当前位置: 首页 > 学术论文 > 清洁节能 > 正文

认知无线电网络中具有服务逋量保障的节能动态接入策略(英文)

关注热度:86   来源:新能源学术论文  作者:魏翼飞 滕颖蕾 王莉 宋梅 王小军
相似论文 相关推荐 你可能关注 点击排行 我要评论

【摘要】:Dynamic spectrum access policy is crucial in improving the performance of overlay cognitive radio networks.Most of the previous works on spectrum sensing and dynamic spectrum access consider the sensing effectiveness and spectrum utilization as the design criteria,while ignoring the energy related issues and QoS constraints.In this article,we propose a QoS provisioning energy saving dynamic access policy using stochastic control theory considering the time-varying characteristics of wireless channels because of fading and mobility.The proposed scheme determines the sensing action and selects the optimal spectrum using the corresponding power setting in each decision epoch according to the channel state with the objective being to minimise both the frame error rate and energy consumption.We use the Hidden Markov Model(HMM) to model a wireless channel,since the channel state is not directly observable at the receiver,but is instead embedded in the received signal.The procedure of dynamic spectrum access is formulated as a Markov decision process which can be solved using linear programming and the primaldual index heuristic algorithm,and the obtained policy has an index-ability property that can be easily implemented in real systems.Simulation results are presented to show the performance improvement caused by the proposed approach.
【作者单位】: Beijing
【关键词】energy saving dynamic access cognitive radio hidden Markov model
【基金】:supported by the National Natural Science Foundation of China under Grant No.61101107 the Beijing Higher Education Young Elite Teacher Project under Grant No.YETP0439
【分类号】:TN925
【正文快照】:
I.INTRODUCTION As the demand of wireless spectrum increases rapidly in recent years,cognitive radio has rec- eived significant attention from both industryand academia as an effective measure to res-olve the conflicts between limited spectrum ^resource a


您可以在本站搜索以下学术论文文献来了解更多相关内容

异构认知无线网络融合若干关键技术研究    陈锋

认知无线网络中基于模糊逻辑和Q学习的集中式动态频谱分配(英文)    张文柱;刘栩辰;

异构认知网络自适应频谱决策方法(英文)    孙武剑;刘洋;李娜;李鸥;李彩萍;

Network selection policy in multi-radio access environment using stochastic control theory    

动态频谱管理的发展现状及应对策略分析    姚富强;张建照;柳永祥;赵杭生;

基于双门限能量检测的自适应协作频谱感知    李哲;柏鹏;檀蕊莲;姚战宏;林晋福;卢虎;

认知无线网络中的频谱切换性能分析    吴呈瑜;何晨;蒋铃鸽;

认知无线网络安全频谱感知技术研究进展    王慧强;王振东;

主用户活跃性对新的认知无线电系统容量的影响    付亚楠;杨守义;白文娟;

认知无线电中频谱分配技术研究    李文;邓微;

认知计算在网络安全态势感知中的应用研究    肖晓飞;贾颖;

无线网络中自适应的资源预留切换算法研究    夏汉铸;刘辉元;

基于双特征值极限分布的合作频谱感知算法    赵知劲;胡伟康;王海泉;

电磁频谱监测设备部署优化算法    葛云露;董俊;姬生云;冯晓哲;王健;王先义;

A Spectrum Pooling-based Algorithm in Spectrum Aggregation and Allocation    Feng Peilun;Zhang Jianzhao;Zhao Hangsheng;Liu Renfu;Li Dali;

Spectrum Sensing for Cognitive Network based on Principal Component Analysis and Random Forest    Xin WANG;Zhi-gang LIU;Jin-kuan WANG;Bin WANG;Xi HU;

基于贝叶斯博弈双向拍卖的认知无线电频谱分配研究    崔宇;王志;史名霄;

干扰温度约束下的一种新的中继选择策略    余杰;刘顺兰;

无线局域网无线资源管理及跨层设计研究    李志杰

移动互联网环境下高效流媒体分发关键技术研究    刘然

认知无线电网络中感知策略和频谱共享技术研究    黄丽

下一代无线通信中高速Turbo译码和协作频谱感知研究    任德锋

无线Ad Hoc网络接入和路由关键技术研究    蔡雪莲

无线网络的物理层安全问题研究    陈涛

认知无线电频谱感知及资源分配技术研究    刘允

无线频谱环境认知技术研究    吕守涛

认知无线网络资源管理若干关键技术研究    安春燕

无线协作通信系统中资源管理和优化技术研究    张晓亮

湖北邮政应用系统及网络平台规划研究    邓宝才

结合定位的新型频谱检测技术研究    孙晨

基于认知无线网状网的媒体接入控制技术研究    时浩

车载自组网认知区分路由协议研究    张杰

无线通信系统中基于Markov模型的信道分配研究    王中伟

基于稀疏度检测的宽带压缩频谱感知方法研究    刘京川

认知无线电中基于能量检测的频谱感知技术研究    胡畔

基于D-S证据理论的认知无线电协作频谱感知算法研究    梁芮

基于认知无线电的协作频谱感知研究    白文娟

基于感知信息量化的判决融合算法研究    陈亚琨

Joint Efforts to Combat Transnational Crime    

Q-learning based heterogenous network self-optimization for reconfigurable network with CPC assistance    

认知无线网络中的认知流(英文)    许文俊;林家儒;冯志勇;徐文波;张平;

基于Q-Learning的认知无线电系统感知管理算法    李默;徐友云;蔡跃明;

模糊层次分析法(FAHP)    张吉军

IEEE1900.4框架下一种有效的终端重构策略    张文柱;曾业;孙晓艳;

A Novel System Model based on Cost-prediction for Spectrum Leasing in Cognitive Radio    

基于部分感知用户协作的多天线频谱检测方案(英文)    王晓湘;王晶;王玉龙;马博;

 
关键词: energysaving

[ 学术论文搜索 ]  [ 加入收藏 ]  [ 告诉好友 ]  [ 打印本文 ]  [ 违规举报 ]  [ 关闭窗口 ]

 
相关学术论文推荐
 
0条 [查看全部]  相关评论
 
推荐论文
智能推荐
 
网站首页 | 关于我们 | 联系方式 | 使用协议 | 版权隐私 | 排名推广 | 广告服务 | 积分换礼 | 网站留言