Hybrid channel pre-inversion and interference alignment strategies

David A. Karpuk, Peter Moss

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

1 Citation (Scopus)

Abstract

In this paper we consider strategies for MIMO interference channels which combine the notions of interference alignment and channel pre-inversion. Users collaborate to form data-sharing groups, enabling them to clear interference within a group, while interference alignment is employed to clear interference between groups. To improve the capacity of our schemes at finite SNR, we propose that the groups of users invert their subchannel using a regularized Tikhonov inverse. We provide a new sleeker derivation of the optimal Tikhonov parameter, and use random matrix theory to provide an explicit formula for the SINR as the size of the system increases, which we believe is a new result. For every possible grouping of K = 4 users each with N = 5 antennas, we completely classify the degrees of freedom available to each user when using such hybrid schemes, and construct explicit interference alignment strategies which maximize the sum DoF. Lastly, we provide simulation results which compute the ergodic capacity of such schemes.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communication Workshop, ICCW 2015
PublisherIEEE
Pages2245-2250
Number of pages6
ISBN (Electronic)9781467363051
DOIs
Publication statusPublished - 8 Sept 2015
MoE publication typeA4 Conference publication
EventInternational Conference on Communication Workshop - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Conference

ConferenceInternational Conference on Communication Workshop
Abbreviated titleICCW 2015
Country/TerritoryUnited Kingdom
CityLondon
Period08/06/201512/06/2015

Keywords

  • Channel Pre-Inversion
  • Interference Alignment
  • MIMO Interference Channel
  • Tikhonov Regularization

Fingerprint

Dive into the research topics of 'Hybrid channel pre-inversion and interference alignment strategies'. Together they form a unique fingerprint.

Cite this