{"title":"认知无线网络中基于非合作博弈的联合信道质量评价资源分配算法","authors":"Lin Li, Yi-na Deng, Xingang Xie, Wenjiang Feng","doi":"10.12733/JICS20105389","DOIUrl":null,"url":null,"abstract":"For the centralized cognitive radio network, a resource allocation algorithm of joint channel quality evaluation based on non-cooperative game is proposed. The utility function for the game module considers both the receiving SINR threshold and transmitted power and tries to reduce interference as much as possible on the basis of guaranteeing the QoS demands for various services. The available channels can be evaluated through primary users occupying channel time and channel idle/occupied switching times. CR-BS (Cognitive Radio Base Station) calculates queue priority in a scheduling cycle based on users’ difierent services and dynamically adjusts service opportunities for realtime services and non-realtime services, which can provide difierential services and guarantee the equality for difierent services. The simulation shows that the proposed algorithm converges fast, can still ensures each user’s SINR value higher than its QoS demand threshold in low SNR environment, reduce the interference to primary users, and enhance network performance.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resource Allocation Algorithm of Joint Channel Quality Evaluation Based on Non-cooperative Game in Cognitive Radio Network ?\",\"authors\":\"Lin Li, Yi-na Deng, Xingang Xie, Wenjiang Feng\",\"doi\":\"10.12733/JICS20105389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the centralized cognitive radio network, a resource allocation algorithm of joint channel quality evaluation based on non-cooperative game is proposed. The utility function for the game module considers both the receiving SINR threshold and transmitted power and tries to reduce interference as much as possible on the basis of guaranteeing the QoS demands for various services. The available channels can be evaluated through primary users occupying channel time and channel idle/occupied switching times. CR-BS (Cognitive Radio Base Station) calculates queue priority in a scheduling cycle based on users’ difierent services and dynamically adjusts service opportunities for realtime services and non-realtime services, which can provide difierential services and guarantee the equality for difierent services. The simulation shows that the proposed algorithm converges fast, can still ensures each user’s SINR value higher than its QoS demand threshold in low SNR environment, reduce the interference to primary users, and enhance network performance.\",\"PeriodicalId\":213716,\"journal\":{\"name\":\"The Journal of Information and Computational Science\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Information and Computational Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12733/JICS20105389\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Information and Computational Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12733/JICS20105389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
针对集中式认知无线网络,提出了一种基于非合作博弈的联合信道质量评估资源分配算法。游戏模块的效用函数同时考虑接收SINR阈值和发射功率,在保证各种业务的QoS需求的基础上尽量减少干扰。可用信道可以通过主要用户占用信道时间和信道空闲/占用的交换时间来评估。CR-BS (Cognitive Radio Base Station)基于用户的不同业务,在调度周期内计算队列优先级,动态调整实时业务和非实时业务的服务机会,提供差异化服务,保证不同业务的公平性。仿真结果表明,该算法收敛速度快,在低信噪比环境下仍能保证每个用户的信噪比值高于其QoS需求阈值,减少对主用户的干扰,提高网络性能。
Resource Allocation Algorithm of Joint Channel Quality Evaluation Based on Non-cooperative Game in Cognitive Radio Network ?
For the centralized cognitive radio network, a resource allocation algorithm of joint channel quality evaluation based on non-cooperative game is proposed. The utility function for the game module considers both the receiving SINR threshold and transmitted power and tries to reduce interference as much as possible on the basis of guaranteeing the QoS demands for various services. The available channels can be evaluated through primary users occupying channel time and channel idle/occupied switching times. CR-BS (Cognitive Radio Base Station) calculates queue priority in a scheduling cycle based on users’ difierent services and dynamically adjusts service opportunities for realtime services and non-realtime services, which can provide difierential services and guarantee the equality for difierent services. The simulation shows that the proposed algorithm converges fast, can still ensures each user’s SINR value higher than its QoS demand threshold in low SNR environment, reduce the interference to primary users, and enhance network performance.