Volume 11 - Volume 11
Stackelberg Game Theory for Rectifying Mutual Interferences among Secondary Users of Cognitive Radio Network in Comparison with Cournot Game Theory
Abstract
Aim: The aim of the study is to solve the problem of mutual interference among SUs based on
Stackelberg game theory. Materials and Methods: This paper proposes an innovative algorithm
based on Stackelberg game theory to reduce interference among secondary users. MATLAB
software is used to implement the algorithm. The algorithm is tested to find Signal to Interference
noise ratio (SINR) of about 10 secondary users in CRN using novel Stackelberg game theory and
compared with the SINR of Secondary users using Cournot game theory. Results: The Statistical
analysis is done by performing Independent Variable test and T-test using SPSS software. The mean
SINR is maximum for Stackelberg game theory (100.9±1 mdb), and the least SINR (13.11±1mdb) is
seen for Cournot game theory. Conclusion: The algorithm based on Stackelberg game theory shows
maximum SINR than the Cournot game theory. Since SINR is maximum Signal quality will be high
and Interference will be less among the users due to which the network performance is improved.
Paper Details
PaperID: 1694
Author's Name: B. Bhavya Sree and Dr.P. Shyamala Bharathi
Volume: Volume 11
Issues: Volume 11
Keywords: Innovative Algorithm, Stackelberg Game, Cournot Game, Mutual Interferences, Cognitive Radio Networks, Primary User, Secondary User.
Year: 2021
Month: April
Pages: 571-583