检索结果-南通市图书馆

An Optimized Algorithm for CR-MIMO Wireless Networks

Computers, Materials & Continua 2022年第4期71卷 697-715页

作者： Imran Khan Fahd N.Al-Wesabi Marwa Obayya Anwer Mustafa Hilal Manar Ahmed Hamza Mohammed Rizwanullah Fahad Ahmed Al-Zahrani Hirofumi Amano Samih M.Mostafa Department of Electrical Engineering University of Engineering&TechnologyPeshawarPakistan Department of Computer Science King Khalid UniversityMuhayel AseerKSA Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Research Institute for Information Technology Kyushu UniversityFukuoka819-0395Japan Computer Science-Mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt

With the rapid development of wireless communication technology,the spectrum resources are increasingly strained which needs optimal solutions.Cognitive radio(CR)is one of the key technologies to solve this problem.Spectrum sensing not only includes the precise detection of the communication signal of the primary user(PU),but also the precise identification of its modulation type,which can then determine the a priori information such as the PU’service category,so as to use this information to make the cognitive user(CU)aware to discover and use the idle spectrum more effectively,and improve the spectrum utilization.Spectrum sensing is the primary feature and core part of CR.Classical sensing algorithms includes energy detection,cyclostationary feature detection,matched filter detection,and so on.The energy detection algorithm has a simple structure and does not require prior knowledge of the PU transmitter signal,but it is easily affected by noise and the threshold is not easy to determine.The combination of multiple-input multiple-output(MIMO)with CR improves the spectral efficiency and multipath fading utilization.To best utilize the PU spectrum while minimizing the overall transmit power,an iterative technique based on semidefinite programming(SDP)and minimum mean squared error(MMSE)is proposed.Also,this article proposed a new method for max-min fairness beamforming.When compared to existing algorithms,the simulation results show that the proposed algorithms perform better in terms of total transmitted power and signal-tointerference plus noise ratio(SINR).Furthermore,the proposed algorithm effectively improved the system performance in terms of number of iterations,interference temperature threshold and balance SINR level which makes it superior over the conventional schemes.

关键词： Cognitive radio spectrum utilization bandwidth primary user

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Analysis of secondary throughput and optimization in cooperative spectrum sensing

引用

The Journal of China Universities of Posts and Telecommunications 2011年第4期18卷 39-44页

作者： LI Mei-ling YUAN Chao-wei LI Lin YANG Rui-zhe School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China School of Electronics and Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 China College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China

In cooperative spectrum sensing, more secondary user makes more opportunity for detecting the vacant spectrums, which resulting the spectrum utilization improved, however much bandwidth would be occupied for sending the local observation results, inducing the reduced secondary throughput. In this paper, an adaptive algorithm for selecting detection threshold was proposed, where the maximized secondary throughput can always be achieved while assuring sufficient protection to primary user, regardless of the number of sensing users in cognitive radio networks. Theoretical analysis and simulation results validate the proposed scheme.

关键词： cooperative spectrum sensing secondary throughput spectrum utilization primary user secondary user detection threshold

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Adaptive power control and beam-forming joint optimization in cognitive radio networks

引用

The Journal of China Universities of Posts and Telecommunications 2012年第4期19卷 49-55页

作者： CHU Hong-fa YU Dan LI Nan NIU Kai WU Wei-ling Key Laboratory of Universal Wireless Communication Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China

A novel adaptive power control and beam-forming joint optimization algorithm is proposed in cognitive radio （CR） underlay networks, where cognitive network share spectrum with primary network which spectrum is licensed. In this paper, both primary base station （PBS） and cognitive base station （CBS） are all equipped with multi antennas, while each primary user （PU） and cognitive user （CU） has only one antenna. Different from traditional algorithms, an adaptive weight factor generating solution is supplied to different access users （both PUs and CUs） in this paper, and the different priority of users is also considered, because PUs have higher priority, the weight factor of PUs is fixed as constant and signal-to-interference and noise ratio （SINR） threshold is unchanged, while for CUs, it is set adaptively and SINR threshold is also changed accordingly. Using this algorithm, the transmit power is decreased, which relax the strict requirements for power amplifier in communication systems. And moreover, owing to PUS has fixed SINR threshold, the calculated SINR at receiver is nearly unchanged, but for CUs, the S1NR is changing with the adaptive weight factor. Under the assurance of quality of service （QoS） of PUs, the solution in this paper can enable CRs access to the CR network according to adaptive SINR threshold, therefore which supplies higher spectrum utilization efficiency.

关键词： cognitive radio power control beam-forming joint optimization primary user cognitive user

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Channel-aware and queue-aware joint-layer resource optimization for cognitive radio networks

引用

Science China(Information Sciences) 2010年第12期53卷 2576-2583页

作者： GUO KunQi 1,2,SUN LiXin 1,LI Yong 2 & JIA ShiLou 3 1 School of Computer Science and Telecommunication Engineering,Jiangsu University,Zhenjiang 212013,China 2 Research Center for Wireless Communication,Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai 200050,China 3 Communication Research Center,Harbin Institute of Technology,Harbin 150001,China School of Computer Science and Telecommunication Engineering Jiangsu University Zhenjiang China Research Center for Wireless Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China Communication Research Center Harbin Institute of Technology Harbin China

An optimization model is derived to maximize the utilization efficiency of the idle channels of primary users(PU) in cognitive radio networks.In the optimization model,Lyapunov optimization method is used to allocate the idle channels of PU to secondary user(SU) most efficiently.The time distribution of the idle channels of PU is predicted by a low-pass time window.An algorithm is proposed to implement the optimization process.The algorithm is efficient because of using a greedy selection mechanism.The efficiency of the algorithm is demonstrated by mathematic analyses and simulation results.

关键词： cognitive radio networks Lyapunov optimization resource utilization primary user secondary user

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Adaptive Packet Scheduling Algorithm for Cognitive Radio System

Adaptive Packet Scheduling Algorithm for Cognitive Radio Sys...

引用

2006 10th International Conference on Communication Technology（ICCT 2006）

作者： Jianying Li Binyang Xu Zhangjing Xu and Shaoqian Li National Key Lab. of Communication University of Electronic Sci. and Tech. of China ChengDu 610054 P.R.C. Yi Liu Sichuan Mobile Communication Co. Ltd. ChengDu P.R.C.

In this paper, an adaptive downlink packet scheduling algorithm for real-time and non-real-time multi-service applications in cognitive radio system is proposed. With QoS and spectrum variation awareness capability, the proposed algorithm possesses adaptability to dynamic resource. And this property makes it suitable for cognitive radio system, in which available spectrums vary with the activities of primary users. Simulation results show that, compared with traditional packet scheduling algorithms, the proposed algorithm provides better QoS guarantee for real-time traffics, higher system access capacity and more efficient spectrum utilization for cognitive radio system.

关键词： cognitive radio packet loss rate packet scheduling primary user QoS

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：