scholarly journals Machine Learning-Based Relay Selection for Secure Transmission in Multi-Hop DF Relay Networks

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 949 ◽  
Author(s):  
Tien-Tung Nguyen ◽  
Jong-Ho Lee ◽  
Minh-Tuan Nguyen ◽  
Yong-Hwa Kim
Keyword(s):  
Machine Learning ◽  
Relay Selection ◽  
Computation Time ◽  
Selection Method ◽  
Decode And Forward ◽  
Channel State ◽  
Best Relay Selection ◽  
Cooperative Relays ◽  
Relaying Systems ◽  
Secure Transmission

A relay selection method is proposed for physical-layer security in multi-hop decode-and-forward (DF) relaying systems. In the proposed method, cooperative relays are selected to maximize the achievable secrecy rates under DF-relaying constraints by the classification method. Artificial neural networks (ANNs), which are used for machine learning, are applied to classify the set of cooperative relays based on the channel state information of all nodes. Simulation results show that the proposed method can achieve near-optimal performance for an exhaustive search method for all combinations of relay selection, while computation time are reduced significantly. Furthermore, the proposed method outperforms the best relay selection method, in which the best relay in terms of secrecy performance is selected among active ones.

scholarly journals Bit error rate of underlay decode-and-forward cognitive networks with best relay selection

2015 ◽  
Vol 17 (2) ◽  
pp. 162-171 ◽  
Author(s):  
Khuong Ho-Van ◽  
Paschalis C. Sofotasios ◽  
George C. Alexandropoulos ◽  
Steven Freear
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Relay Selection ◽  
Cognitive Networks ◽  
Decode And Forward ◽  
Best Relay Selection

scholarly journals Coverage Analysis of Millimeter Wave Decode-and-Forward Networks With Best Relay Selection

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 22670-22683 ◽  
Author(s):  
Khagendra Belbase ◽  
Zhang Zhang ◽  
Hai Jiang ◽  
Chintha Tellambura
Keyword(s):  
Millimeter Wave ◽  
Relay Selection ◽  
Decode And Forward ◽  
Best Relay Selection ◽  
Coverage Analysis

scholarly journals Secrecy Performance of Underlay Cooperative Cognitive Network Using Non-Orthogonal Multiple Access with Opportunistic Relay Selection

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 385 ◽  
Author(s):  
Tan-Phuoc Huynh ◽  
Pham Ngoc Son ◽  
Miroslav Voznak
Keyword(s):  
Fading Channels ◽  
Relay Selection ◽  
Multiple Access ◽  
Source Node ◽  
Secrecy Outage Probability ◽  
Decode And Forward ◽  
Cognitive Network ◽  
Best Relay Selection ◽  
Secrecy Outage ◽  
Outage Probabilities

In this paper, an underlay cooperative cognitive network using a non-orthogonal multiple access (UCCN-NOMA) system is investigated, in which the intermediate multiple relays help to decode and forward two signals x 1 and x 2 from a source node to two users D1 and D2, respectively, under wiretapping of an eavesdropper (E). We study the best relay selection strategies by three types of relay selection criteria: the first and second best relay selection is based on the maximum channel gain of the links R i -D 1 , R i -D2, respectively; the third one is to ensure a minimum value of the channel gains from the R i -E link. We analyze and evaluate the secrecy performances of the transmissions x 1 and x 2 from the source node to the destination nodes D1, D2, respectively, in the proposed UCCN-NOMA system in terms of the secrecy outage probabilities (SOPs) over Rayleigh fading channels. Simulation and analysis results are presented as follows. The results of the (sum) secrecy outage probability show that proposed scheme can realize the maximal diversity gain. The security of the system is very good when eavesdropper node E is far from the source and cooperative relay. Finally, the theoretical analyses are verified by performing Monte Carlo simulations.

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