A novel parallel detection architecture for modular MIMO receivers

Zouheir Rezki*, François Gagnon, Jean Belzile

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Recent advances in information theory have shown that given the right propagation environment, arbitrarily large channel capacity can be obtained, if a configuration of multi-element antennas array at both the transmitter and the receiver is used. In such schema, parallel detection is advantageous since it is faster than sequential detection, it does not require power ordering at the receiver and it reduces the system latency. Previous work has proposed a parallel detector (PD) based on successive symbols approximations. The parallel detectors found in literature suffer from high computation complexity. So, in the first part of this paper we propose a Modified Parallel Detection (MPD) algorithm that reduces considerably the system computation complexity. The proposed algorithm can be realized using a parallel modular architecture, which consists on a set of elementary sub-detectors. The data flow between the sub-detectors is significantly reduced. The MPD also allows performance improvements when it is used as a refinement to the sequential Vertical Bell Labs Layered Space-Time (V-BLAST). However, both PD and MPD algorithms do not generally perform as well as sequential V-BLAST. Thus, in the second part of this paper, we suggest another parallel detection architecture. This later is based on a Minimum Mean Square Error (MMSE) criteria in its first stage and on weighed parallel interference cancellation in its second stage. Simulation results show that our parallel detector performs better than sequential V-BLAST for the same order of complexity.

Original languageEnglish (US)
Pages (from-to)1155-1158
Number of pages4
JournalCanadian Conference on Electrical and Computer Engineering
Volume2
StatePublished - 2004
Externally publishedYes

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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