Adaptive single-carrier transmission using QRM-ML block signal detection

Tetsuya Yamamoto, Fumiyuki Adachi

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

Abstract

In this paper, we propose an adaptive single-carrier (SC) transmission suitable for near maximum likelihood (ML) block signal detection using QR decomposition and M-algorithm (QRM-MLBD). QRM-MLBD can significantly improve the bit error rate (BER) performance of SC block transmission. However, in order to achieve a close-to-ML performance, the use of a fairly large number M of surviving paths in the M-algorithm is required and hence its computational complexity is still high. In this paper, to reduce the required number of surviving paths, we introduce an unequal bit loading in an SC transmission block. In QRM-MLBD, the signal-to-noise power ratio (SNR) degrades for symbols to be detected at early stages in the M-algorithm. By noting this fact, we propose to load less number of bits (i.e., lower modulation level) on symbols close to the end of block. We show that the introduction of an unequal bit loading to SC block transmission using QRM-MLBD can achieve almost the same BER performance as the conventional QRM-MLBD while significantly reducing the required number M of surviving path in the M-algorithm.

Original languageEnglish
Title of host publicationICICS 2011 - 8th International Conference on Information, Communications and Signal Processing
DOIs
Publication statusPublished - 2011 Dec 1
Event8th International Conference on Information, Communications and Signal Processing, ICICS 2011 - Singapore, Singapore
Duration: 2011 Dec 132011 Dec 16

Publication series

NameICICS 2011 - 8th International Conference on Information, Communications and Signal Processing

Other

Other8th International Conference on Information, Communications and Signal Processing, ICICS 2011
CountrySingapore
CitySingapore
Period11/12/1311/12/16

Keywords

  • M-algorithm
  • MLD
  • QR decomposition
  • Single-carrier
  • bit loading

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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