scholarly journals Secrecy Rate Optimization for RF Powered Two-Hop Untrusted Relay Networks with Non-Linear EH Model

2020 ◽  
Vol E103.A (1) ◽  
pp. 215-220
Author(s):  
Xiaochen LIU ◽  
Yuanyuan GAO ◽  
Nan SHA ◽  
Guozhen ZANG ◽  
Kui XU
Keyword(s):  
Relay Networks ◽  
Secrecy Rate ◽  
Non Linear ◽  
Rate Optimization ◽  
Untrusted Relay

scholarly journals Machine Learning-Based Antenna Selection in Untrusted Relay Networks

2019 ◽  
Author(s):  
Rugui Yao ◽  
Yuxin Zhang ◽  
Nan Qi ◽  
Theodoros A. Tsiftsis
Keyword(s):  
Machine Learning ◽  
Antenna Selection ◽  
Relay Networks ◽  
Support Vector ◽  
Secrecy Outage Probability ◽  
Secrecy Rate ◽  
Transmit Antenna Selection ◽  
K Nearest Neighbors ◽  
Selection Scheme ◽  
Untrusted Relay

This paper studies the transmit antenna selection based on machine learning (ML) schemes in untrusted relay networks. First, we state the conventional antenna selection scheme. Then, we implement three ML schemes, namely, the support vector machine-based scheme, the naive-Bayes-based scheme, and the k-nearest neighbors-based scheme, which are applied to select the best antenna with the highest secrecy rate. The simulation results are presented in terms of system secrecy rate and secrecy outage probability. From the simulation, we can conclude that the proposed ML-based antenna selection schemes can achieve the same performance without amplification at the relay, or small performance degradation with transmitted power constraint at the relay, comparing with conventional schemes. However, when the training is completed, the proposed schemes can perform the antenna selection with a small computational complexity.

scholarly journals Secrecy Analysis of Multiuser Untrusted Amplify-and-Forward Relay Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Dan Deng ◽  
Xutao Li ◽  
Lisheng Fan ◽  
Wen Zhou ◽  
Rose Qingyang Hu ◽  
...  
Keyword(s):  
Asymptotic Expression ◽  
Information Leakage ◽  
Relay Node ◽  
Relay Networks ◽  
Destination Node ◽  
Amplify And Forward ◽  
Secrecy Rate ◽  
Close Form ◽  
The Impact ◽  
Untrusted Relay

This paper investigates the secure communications of multiuser untrusted amplify-and-forward relay networks in the presence of direct links. In the considered system, one user is selected among multiple ones for secure transmission to the destination node with the help of an untrusted relay node. To reduce the information leakage to the untrusted relay, the paper considers two selection criteria to select the user based on the direct and the relaying links, respectively. The impact of direct and the relaying link on the system secrecy performance is studied by deriving the close-form ergodic secrecy rate (ESR) as well as the asymptotic expression. From the asymptotic expression, it can be found that the asymptotic ESR increases linearly with the logarithm of the average channel gain ratio of the direct link to the relaying link.

Hybrid protocol for wireless-powered untrusted relay networks with imperfect channel reciprocity

2021 ◽  
Vol 18 (9) ◽  
pp. 116-129
Author(s):  
Rui Ma ◽  
Haowei Wu ◽  
Liubin Wang ◽  
Jinglan Ou ◽  
Lian Yan
Keyword(s):  
Relay Networks ◽  
Untrusted Relay ◽  
Channel Reciprocity

Secure NOMA and OMA coordinated transmission schemes in untrusted relay networks

2021 ◽  
Vol 64 (10) ◽  
Author(s):  
Lu Lv ◽  
Zan Li ◽  
Haiyang Ding ◽  
Jian Chen
Keyword(s):  
Relay Networks ◽  
Untrusted Relay

scholarly journals Joint optimization of beamforming and power allocation for DAJ-based untrusted relay networks

ETRI Journal ◽  
2018 ◽  
Vol 40 (6) ◽  
pp. 714-725
Author(s):  
Rugui Yao ◽  
Yanan Lu ◽  
Tamer Mekkawy ◽  
Fei Xu ◽  
Xiaoya Zuo
Keyword(s):  
Power Allocation ◽  
Relay Networks ◽  
Joint Optimization ◽  
Untrusted Relay
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