Large-scale Hybrid Testbed for Cognitive Radio Networks by Real-and-Virtual Execution

2007 ◽  
Author(s):  
Masahiro Kuroda ◽  
Kentaro Ishizu ◽  
Goh Miyamoto ◽  
Yoshia Saito
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Large Scale ◽  
Radio Networks ◽  
Virtual Execution

Cooperative spectrum estimation over large‐scale cognitive radio networks

2017 ◽  
Vol 11 (8) ◽  
pp. 1006-1014 ◽  
Author(s):  
Mojtaba Hajiabadi ◽  
Hossein Khoshbin ◽  
Ghosheh Abed Hodtani
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Large Scale ◽  
Radio Networks ◽  
Spectrum Estimation

scholarly journals Secrecy Analysis of Cognitive Radio Networks over Generalized Fading Channels

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jiangfeng Sun ◽  
Zhisong Bie ◽  
Hongxia Bie ◽  
Pengfei He ◽  
Machao Jin
Keyword(s):  
Cognitive Radio ◽  
Fading Channels ◽  
Communication Networks ◽  
Cognitive Radio Networks ◽  
Large Scale ◽  
Security Analysis ◽  
Fast Response ◽  
Radio Networks ◽  
Theoretical Formula ◽  
Large Bandwidth

At present, the fifth generation (5G) communication networks are in the time of large-scale deployment principally because its characteristics consists of large bandwidth, fast response, and high stability. As a partner of 5G, the Internet of Things (IoT) involves billions of devices around the world, which can make the wireless communication environment more intelligent and convenient. However, the problem that cannot be ignored is the physical layer security of 5G-IoT networks. Based on this, we perform a security analysis of cognitive radio networks (CRN) for IoT, where the CRN is the single-input multiple-output (SIMO) model experiencing κ-μ shadowed fading with multiple eavesdroppers. To analyze the confidentiality of the system under consideration, we analyze the security performance for the considered IoT systems with the help of the derived secure outage probability (SOP) and probability of strictly positive secrecy capacity (SPSC). As a verification of the theoretical formula, Monte Carlo simulation is also provided. The results of great interest are the factors that can produce better security performance in high SNRs region which consist of smaller M, smaller k, and larger N, and larger μ, smaller IP, and smaller Rth.

scholarly journals Spectrum Mapping in Large-Scale Cognitive Radio Networks With Historical Spectrum Decision Results Learning

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 21350-21358 ◽  
Author(s):  
Xin-Lin Huang ◽  
Yu Gao ◽  
Xiao-Wei Tang ◽  
Shao-Bo Wang
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Large Scale ◽  
Radio Networks ◽  
Spectrum Decision
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