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

页码：62 / 65

页数：4

共 41 条

[31] Modeling and Performance Analysis of Cognitive Radio Networks Using Stochastic Timed Colored Petri Nets [J].

Boukredera, Djamila ;

Adel-Aissanou, Karima .

WIRELESS PERSONAL COMMUNICATIONS, 2020, 112 (03) :1659-1687

[32] Modeling and Performance Analysis of Cognitive Radio Networks Using Stochastic Timed Colored Petri Nets [J].

Djamila Boukredera ;

Karima Adel-Aissanou .

Wireless Personal Communications, 2020, 112 :1659-1687

[33] Analysis of Channel Access Delay in CR-MAC Protocol for Ad Hoc Cognitive Radio Wireless Sensor Networks without a Common Control Channel [J].

Joshi, Gyanendra Prasad ;

Nam, Seung Yeob ;

Acharya, Srijana ;

Kim, Sung Won .

KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2014, 8 (03) :911-923

[34] ANALYTICAL MODELLING AND PERFORMANCE ANALYSIS FOR WIRELESS AD-HOC NETWORKS USING FOUR-WAY HANDSHAKING MECHANISM [J].

Khayyat, Khalid M. J. ;

Gebali, Fayez .

2009 IEEE 22ND CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1 AND 2, 2009, :298-302

[35] Performance Analysis of Different Opportunistic Spectrum Access Based on Secondary Users Priority Using licensed Channels in Cognitive Radio Networks [J].

El-Toukhey, Ahmed T. ;

Ammar, Abdelhady A. ;

Tantawy, Mohsen M. ;

Tarrad, Ibrahim F. .

2017 34TH NATIONAL RADIO SCIENCE CONFERENCE (NRSC), 2017, :160-169

[36] Fuzzy Rough Set Inspired Rate Adaptation and resource allocation using Hidden Markov Model (FRSIRA-HMM) in mobile ad hoc networks [J].

R. Suganya ;

L. S. Jayashree .

Cluster Computing, 2019, 22 :9875-9888

[37] Fuzzy Rough Set Inspired Rate Adaptation and resource allocation using Hidden Markov Model (FRSIRA-HMM) in mobile ad hoc networks [J].

Suganya, R. ;

Jayashree, L. S. .

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 4) :S9875-S9888

[38] Joint spectrum sensing and D2D communications in Cognitive Radio Networks using clustering and deep learning strategies under SSDF attacks [J].

Paul, Anal ;

Choi, Kwonhue .

AD HOC NETWORKS, 2023, 143

[39] Development of secured data transmission using machine learning-based discrete-time partially observed Markov model and energy optimization in cognitive radio networks [J].

S. Vimal ;

L. Kalaivani ;

M. Kaliappan ;

A. Suresh ;

Xiao-Zhi Gao ;

R. Varatharajan .

Neural Computing and Applications, 2020, 32 :151-161

[40] Development of secured data transmission using machine learning-based discrete-time partially observed Markov model and energy optimization in cognitive radio networks [J].

Vimal, S. ;

Kalaivani, L. ;

Kaliappan, M. ;

Suresh, A. ;

Gao, Xiao-Zhi ;

Varatharajan, R. .

NEURAL COMPUTING & APPLICATIONS, 2020, 32 (01) :151-161

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