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Research Abstracts Online
January 2010 - March 2011

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University of Minnesota Twin Cities
College of Science and Engineering
Department of Electrical and Computer Engineering

PI: Zhi-Quan Tom Luo

A Stackelberg Game Approach to Distributed Spectrum Management

This project investigates a cognitive radio system with one primary (licensed) user and multiple secondary (unlicensed) users. Given the interference temperature constraint, the secondary users compete for the available spectrum to fulfill their own communication needs. Borrowing the concept of price from market theory, these researchers have developed a decentralized Stackelberg game formulation for power allocation. In this scheme, primary user (leader) announces prices for the available tones such that a system utility is maximized. Using the announced prices, secondary users (followers) compete for the available bandwidth to maximize their own utilities. This Stackelberg game is polynomial time solvable under certain channel conditions. When the individual power constraints of secondary users are inactive (due to strict interference temperature constraint), the proposed distributed power control method is decomposable across the tones and is more power efficient than the Iterative Water-Filling Algorithm. When individual power constraints are active, the researchers have developed a dual decomposition-based power control method that solves the Stackelberg game asymptotically when the number of tones becomes large.

Group Members

Maziar Sanjabi Boroujeni, Graduate Student
Meisam Razaviyayn, Graduate Student
Hung-Wei Tseng, Graduate Student