A novel resource allocation scheme for reducing MAP overhead and maximizing throughput in MIMO-OFDM systems

Chung Ha Koh, Kyung Ho Sohn, Ji Wan Song, Young Yong Kim

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

Abstract

We propose a novel resource allocation scheme, which can reduce MAP overhead and maximize the throughput in the MIMO-OFDM systems. In the message based broadband access system, we need to minimize the MAP overhead since the excessive MAP overhead causes degradation of system throughput. Increasing the size of resource allocation unit can reduce MAP overhead. However, multiuser diversity gain becomes smaller as the size of re-source allocation unit increases. Therefore, we investigate joint optimization between multiuser diversity gain and MAP overhead size. Using the proposed scheme, we can reduce MAP overhead size as well as achieve high throughput.

Original languageEnglish
Title of host publicationNetworking 2006 - Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Com. Syst. - 5th Int. IFIP-TC6 Netw. Conf. Proc.
EditorsThomas Plagemann, Burkhard Stiller, Cedric Westphal, Fernando Boavida, Edmundo Monteiro
PublisherSpringer Verlag
Pages1191-1196
Number of pages6
ISBN (Electronic)9783540341925
ISBN (Print)3540341927, 9783540341925
DOIs
Publication statusPublished - 2006 Jan 1
Event5th International IFIP-TC6 Networking Conference, Networking 2006 - Coimbra, Portugal
Duration: 2006 May 152006 May 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3976 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International IFIP-TC6 Networking Conference, Networking 2006
CountryPortugal
CityCoimbra
Period06/5/1506/5/19

Fingerprint

MIMO-OFDM
MIMO systems
Resource Allocation
Orthogonal frequency division multiplexing
Resource allocation
Throughput
Multiuser Diversity
Diversity Gain
Unit
Broadband
High Throughput
Degradation
Maximise
Minimise
Optimization

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Koh, C. H., Sohn, K. H., Song, J. W., & Kim, Y. Y. (2006). A novel resource allocation scheme for reducing MAP overhead and maximizing throughput in MIMO-OFDM systems. In T. Plagemann, B. Stiller, C. Westphal, F. Boavida, & E. Monteiro (Eds.), Networking 2006 - Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Com. Syst. - 5th Int. IFIP-TC6 Netw. Conf. Proc. (pp. 1191-1196). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3976 LNCS). Springer Verlag. https://doi.org/10.1007/11753810_107
Koh, Chung Ha ; Sohn, Kyung Ho ; Song, Ji Wan ; Kim, Young Yong. / A novel resource allocation scheme for reducing MAP overhead and maximizing throughput in MIMO-OFDM systems. Networking 2006 - Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Com. Syst. - 5th Int. IFIP-TC6 Netw. Conf. Proc.. editor / Thomas Plagemann ; Burkhard Stiller ; Cedric Westphal ; Fernando Boavida ; Edmundo Monteiro. Springer Verlag, 2006. pp. 1191-1196 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "We propose a novel resource allocation scheme, which can reduce MAP overhead and maximize the throughput in the MIMO-OFDM systems. In the message based broadband access system, we need to minimize the MAP overhead since the excessive MAP overhead causes degradation of system throughput. Increasing the size of resource allocation unit can reduce MAP overhead. However, multiuser diversity gain becomes smaller as the size of re-source allocation unit increases. Therefore, we investigate joint optimization between multiuser diversity gain and MAP overhead size. Using the proposed scheme, we can reduce MAP overhead size as well as achieve high throughput.",
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Koh, CH, Sohn, KH, Song, JW & Kim, YY 2006, A novel resource allocation scheme for reducing MAP overhead and maximizing throughput in MIMO-OFDM systems. in T Plagemann, B Stiller, C Westphal, F Boavida & E Monteiro (eds), Networking 2006 - Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Com. Syst. - 5th Int. IFIP-TC6 Netw. Conf. Proc.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3976 LNCS, Springer Verlag, pp. 1191-1196, 5th International IFIP-TC6 Networking Conference, Networking 2006, Coimbra, Portugal, 06/5/15. https://doi.org/10.1007/11753810_107

A novel resource allocation scheme for reducing MAP overhead and maximizing throughput in MIMO-OFDM systems. / Koh, Chung Ha; Sohn, Kyung Ho; Song, Ji Wan; Kim, Young Yong.

Networking 2006 - Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Com. Syst. - 5th Int. IFIP-TC6 Netw. Conf. Proc.. ed. / Thomas Plagemann; Burkhard Stiller; Cedric Westphal; Fernando Boavida; Edmundo Monteiro. Springer Verlag, 2006. p. 1191-1196 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3976 LNCS).

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

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Koh CH, Sohn KH, Song JW, Kim YY. A novel resource allocation scheme for reducing MAP overhead and maximizing throughput in MIMO-OFDM systems. In Plagemann T, Stiller B, Westphal C, Boavida F, Monteiro E, editors, Networking 2006 - Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Com. Syst. - 5th Int. IFIP-TC6 Netw. Conf. Proc.. Springer Verlag. 2006. p. 1191-1196. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11753810_107