NDLI: Two-cell power allocation for downlink CDMA

Content Provider	IEEE Xplore Digital Library
Author	Chi Zhou Peifang Zhang Honig, M.L. Jordan, S.
Copyright Year	2002
Abstract	Power and code allocation across two adjacent cells is studied for the downlink of a code-division multiple-access voice network. Each user has a utility function that measures the user's willingness to pay, or utility, as a function of the received signal-to-interference-plus-noise-ratio. The objective is to maximize the total utility over the two cells subject to code and power constraints. When all active users receive the same utility, the optimal allocation is characterized by a pair of threshold radii for the two cells, where each radius specifies the set of active users in that cell. The behavior of the optimal radii are characterized as a function of load and available resources (power and codes). The corresponding optimal power allocation can be achieved through a pricing scheme, in which each base station announces a price for each resource, and each user responds by requesting the amount of resources that maximizes the user's surplus (utility minus cost). We show that, depending on the load and resource constraints, the two cells may have to coordinate, or exchange information, in order to maximize the total utility.
Starting Page	2256
Ending Page	2266
Page Count	11
File Size	587181
File Format	PDF
ISSN	15361276
Volume Number	3
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Downlink Multiaccess communication Resource management Pricing Power control Quality of service Signal to noise ratio Interference Base stations Cost function voice service Code-division multiple-access (CDMA) downlink power control pricing resource allocation surplus utility
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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