Link-level performance estimation of ML receiver in MIMO-OFDM systems

Shuang Tian, Dai Jia, Jinhong Yuan, Xingqing Cheng, Lei Wan, Zesong Fei

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

Abstract

Multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) technology is expected to provide theoretical capacity approaching performance if link adaptation techniques are employed. In this paper, we propose a new link-level estimation technique for maximum likelihood detector. The new proposed technique is able to decouple the modulation level and coding rate from each other in the modeling process. Both convolutional codes and Turbo codes are considered in this paper, with various coding rates and modulation schemes. It has been demonstrated through simulation that the proposed model provides satisfactory link performance prediction accuracy for various coding rates and modulation schemes.

Original languageEnglish
Title of host publicationProceedings of the 2015 10th International Conference on Communications and Networking in China, CHINACOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages188-193
Number of pages6
ISBN (Electronic)9781479987955
DOIs
Publication statusPublished - 22 Jun 2016
Event10th International Conference on Communications and Networking in China, CHINACOM 2015 - Shanghai, China
Duration: 15 Aug 201517 Aug 2015

Publication series

NameProceedings of the 2015 10th International Conference on Communications and Networking in China, CHINACOM 2015

Conference

Conference10th International Conference on Communications and Networking in China, CHINACOM 2015
Country/TerritoryChina
CityShanghai
Period15/08/1517/08/15

Keywords

  • L2S
  • MCS
  • MIMO-OFDM
  • ML receiver
  • RBIR

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