, Kanapathippillai, Burr, Alister G., Ngo, Hien Quoc, Larsson, Erik G. and Xiao, Pei (2019) On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO In: 2019 IEEE International Conference on Communications (ICC): Green Communication Systems and Networks Symposium, 20-24 May 2019, Shanghai, China.

[img]
Preview
Text
On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO.pdf - Accepted version Manuscript

Download (432kB) | Preview

Abstract

We investigate the energy efficiency performance of cell-free Massive multiple-input multiple-output (MIMO), where the access points (APs) are connected to a central processing unit (CPU) via limited-capacity links. Thanks to the distributed maximum ratio combining (MRC) weighting at the APs, we propose that only the quantized version of the weighted signals are sent back to the CPU. Considering the effects of channel estimation errors and using the Bussgang theorem to model the quantization errors, an energy efficiency maximization problem is formulated with per-user power and backhaul capacity constraints as well as with throughput requirement constraints. To handle this non-convex optimization problem, we decompose the original problem into two sub-problems and exploit a successive convex approximation (SCA) to solve original energy efficiency maximization problem. Numerical results confirm the superiority of the proposed optimization scheme.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Bashar, Manijehm.bashar@surrey.ac.uk
Cumanan, Kanapathippillai
Burr, Alister G.
Ngo, Hien Quoc
Larsson, Erik G.
Xiao, PeiP.Xiao@surrey.ac.uk
Date : 2019
Copyright Disclaimer : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Related URLs :
Depositing User : Clive Harris
Date Deposited : 10 Apr 2019 07:19
Last Modified : 19 May 2019 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/851037

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800