Novel radio resource management scheme with low complexity for multiple antenna wireless network system

Jian Xu, Rong Ran, Dong Ku Kim, Jong Soo Seo

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

Abstract

Multiple-input multiple-output (MIMO) antennas can be combined with orthogonal frequency division multiplexing (OFDM) to increase system throughput by spatial multiplexing. That is the requirement of high speed future wireless networks such as WLANs and WMANs. This paper investigates the radio resource management problem of MIMO-OFDM based wireless network systems in order to maximize the total system throughput subject to the total power and proportional rate constraints of each user. A low-complexity algorithm that separates subcarrier allocation and power allocation is proposed. Simulation results show that the proposed resource allocation algorithm can improve the throughput and also it can make the throughput be distributed more fairly among users than some other schemes.

Original languageEnglish
Title of host publicationEmbedded and Ubiquitous Computing - International Conference, EUC 2007, Proceedings
Pages261-270
Number of pages10
Publication statusPublished - 2007 Dec 1
EventInternational Conference on Embedded and Ubiquitous Computing, EUC 2007 - Taipei, Taiwan, Province of China
Duration: 2007 Dec 172007 Dec 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4808 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Embedded and Ubiquitous Computing, EUC 2007
CountryTaiwan, Province of China
CityTaipei
Period07/12/1707/12/20

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Xu, J., Ran, R., Kim, D. K., & Seo, J. S. (2007). Novel radio resource management scheme with low complexity for multiple antenna wireless network system. In Embedded and Ubiquitous Computing - International Conference, EUC 2007, Proceedings (pp. 261-270). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4808 LNCS).