Achievable diversity gain of K-user interference channel

S. H. Song, X. Chen, Khaled Letaief

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Interference alignment (IA) is a powerful technique to handle interference between links that share the same wireless channel. It has been shown that IA can asymptotically help each link to achieve half of the degrees of freedom (DoF). This result solves one endpoint of the optimal diversity and multiplexing tradeoff (DMT) for interference channels, namely, the maximum multiplexing gain. In this paper, we shall focus on the other endpoint to investigate the maximum diversity gain. For an interference channel with K links where each link has a channel freedom (independent channels) of L, zero-forcing algorithm can achieve a diversity gain of L-K +1 for each link and a sum diversity gain of K(L - K + 1) for the whole network. The question we want to answer is whether interference alignment can provide a higher diversity gain, which will help determine the optimal DMT of interference channels. It will be shown that IA can increase the sum diversity gain by K - 1, where at most K - 2 of them can be utilized by one link.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Communications, ICC 2012
Pages4197-4201
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Communications, ICC 2012 - Ottawa, ON, Canada
Duration: 10 Jun 201215 Jun 2012

Other

Other2012 IEEE International Conference on Communications, ICC 2012
CountryCanada
CityOttawa, ON
Period10/6/1215/6/12

Fingerprint

Multiplexing
Telecommunication links

Keywords

  • DMT
  • Interference alignment
  • zero forcing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Song, S. H., Chen, X., & Letaief, K. (2012). Achievable diversity gain of K-user interference channel. In 2012 IEEE International Conference on Communications, ICC 2012 (pp. 4197-4201). [6364278] https://doi.org/10.1109/ICC.2012.6364278

Achievable diversity gain of K-user interference channel. / Song, S. H.; Chen, X.; Letaief, Khaled.

2012 IEEE International Conference on Communications, ICC 2012. 2012. p. 4197-4201 6364278.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Song, SH, Chen, X & Letaief, K 2012, Achievable diversity gain of K-user interference channel. in 2012 IEEE International Conference on Communications, ICC 2012., 6364278, pp. 4197-4201, 2012 IEEE International Conference on Communications, ICC 2012, Ottawa, ON, Canada, 10/6/12. https://doi.org/10.1109/ICC.2012.6364278
Song SH, Chen X, Letaief K. Achievable diversity gain of K-user interference channel. In 2012 IEEE International Conference on Communications, ICC 2012. 2012. p. 4197-4201. 6364278 https://doi.org/10.1109/ICC.2012.6364278
Song, S. H. ; Chen, X. ; Letaief, Khaled. / Achievable diversity gain of K-user interference channel. 2012 IEEE International Conference on Communications, ICC 2012. 2012. pp. 4197-4201
@inproceedings{d2686faa697044918ee55c4be8a73845,
title = "Achievable diversity gain of K-user interference channel",
abstract = "Interference alignment (IA) is a powerful technique to handle interference between links that share the same wireless channel. It has been shown that IA can asymptotically help each link to achieve half of the degrees of freedom (DoF). This result solves one endpoint of the optimal diversity and multiplexing tradeoff (DMT) for interference channels, namely, the maximum multiplexing gain. In this paper, we shall focus on the other endpoint to investigate the maximum diversity gain. For an interference channel with K links where each link has a channel freedom (independent channels) of L, zero-forcing algorithm can achieve a diversity gain of L-K +1 for each link and a sum diversity gain of K(L - K + 1) for the whole network. The question we want to answer is whether interference alignment can provide a higher diversity gain, which will help determine the optimal DMT of interference channels. It will be shown that IA can increase the sum diversity gain by K - 1, where at most K - 2 of them can be utilized by one link.",
keywords = "DMT, Interference alignment, zero forcing",
author = "Song, {S. H.} and X. Chen and Khaled Letaief",
year = "2012",
doi = "10.1109/ICC.2012.6364278",
language = "English",
isbn = "9781457720529",
pages = "4197--4201",
booktitle = "2012 IEEE International Conference on Communications, ICC 2012",

}

TY - GEN

T1 - Achievable diversity gain of K-user interference channel

AU - Song, S. H.

AU - Chen, X.

AU - Letaief, Khaled

PY - 2012

Y1 - 2012

N2 - Interference alignment (IA) is a powerful technique to handle interference between links that share the same wireless channel. It has been shown that IA can asymptotically help each link to achieve half of the degrees of freedom (DoF). This result solves one endpoint of the optimal diversity and multiplexing tradeoff (DMT) for interference channels, namely, the maximum multiplexing gain. In this paper, we shall focus on the other endpoint to investigate the maximum diversity gain. For an interference channel with K links where each link has a channel freedom (independent channels) of L, zero-forcing algorithm can achieve a diversity gain of L-K +1 for each link and a sum diversity gain of K(L - K + 1) for the whole network. The question we want to answer is whether interference alignment can provide a higher diversity gain, which will help determine the optimal DMT of interference channels. It will be shown that IA can increase the sum diversity gain by K - 1, where at most K - 2 of them can be utilized by one link.

AB - Interference alignment (IA) is a powerful technique to handle interference between links that share the same wireless channel. It has been shown that IA can asymptotically help each link to achieve half of the degrees of freedom (DoF). This result solves one endpoint of the optimal diversity and multiplexing tradeoff (DMT) for interference channels, namely, the maximum multiplexing gain. In this paper, we shall focus on the other endpoint to investigate the maximum diversity gain. For an interference channel with K links where each link has a channel freedom (independent channels) of L, zero-forcing algorithm can achieve a diversity gain of L-K +1 for each link and a sum diversity gain of K(L - K + 1) for the whole network. The question we want to answer is whether interference alignment can provide a higher diversity gain, which will help determine the optimal DMT of interference channels. It will be shown that IA can increase the sum diversity gain by K - 1, where at most K - 2 of them can be utilized by one link.

KW - DMT

KW - Interference alignment

KW - zero forcing

UR - http://www.scopus.com/inward/record.url?scp=84871975883&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84871975883&partnerID=8YFLogxK

U2 - 10.1109/ICC.2012.6364278

DO - 10.1109/ICC.2012.6364278

M3 - Conference contribution

SN - 9781457720529

SP - 4197

EP - 4201

BT - 2012 IEEE International Conference on Communications, ICC 2012

ER -