Delay minimization by optimizing antenna allocation in SIMO system

Tao Huang, Baoliu Ye, Song Guo, Sanglu Lu, Toshiaki Miyazaki

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, we investigate the minimization problem of average delay of multi-antenna AP based SIMO (single-input and multiple-output) system by optimizing the antenna allocation. We first obtain the upper bound of transmission bandwidth by deriving the expected error probability of coherent detection for SIMO under Rayleigh fading, and then develop the expression of average delay of terminals sharing the same channel via contention by applying CTMC (continuous-time Markov chains). Upon the above results, we formulate the optimization of antenna allocation as a non-linear integer programming problem and present a polynomial time algorithm based on integer partition and minimum matching to support optimized allocation. We prove the correctness of our theoretical derived results by extensive simulations. The performance comparison results show that the proposed antenna allocation algorithm outperforms other heuristic based algorithms under different traffic models.
Original languageEnglish
Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
PublisherIEEE
Pages4702-4707
Number of pages6
ISBN (Electronic)9781479935116
DOIs
Publication statusPublished - 9 Feb 2014
Externally publishedYes
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: 8 Dec 201412 Dec 2014

Conference

Conference2014 IEEE Global Communications Conference, GLOBECOM 2014
CountryUnited States
CityAustin
Period8/12/1412/12/14

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Communication

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