A STACKELBERG GAME APPROACH TO DISTRIBUTED SPECTRUM MANAGEMENT

被引：19
|
作者：
Razaviyayn, Meisam [1 ]
Morin, Yao [1 ]
Luo, Zhi-Quan [1 ]
机构：
[1] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年
关键词：
Cognitive Radio Network; Distributed spectrum management; Stackelberg game; Mathematical Program with Equilibrium Constraint (MPEC);
D O I：
10.1109/ICASSP.2010.5496130
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, we consider a cognitive radio system with one primary (licensed) user and multiple secondary (unlicensed) users. Considering the interference temperature constraints, the secondary users compete for the available spectrum so as to satisfy their need for communication. Borrowing the concept of price from market theory, we develop 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. We show that this Stackelberg game is polynomial time solvable under certain channel conditions. The proposed method is decomposable across the tones and is more power efficient than the Iterative Water-Filling Algorithm.
引用
收藏
页码：3006 / 3009
页数：4
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