Paper Info
Title
A Two-Tier Evolutionary Game Theoretic Approach to Dynamic Spectrum Sharing through Licensed Shared Access
Abstract
In this paper, we propose a two-tier evolutionary game for dynamic spectrum sharing using Licensed Shared Access (LSA) to serve the additional capacity needs of Mobile Network Operators (MNOs). The proposed algorithm ensures fair and demand-driven allocation of spectrum resources to LSA licensees, guaranteeing spectrum availability for licensees unlike previous spectrum sharing techniques. Moreover, we extend the evolutionary game by modeling the dynamic price adjustment strategies adopted by incumbents achieving an improved total gain for the incumbents. We prove the stability of the proposed evolutionary algorithm using Lyapunov stability criteria. Additionally, we perform simulations to prove convergence and stability of the evolutionary algorithm, and highlight the effects of dynamic parameters offered by incumbents such as price on overall average licensee payoff.
Year
DOI
Venue
2015
10.1109/CIT/IUCC/DASC/PICOM.2015.4
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing
Keywords
Field
DocType
game theory,evolutionary game,spectrum sharing,LSA,QoS
Convergence (routing),Mathematical optimization,Evolutionary algorithm,Computer science,Information technology,Lyapunov stability,Computer network,Operator (computer programming),Cellular network,Ubiquitous computing,Stochastic game
Conference
Citations 
PageRank 
References 
2
0.40
12
Authors
3
Name
Order
Citations
PageRank
Ahsan Saadat131.77
Gengfa Fang212824.24
Wei Ni347470.16