A stackelberg game approach to distributed spectrum management

Meisam Razaviyayn; Yao Morin; Zhi-Quan Luo

doi:10.1109/ICASSP.2010.5496130

A stackelberg game approach to distributed spectrum management

Meisam Razaviyayn, Yao Morin, Zhi-Quan Luo

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

27 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
Pages	3006-3009
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2010.5496130
State	Published - Nov 8 2010
Event	2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States Duration: Mar 14 2010 → Mar 19 2010

Other

Other	2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country	United States
City	Dallas, TX
Period	3/14/10 → 3/19/10

Keywords

Cognitive radio network
Distributed spectrum management
Mathematical Program with Equilibrium Constraint (MPEC)
Stackelberg game

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10.1109/ICASSP.2010.5496130

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Razaviyayn, M, Morin, Y & Luo, Z-Q 2010, A stackelberg game approach to distributed spectrum management. in 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings., 5496130, pp. 3006-3009, 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, Dallas, TX, United States, 3/14/10. https://doi.org/10.1109/ICASSP.2010.5496130

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N2 - 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.

AB - 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.

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