Energy-Efficient Bit Allocation for Resolution-Adaptive ADC in Multiuser Large-Scale MIMO Systems: Global Optimality

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Title: Energy-Efficient Bit Allocation for Resolution-Adaptive ADC in Multiuser Large-Scale MIMO Systems: Global Optimality
Authors: Nguyen, Kien-GiangVu, Quang-DoanhTran, Le-NamJuntti, Markku
Permanent link: http://hdl.handle.net/10197/11914
Date: 8-May-2020
Online since: 2021-02-01T18:13:48Z
Abstract: We consider uplink multiuser wireless communications systems, where the base station (BS) receiver is equipped with a large-scale antenna array and resolution adaptive analog-to-digital converters (ADCs). The aim is to maximize the energy efficiency (EE) at the BS subject to constraints on the users' quality-of-service. The approach is to jointly optimize both the number of quantization bits at the ADCs and the on/off modes of the radio frequency (RF) processing chains. The considered problem is a discrete nonlinear program, the optimal solution of which is difficult to find. We develop an efficient algorithm based on the discrete branch-reduce-and-bound (DBRnB) framework. It finds the globally optimal solutions to the problem. In particular, we make some modifications, which significantly improve the convergence performance. The numerical results demonstrate that optimizing jointly the number of quantization bits and on/off mode can achieve remarkable EE gains compared to only optimizing the number of quantization bits.
Funding Details: Science Foundation Ireland
University College Dublin
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2020 IEEE
Keywords: Wireless communicationsResolution-adaptive ADCLarge-scale antenna systemsEnergy efficiencyDiscrete branch-reduce-and-bound
DOI: 10.1109/ICASSP40776.2020.9052945
Language: en
Status of Item: Peer reviewed
Is part of: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Conference Details: The 45th International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, 4-8 May 2020
ISBN: 9781509066315
ISSN: 1520-6149
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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