Distributed discrete resource optimization in heterogeneous networks

Christophe Gaie*, Mohamad Assaad, Markus Muck, Pierre Duhamel

*Corresponding author for this work

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

Abstract

Nowadays, the emergence of many radio technolgies has increased the research interest towards Radio Resources Management (RRM) in heterogeneous systems. In this context, we seek a distributed scheme for discrete resource allocation. The algorithm proposed should reduce computation and signalling overhead, compared to centralized optimization or distributed solutions based on Game Theory. Therefore, the solution proposed here consists in splitting the resource allocation problem into two parts. First, Users and Base Stations negotiate a mean allocation using a Multisystem Minimum Mean Rate Scheduling (M3RS) algorithm presented here. Then, Base Stations allocate power independandy and instantaneously in order to cope with changing radio conditions. This problem is widely known in literature and is not developped here.

Original languageEnglish
Title of host publication2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages560-564
Number of pages5
ISBN (Electronic)9781424420469
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2008 - Recife, Brazil
Duration: 6 Jul 20089 Jul 2008

Other

Other2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2008
CountryBrazil
CityRecife
Period6/07/089/07/08

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    Gaie, C., Assaad, M., Muck, M., & Duhamel, P. (2008). Distributed discrete resource optimization in heterogeneous networks. In 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications (pp. 560-564). [4641670] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SPAWC.2008.4641670