University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Energy Efficiency of the Cell-Free Massive MIMO Uplink With Optimal Uniform Quantization

Bashar, Manijeh, Cumanan, Kanapathippillai, Burr, Alister G., Ngo, Hien Quoc, Larsson, Erik G. and Xiao, Pei (2019) Energy Efficiency of the Cell-Free Massive MIMO Uplink With Optimal Uniform Quantization IEEE Transactions on Green Communications and Networking, 3 (4). pp. 971-987.

EE_Final_withoutbio.pdf - Accepted version Manuscript

Download (604kB) | Preview


A cell-free Massive multiple-input multiple-output (MIMO) uplink is considered, where the access points (APs) are connected to a central processing unit (CPU) through limited-capacity wireless microwave links. The quantized version of the weighted signals are available at the CPU, by exploiting the Bussgang decomposition to model the effect of quantization. A closed-form expression for spectral efficiency is derived taking into account the effects of channel estimation error and quantization distortion. The energy efficiency maximization problem is considered with per-user power, backhaul capacity and throughput requirement constraints. To solve this non-convex problem, we decouple the original problem into two sub-problems, namely, receiver filter coefficient design, and power allocation. The receiver filter coefficient design is formulated as a generalized eigenvalue problem whereas a successive convex approximation (SCA) and a heuristic sub-optimal scheme are exploited to convert the power allocation problem into a standard geometric programming (GP) problem. An iterative algorithm is proposed to alternately solve each sub-problem. Complexity analysis and convergence of the proposed schemes are investigated. Numerical results indicate the superiority of the proposed algorithms over the case of equal power allocation.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Cumanan, Kanapathippillai
Burr, Alister G.
Ngo, Hien Quoc
Larsson, Erik G.
Date : December 2019
Funders : H2020-MSCARISE-2015, UK Research and Innovation Future Leaders Fellowships, Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1109/TGCN.2019.2932071
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.
Uncontrolled Keywords : MIMO communication; Uplink; Quantization (signal); Fading channels; Channel estimation; Central Processing Unit; Resource management
Depositing User : Diane Maxfield
Date Deposited : 17 Jan 2020 16:24
Last Modified : 17 Jan 2020 16:24

Actions (login required)

View Item View Item


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