Single-Cell Forward Link Power Allocation Using Pricing in Wireless Networks

Peijuan Liu*, Peifang Zhang, Scott Jordan, Michael L. Honig

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

We consider forward link power allocation for voice users in a code-division multiple-access wireless network. Admission control policies are investigated, which base a new call admission decision not only upon available capacity, but also upon the required forward link transmit power and upon the user's willingness to pay. We assume that each voice user has a utility function that describes the user's willingness to pay as a function of forward link signal-to-interference plus noise ratio. The network objective is to maximize either total utility summed over all users or total revenue generated from all users. Properties of the optimal power and code allocations are presented. Our key results show how these optimal allocations can be achieved using pricing. The analysis is complemented with a numerical study, which shows how the optimal prices and corresponding utility or revenue vary with load.

Original languageEnglish (US)
Pages (from-to)533-543
Number of pages11
JournalIEEE Transactions on Wireless Communications
Volume3
Issue number2
DOIs
StatePublished - Mar 2004

Funding

Manuscript received March 21, 2002; revised October 18, 2002 and February 10, 2003; accepted February 17, 2003. The editor coordinating the review of this paper and approving it for publication is N. Mandayam. This work was supported by the Northwestern-Motorola Center for Communications, by the National Science Foundation (NSF) under Grants CCR-9903055 and ANI-0137103, and by Defense Advanced Research Projects Agency (DARPA) under Grant N66001-00-1-8935. This paper was presented in part at IEEE WCNC 2000, Chicago, IL, and at ITCom 2001, Denver, CO.

Keywords

  • Cellular resource allocation
  • Power control
  • Pricing
  • Utility maximization

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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