Title: Cooperative spectrum prediction algorithm based on overlapping alliance game

Authors: Xin Wang; Wei Li; Yongfeng Chen; Li Dai

Addresses: Information and Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, Liaoning, 110168, China ' Information and Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, Liaoning, 110168, China ' Department of Computer Engineering, Hebei Software Institute, Baoding, Hebei, 071000, China ' Information and Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, Liaoning, 110168, China

Abstract: In order to solve the problem of unsatisfactory accuracy of spectrum prediction in a network with multiple primary users, this paper proposes a cooperative spectrum prediction algorithm. The overlapping alliance game is introduced into spectrum prediction. The alliance structure with the highest accuracy of collaborative prediction is selected, and the result with the highest accuracy is obtained. In the experiment, three different collaborative prediction methods are compared and the effects of different parameter values on the simulation results are analysed. The results show that the proposed method has high prediction accuracy, adaptability and robustness.

Keywords: spectrum prediction; cooperative spectrum prediction algorithm; overlapping alliance game; multiple primary users; alliance structure.

DOI: 10.1504/IJMIC.2020.116911

International Journal of Modelling, Identification and Control, 2020 Vol.36 No.3, pp.188 - 199

Received: 30 Jun 2020
Accepted: 19 Sep 2020

Published online: 01 Aug 2021 *

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