A fair and efficient pricing strategy for slotted Aloha in MPR models

Dandan Wang, Cristina Comaniciu, Uf Tureli

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

6 Scopus citations

Abstract

In this paper, we propose a fair pricing strategy to improve the performance of a slotted Aloha system in which users act selfishly to improve their own utility. Based on a game theoretic framework, we show that both throughput and revenue can be optimized by appropriately selecting a pricing strategy for the selfish users. Our proposed solution considers multipacket reception capabilities for the physical layer. The network enforces fairness among different users by employing a pricing policy that favors equal access probabilities.

Original languageEnglish
Title of host publication2006 IEEE 64th Vehicular Technology Conference, VTC-2006 Fall
Pages2474-2478
Number of pages5
DOIs
StatePublished - 2006
Event2006 IEEE 64th Vehicular Technology Conference, VTC-2006 Fall - Montreal, QC, Canada
Duration: 25 Sep 200628 Sep 2006

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2006 IEEE 64th Vehicular Technology Conference, VTC-2006 Fall
Country/TerritoryCanada
CityMontreal, QC
Period25/09/0628/09/06

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