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Power Control for Wireless Data (2000)
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| Venue: | IEEE Personal Communications |
| Citations: | 211 - 13 self |
BibTeX
@ARTICLE{Goodman00powercontrol,
author = {David Goodman and Narayan Mandayam},
title = {Power Control for Wireless Data},
journal = {IEEE Personal Communications},
year = {2000},
pages = {48--54}
}
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Abstract
Abstract- With cellular phones mass-market consumer items, the next frontier is mobile multimedia communications. This situation raises the question of how to do power control for information sources other than voice. To explore this issue, we use the concepts and mathematics of microeconomics and game theory. In this context, the Quality of Service of a telephone call is referred to as the "utility " and the distributed power control problem for a CDMA telephone is a "noncooperative game". The power control algorithm corresponds to a strategy that has a locally optimum operating point referred to as a "Nash equilibrium. " The telephone power control algorithm is also "Pareto efficient, " in the terminology of game theory. When we apply the same approach to power control in
Keyphrases
power control wireless data game theory nash equilibrium next frontier telephone power control algorithm pareto efficient cellular phone mass-market consumer item telephone call distributed power control problem mobile multimedia communication cdma telephone noncooperative game information source
