系统服务等级约束下提高认知无线网络可达业务负荷的研究

doi:10.3969/j.issn.1000-436x.2012.11.004

通信学报 ›› 2012, Vol. 33 ›› Issue (11): 24-32.doi: 10.3969/j.issn.1000-436x.2012.11.004

系统服务等级约束下提高认知无线网络可达业务负荷的研究

余亮,江涛,曹洋

华中科技大学电子与信息工程系，湖北武汉 430074

出版日期:2012-11-25 发布日期:2017-07-25
基金资助:
新一代宽带无线移动通信网国家科技重大专项基金资助项目;国家自然科学基金资助项目

Improving achievable traffic load of cognitive wireless networks under GoS constraints

Liang YU,Tao JIANG,Yang CAO

Department of Electronics and Information Engineering,Huazhong University of Science and Technology,Wuhan 430074,China

Online:2012-11-25 Published:2017-07-25
Supported by:
The National Natural Science Foundation of China;The Next Generation Broadband Wireless Mobile Telecommunications Networks National Science and Technology Major Project

摘要/Abstract

摘要：

针对现有方案在系统服务等级约束下可能会降低认知无线网络可达业务负荷的问题，提出了一种新的频谱共享机制以提高系统服务等级约束下具有异构业务的认知无线网络可达业务负荷。该机制的主要思想是根据实时业务和非实时业务的不同延时特性，分别引入剥夺优先权和缓冲队列，进而同时减小异构次用户呼叫的强制中断概率和阻塞概率。仿真结果表明，所提机制能有效提高系统服务等级约束下认知无线网络的可达业务负荷。

关键词: 认知无线网络, 系统服务等级, 可达业务负荷, 异构业务

Abstract:

To improve the achievable traffic load of secondary user(SU) under grade of service (GoS) constraints in cognitive wireless networks with heterogeneous traffic,a novel spectrum sharing scheme was proposed.The key idea of the proposed scheme was to introduce preemptive priority and buffering mechanism for real-time traffic and non-real-time traffic,respectively,according to their different delay characteristics.The proposed scheme could reduce the forced termination probability and the blocking probability for heterogeneous calls simultaneously.Numerical results show that the proposed scheme can effectively improve the achievable traffic load of SUs under GoS constraints.

Key words: cognitive wireless network, GoS, achievable traffic load, heterogeneous traffic

余亮,江涛,曹洋. 系统服务等级约束下提高认知无线网络可达业务负荷的研究[J]. 通信学报, 2012, 33(11): 24-32.

Liang YU,Tao JIANG,Yang CAO. Improving achievable traffic load of cognitive wireless networks under GoS constraints[J]. Journal on Communications, 2012, 33(11): 24-32.

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参考文献 11

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系统服务等级约束下提高认知无线网络可达业务负荷的研究

Improving achievable traffic load of cognitive wireless networks under GoS constraints

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