Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc Networks

The paper studies the cooperative spectrum sharing among multiple secondary users (SUs) in a clustering cognitive ad hoc network. The problem is formulated as a repeated game with the aim of maximizing the total transmission rate of SUs. Firstly, a clustering formation procedure is proposed to reduc...

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Main Authors: Cuiran Li, Jianli Xie
Format: Article
Language:English
Published: Wiley 2013-03-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/514037
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author Cuiran Li
Jianli Xie
author_facet Cuiran Li
Jianli Xie
author_sort Cuiran Li
collection DOAJ
description The paper studies the cooperative spectrum sharing among multiple secondary users (SUs) in a clustering cognitive ad hoc network. The problem is formulated as a repeated game with the aim of maximizing the total transmission rate of SUs. Firstly, a clustering formation procedure is proposed to reduce the overhead and delay of game process in cognitive radio network (CRN). Then the repeated game-inspired model for SUs is introduced. With the model, the convergence condition of the proposed spectrum-sharing algorithm is conducted, and the convergence performance is investigated by considering the effects of three key factors: transmission power, discount factor, and convergence coefficient. Furthermore, the fairness of spectrum sharing is analyzed, and numerical results show a significant performance improvement of the proposed strategy when compared to other similar spectrum-sharing algorithms.
format Article
id doaj-art-67d1da5ae41e4d7f912ba57462c6560e
institution Kabale University
issn 1550-1477
language English
publishDate 2013-03-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-67d1da5ae41e4d7f912ba57462c6560e2025-08-20T03:34:02ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-03-01910.1155/2013/514037Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc NetworksCuiran Li0Jianli Xie1 State Key Lab. of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China State Key Lab. of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaThe paper studies the cooperative spectrum sharing among multiple secondary users (SUs) in a clustering cognitive ad hoc network. The problem is formulated as a repeated game with the aim of maximizing the total transmission rate of SUs. Firstly, a clustering formation procedure is proposed to reduce the overhead and delay of game process in cognitive radio network (CRN). Then the repeated game-inspired model for SUs is introduced. With the model, the convergence condition of the proposed spectrum-sharing algorithm is conducted, and the convergence performance is investigated by considering the effects of three key factors: transmission power, discount factor, and convergence coefficient. Furthermore, the fairness of spectrum sharing is analyzed, and numerical results show a significant performance improvement of the proposed strategy when compared to other similar spectrum-sharing algorithms.https://doi.org/10.1155/2013/514037
spellingShingle Cuiran Li
Jianli Xie
Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc Networks
International Journal of Distributed Sensor Networks
title Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc Networks
title_full Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc Networks
title_fullStr Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc Networks
title_full_unstemmed Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc Networks
title_short Repeated Game-Inspired Spectrum Sharing for Clustering Cognitive Ad Hoc Networks
title_sort repeated game inspired spectrum sharing for clustering cognitive ad hoc networks
url https://doi.org/10.1155/2013/514037
work_keys_str_mv AT cuiranli repeatedgameinspiredspectrumsharingforclusteringcognitiveadhocnetworks
AT jianlixie repeatedgameinspiredspectrumsharingforclusteringcognitiveadhocnetworks