PERFORMANCE ANALYSIS FOR AD HOC COGNITIVE RADIO NETWORKS USING LOW COMPLEXITY 2D MARKOV MODEL

被引：0
|
作者：
Jiang, Tigang [1 ]
Wang, Honggang [1 ,2 ]
Wang, Wei [3 ]
机构：
[1] Univ Elect & Sci Technol China, Sch Commun & Informat Engn, Chengdu, Sichuan, Peoples R China
[2] Univ Massachusetts, Elect & Comp Engn Dept, Dartmouth, NS, Canada
[3] San Diego State Univ, Dept Comp Sci, San Diego, CA 92182 USA
来源：
PROCEEDINGS OF 2016 5TH IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC 2016) | 2016年
关键词：
Cognitive radio networks; spectrum access; channel allocation; ad hoc networks;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the 3-D Markov analytical model for cognitive radio networks of [1] are replaced by out proposed new 2-D Markov analytical model with considerable low complexity to evaluate the performance of Ad Hoc Cognitive Radio Networks, and the theory mistakes of [1] are corrected. Compared with the existing 3-D Markov analytical model for cognitive radio networks, our approach has achieved the base performance with the low complexity. The numerical analysis and simulation show that the analytic model is accurate and compatible with the simulation results.
引用
收藏
页码：62 / 65
页数：4
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