Hybrid ARQ for modulo loss reduction in multi-user MIMO THP systems

Shoya Takebuchi, Hiromichi Tomeba, Takashi Onodera, Minoru Kubota, Fumiaki Maehara, Fumio Takahata

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

1 Citation (Scopus)

Abstract

Multi-user MIMO (MU-MIMO) using Tomlinson-Harashima precoding (THP) has great potential to achieve high system capacity in wireless systems. On the other hand, hybrid ARQ (HARQ) is essential to realize the reliable wireless packet transmission and therefore, the combination of THP with HARQ can be seen as a promising approach to achieve reliable high-capacity wireless transmissions. However, this combination has a problem of severe performance degradation due to the accumulation of modulo loss which is the inherent drawback of THP. In this paper, we propose the HARQ scheme to cancel the accumulation of modulo loss in Multi-user MIMO THP systems. The main feature of the proposed approach is to add the same perturbation vector as the initial transmit packet to the retransmit packets in order to prevent the accumulation of modulo loss. The effectiveness of the proposed scheme is demonstrated in comparison with the conventional packet combining scheme by means of computer simulations.

Original languageEnglish
Title of host publicationISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems
Pages375-380
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013 - Naha, Okinawa, Japan
Duration: 2013 Nov 122013 Nov 15

Publication series

NameISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems

Conference

Conference2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013
Country/TerritoryJapan
CityNaha, Okinawa
Period13/11/1213/11/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

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