Power allocation for multipair massive MIMO FD relay systems with low resolution ADCs

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • University of Sheffield

Abstract

To reduce energy consumption, relay stations with massive antenna arrays can be equipped with low resolution analog-to-digital converters (ADCs). Due to powerful loop interference in full-duplex (FD) relaying, however, low resolution ADCs generate strong quantization noise that has severe impact on the throughput of the system. In this paper, the throughput and energy efficiency of a FD decode-and-forward relay system with low resolution ADCs is investigated. Based on the mathematical analysis, a novel iterative power allocation scheme that mitigates the impact of the quantization noise via reducing the received LI power is proposed. The power allocation scheme aims at maximizing the end-to-end achievable rate by adjusting the per-link transmit powers at the relay. The numerical results show that compared to half-duplex relaying, using FD with the proposed power allocation scheme improves the system throughput and energy efficiency significantly.

Details

Original languageEnglish
Title of host publicationISWCS 2019 - 16th International Symposium on Wireless Communication Systems
Publication statusPublished - 1 Aug 2019
MoE publication typeA4 Article in a conference publication
EventInternational Symposium on Wireless Communication Systems - Oulu, Finland
Duration: 27 Aug 201930 Aug 2019
Conference number: 16

Publication series

NameInternational Symposium on Wireless Communication Systems
ISSN (Print)2154-0217
ISSN (Electronic)2154-0225

Conference

ConferenceInternational Symposium on Wireless Communication Systems
Abbreviated titleISWCS
CountryFinland
CityOulu
Period27/08/201930/08/2019

    Research areas

  • Decode-and-forward, Energy efficiency, Finite code word length, Full-duplex relaying, Low resolution ADCs, Massive MIMO, Power allocation

ID: 38768057