A scalable performance-complexity tradeoff for vector precoding by partial perturbation

Christos Masouros; Tharm Ratnarajah; Mathini Sellathurai

doi:10.1109/SPAWC.2015.7227103

A scalable performance-complexity tradeoff for vector precoding by partial perturbation

Christos Masouros, Tharm Ratnarajah, Mathini Sellathurai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

We explore a performance-complexity tradeoff for vector precoding (VP) for the downlink of multi-user multiple input multiple output (MU-MIMO) systems. We introduce this tradeoff by employing a partial perturbation in the vector precoding, where the perturbation optimization is applied to a subset of the transmitted symbols. This greatly reduces complexity compared to conventional VP where the optimization involves all transmit symbols, at the expense of a reduced performance. We show that this tradeoff is scalable by means of the number of users to be perturbed and explore how it can be optimized by changing the size of this subset of users. The presented results show that partially perturbing the data provides a favorable performance-complexity tradeoff compared to conventional VP and increases the power efficiency of VP.

Original language	English
Title of host publication	16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015
Publisher	IEEE
Pages	575-579
Number of pages	5
ISBN (Print)	9781479919307
DOIs	https://doi.org/10.1109/SPAWC.2015.7227103
Publication status	Published - 28 Jun 2015
Event	16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015 - Stockholm, Sweden Duration: 28 Jun 2015 → 1 Jul 2015

Conference

Conference	16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015
Abbreviated title	SPAWC 2015
Country/Territory	Sweden
City	Stockholm
Period	28/06/15 → 1/07/15

Keywords

complexity reduction
multi-user MIMO
power efficiency
Vector perturbation

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications
Information Systems

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10.1109/SPAWC.2015.7227103

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@inproceedings{18c4c09049af4807ab105c8ea7fc2748,

title = "A scalable performance-complexity tradeoff for vector precoding by partial perturbation",

abstract = "We explore a performance-complexity tradeoff for vector precoding (VP) for the downlink of multi-user multiple input multiple output (MU-MIMO) systems. We introduce this tradeoff by employing a partial perturbation in the vector precoding, where the perturbation optimization is applied to a subset of the transmitted symbols. This greatly reduces complexity compared to conventional VP where the optimization involves all transmit symbols, at the expense of a reduced performance. We show that this tradeoff is scalable by means of the number of users to be perturbed and explore how it can be optimized by changing the size of this subset of users. The presented results show that partially perturbing the data provides a favorable performance-complexity tradeoff compared to conventional VP and increases the power efficiency of VP.",

keywords = "complexity reduction, multi-user MIMO, power efficiency, Vector perturbation",

author = "Christos Masouros and Tharm Ratnarajah and Mathini Sellathurai",

year = "2015",

month = jun,

day = "28",

doi = "10.1109/SPAWC.2015.7227103",

language = "English",

isbn = "9781479919307",

pages = "575--579",

booktitle = "16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015",

publisher = "IEEE",

address = "United States",

note = "16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015, SPAWC 2015 ; Conference date: 28-06-2015 Through 01-07-2015",

}

Masouros, C, Ratnarajah, T & Sellathurai, M 2015, A scalable performance-complexity tradeoff for vector precoding by partial perturbation. in 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015., 7227103, IEEE, pp. 575-579, 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015, Stockholm, Sweden, 28/06/15. https://doi.org/10.1109/SPAWC.2015.7227103

TY - GEN

T1 - A scalable performance-complexity tradeoff for vector precoding by partial perturbation

AU - Masouros, Christos

AU - Ratnarajah, Tharm

AU - Sellathurai, Mathini

PY - 2015/6/28

Y1 - 2015/6/28

N2 - We explore a performance-complexity tradeoff for vector precoding (VP) for the downlink of multi-user multiple input multiple output (MU-MIMO) systems. We introduce this tradeoff by employing a partial perturbation in the vector precoding, where the perturbation optimization is applied to a subset of the transmitted symbols. This greatly reduces complexity compared to conventional VP where the optimization involves all transmit symbols, at the expense of a reduced performance. We show that this tradeoff is scalable by means of the number of users to be perturbed and explore how it can be optimized by changing the size of this subset of users. The presented results show that partially perturbing the data provides a favorable performance-complexity tradeoff compared to conventional VP and increases the power efficiency of VP.

AB - We explore a performance-complexity tradeoff for vector precoding (VP) for the downlink of multi-user multiple input multiple output (MU-MIMO) systems. We introduce this tradeoff by employing a partial perturbation in the vector precoding, where the perturbation optimization is applied to a subset of the transmitted symbols. This greatly reduces complexity compared to conventional VP where the optimization involves all transmit symbols, at the expense of a reduced performance. We show that this tradeoff is scalable by means of the number of users to be perturbed and explore how it can be optimized by changing the size of this subset of users. The presented results show that partially perturbing the data provides a favorable performance-complexity tradeoff compared to conventional VP and increases the power efficiency of VP.

KW - complexity reduction

KW - multi-user MIMO

KW - power efficiency

KW - Vector perturbation

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U2 - 10.1109/SPAWC.2015.7227103

DO - 10.1109/SPAWC.2015.7227103

M3 - Conference contribution

AN - SCOPUS:84953407373

SN - 9781479919307

SP - 575

EP - 579

BT - 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015

PB - IEEE

T2 - 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015

Y2 - 28 June 2015 through 1 July 2015

ER -

A scalable performance-complexity tradeoff for vector precoding by partial perturbation

Abstract

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Keywords

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