机会式频谱接入的理论与应用研究
[Abstract]:Opportunistic spectrum access, as a new technology that can improve the spectrum utilization rate, has received extensive attention from the academic community and the industry in recent years. In an opportunistic spectrum access policy, that cognitive us opportunistic access to the idle spectrum when the authorized spectrum is idle. When the authorized user returns, the cognitive user needs to exit the authorization channel immediately to avoid interference to the authorized user. In this paper, the spectrum-aware scheduling problem in opportunistic spectrum access is studied, and the opportunistic spectrum access in the cellular network and the femtocell network should be discussed. Use. The main content package of the paper in the wireless network based on opportunistic spectrum access, when a plurality of authorized users of different service types are present and the cognitive user experiences the time-varying channel, Degree problem. We present a new information-based, information-based, spectrum-aware tone. in the strategy, we use the Markov chain to predict the channel state information of the cognitive user, and use the service characteristic information of the authorized user to predict that the authorized channel is idle in the next frame the cognitive base station schedules the cognitive users to perceive and transmit on different authorized channels in order to maximize the cognitive radio network through the prediction information, in that spectrum-aware scheduling strategy, we also consider the two important network indexes of network throughput and fairness, and describe the scheduling strategy as an excellent The question of the optimization is then determined by the Hungarian algorithm. The proposed spectrum-aware scheduling strategy based on the information prediction can balance the two indexes of network throughput and fairness, while ensuring the fairness among the cognitive users, and obtaining a higher network. throughput. In a cellular network based on opportunistic spectrum access, we study how to model the access process and to analyze the service level of the network (G S) Performance. First, we give a cellular network based on opportunistic spectrum access network architecture. For non-jump and jump modes, we propose two opportunistic frequencies for cellular networks the spectrum access strategy is then used to model the opportunistic spectrum access policy in the cellular network by building a three-dimensional continuous markov chain to analyze the cellular network based on the opportunistic spectrum access, GS performance. Based on the obtained GS performance parameters, we analyzed the spectrum utilization rate of the cellular network based on the opportunistic spectrum access and the given target GS performance index, and the cellular network based on the opportunistic spectrum access can carry the industry. In a femtocell network based on opportunistic spectrum access, a hybrid access mode is studied The incentive mechanism in the formula. We propose a dynamic spectrum allocation method to excite the wireless carrier and the femtocell. In the method, in order to excite the femtocell to share a limited resource to serve the macro user, the macro base station will allocate a portion of the spectrum resources that should have been allocated to the indoor macro user, The femtocell base station can obtain more spectrum resources to improve the femtocell base station. We have designed a protocol to complete the dynamic spectrum allocation method proposed by us, and describe the resource allocation problem in the femtocell base station as an optimization problem. A method, an operator and a femtocell user to obtain an optimal solution by using the dynamic spectrum allocation proposed by us on the one hand, the macro base station can save the communication quality of the macro user, in a further aspect, that femtocell base station is able to obtain more spectral resources to improve the femtocell
【学位授予单位】:华中科技大学
【学位级别】:博士
【学位授予年份】:2014
【分类号】:TN925
【共引文献】
相关期刊论文 前10条
1 江帆;卢光跃;;认知无线网络中基于业务区分的自适应MAC协议[J];电讯技术;2013年07期
2 姚富强;张建照;柳永祥;赵杭生;;动态频谱管理的发展现状及应对策略分析[J];电波科学学报;2013年04期
3 李哲;柏鹏;檀蕊莲;姚战宏;林晋福;卢虎;;基于双门限能量检测的自适应协作频谱感知[J];电视技术;2013年17期
4 吴呈瑜;何晨;蒋铃鸽;;认知无线网络中的频谱切换性能分析[J];电子与信息学报;2013年11期
5 王慧强;王振东;;认知无线网络安全频谱感知技术研究进展[J];大庆师范学院学报;2013年06期
6 付亚楠;杨守义;白文娟;;主用户活跃性对新的认知无线电系统容量的影响[J];电视技术;2013年23期
7 李文;邓微;;认知无线电中频谱分配技术研究[J];广东通信技术;2013年12期
8 姚文贵;;CR网络中的主用户活动检测与跟踪算法研究[J];电子测量技术;2014年02期
9 肖晓飞;贾颖;;认知计算在网络安全态势感知中的应用研究[J];大众科技;2014年02期
10 赵知劲;胡伟康;王海泉;;基于双特征值极限分布的合作频谱感知算法[J];电信科学;2014年04期
相关会议论文 前3条
1 Feng Peilun;Zhang Jianzhao;Zhao Hangsheng;Liu Renfu;Li Dali;;A Spectrum Pooling-based Algorithm in Spectrum Aggregation and Allocation[A];2012年计算机应用与系统建模国际会议论文集[C];2012年
2 Xin WANG;Zhi-gang LIU;Jin-kuan WANG;Bin WANG;Xi HU;;Spectrum Sensing for Cognitive Network Based on Principal Component Analysis and Random Forest[A];第26届中国控制与决策会议论文集[C];2014年
3 崔宇;王志;史名霄;;基于贝叶斯博弈双向拍卖的认知无线电频谱分配研究[A];2014全国无线及移动通信学术大会论文集[C];2014年
相关博士学位论文 前10条
1 李志杰;无线局域网无线资源管理及跨层设计研究[D];西南交通大学;2012年
2 刘然;移动互联网环境下高效流媒体分发关键技术研究[D];华中科技大学;2013年
3 黄丽;认知无线电网络中感知策略和频谱共享技术研究[D];华中科技大学;2013年
4 任德锋;下一代无线通信中高速Turbo译码和协作频谱感知研究[D];西安电子科技大学;2013年
5 蔡雪莲;无线Ad Hoc网络接入和路由关键技术研究[D];西安电子科技大学;2013年
6 陈涛;无线网络的物理层安全问题研究[D];华南理工大学;2013年
7 刘允;认知无线电频谱感知及资源分配技术研究[D];电子科技大学;2013年
8 吕守涛;无线频谱环境认知技术研究[D];电子科技大学;2013年
9 安春燕;认知无线网络资源管理若干关键技术研究[D];北京邮电大学;2013年
10 张晓亮;无线协作通信系统中资源管理和优化技术研究[D];北京邮电大学;2013年
相关硕士学位论文 前10条
1 孙晨;结合定位的新型频谱检测技术研究[D];吉林大学;2013年
2 时浩;基于认知无线网状网的媒体接入控制技术研究[D];北方工业大学;2013年
3 张杰;车载自组网认知区分路由协议研究[D];大连海事大学;2013年
4 王中伟;无线通信系统中基于Markov模型的信道分配研究[D];新疆大学;2013年
5 刘京川;基于稀疏度检测的宽带压缩频谱感知方法研究[D];北京邮电大学;2013年
6 胡畔;认知无线电中基于能量检测的频谱感知技术研究[D];北京邮电大学;2013年
7 梁芮;基于D-S证据理论的认知无线电协作频谱感知算法研究[D];西南交通大学;2013年
8 白文娟;基于认知无线电的协作频谱感知研究[D];郑州大学;2013年
9 陈亚琨;基于感知信息量化的判决融合算法研究[D];郑州大学;2013年
10 高丽;基于博弈论的动态频谱共享算法研究[D];郑州大学;2013年
,本文编号:2508011
本文链接:https://www.wllwen.com/kejilunwen/wltx/2508011.html