eprintid: 1451231
rev_number: 31
eprint_status: archive
userid: 608
dir: disk0/01/45/12/31
datestamp: 2014-10-11 20:51:48
lastmod: 2021-09-26 22:43:04
status_changed: 2014-10-11 20:51:48
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Masouros, C
creators_name: Sellathurai, M
creators_name: Ratnarajah, T
title: Maximizing Energy Efficiency in the Vector Precoded MU-MISO Downlink by Selective Perturbation
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
keywords: Vector perturbation, energy efficiency, complexity reduction, multi-user MIMO, non-linear precoding
note: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
abstract: We propose an energy-efficient vector perturbation (VP) technique for the downlink of multiuser multiple-input-single-output (MU-MISO) systems. In contrast to conventional VP where the search for perturbation vectors involves all users' symbols, here, the perturbation is applied to a subset of the transmitted symbols. This, therefore, introduces a performance-complexity tradeoff, where the complexity is greatly reduced compared to VP by limiting the dimensions of the sphere search, at the expense of a performance penalty compared to VP. By changing the size of the subset of perturbed users, the aforementioned tradeoff can be controlled to maximize energy efficiency. We further propose three distinct criteria for selecting which users' symbols to perturb, each of which yields a different performance-complexity tradeoff. The presented analytical and simulation results show that partially perturbing the data provides a favorable tradeoff, particularly at low-power transmission where the power consumption associated with the signal processing becomes dominant. In fact, it is shown that diversity close to the one for conventional VP can be achieved at energy efficiency levels improved by up to 300% compared to VP.
date: 2014-09
official_url: http://dx.doi.org/Maximizing energy-efficiency in the vector precoded MU-MISO downlink by selective perturbation
vfaculties: VENG
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_source: WoS-Lite
elements_id: 984868
doi: 10.1109/TWC.2014.2329480
lyricists_name: Masouros, Christos
lyricists_id: CMASO14
full_text_status: public
publication: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
volume: 13
number: 9
pagerange: 4974 - 4984
issn: 1536-1276
citation:        Masouros, C;    Sellathurai, M;    Ratnarajah, T;      (2014)    Maximizing Energy Efficiency in the Vector Precoded MU-MISO Downlink by Selective Perturbation.                   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS , 13  (9)   4974 - 4984.    10.1109/TWC.2014.2329480 <https://doi.org/10.1109/TWC.2014.2329480>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1451231/1/06827257.pdf