A cooperative communication in wireless networks based on best relay selection: 4

2008 ◽  
Author(s):  
C.P. Singh ◽  
P. Garg
Keyword(s):  
Wireless Networks ◽  
Cooperative Communication ◽  
Relay Selection ◽  
Best Relay Selection

Secure Cooperative Communication with Nth Best Relay Selection

2014 ◽  
Author(s):  
Xinjie Wang ◽  
Hao Zhang ◽  
Trung Q. Duong ◽  
Maged Elkashlan ◽  
Vo Nguyen Quoc Bao
Keyword(s):  
Cooperative Communication ◽  
Relay Selection ◽  
Best Relay Selection

scholarly journals Security Performance Analysis for Best Relay Selection in Energy-Harvesting Cooperative Communication Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 26-36 ◽  
Author(s):  
Guangna Zhang ◽  
Yuanyuan Gao ◽  
Huadong Luo ◽  
Shijie Wang ◽  
Mingxi Guo ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Energy Harvesting ◽  
Communication Networks ◽  
Cooperative Communication ◽  
Relay Selection ◽  
Best Relay Selection

scholarly journals A Novel Relay Selection Scheme Based on Q-Learning in Multi-Hop Wireless Networks

2020 ◽  
Vol 10 (15) ◽  
pp. 5252
Author(s):  
Min-Jae Paek ◽  
Yu-Jin Na ◽  
Won-Seok Lee ◽  
Jae-Hyun Ro ◽  
Hyoung-Kyu Song
Keyword(s):  
Wireless Networks ◽  
Cooperative Communication ◽  
Optimal Policy ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Relay Selection ◽  
Large Scale ◽  
Base Station ◽  
Selection Scheme ◽  
Q Learning

In wireless communication systems, reliability, low latency and power are essential in large scale multi-hop environment. Multi-hop based cooperative communication is an efficient way to achieve goals of wireless networks. This paper proposes a relay selection scheme for reliable transmission by selecting an optimal relay. The proposed scheme uses a signal-to-noise ratio (SNR) based Q-learning relay selection scheme to select an optimal relay in multi-hop transmission. Q-learning consists of an agent, environment, state, action and reward. When the learning is converged, the agent learns the optimal policy which is a rule of the actions that maximize the reward. In other words, the base station (BS) knows the optimal relay to select and transmit the signal. At this time, the cooperative communication scheme used in this paper is a decode-and-forward (DF) scheme in orthogonal frequency division multiplexing (OFDM) system. The Q-learning in the proposed scheme defines an environment to maximize a reward which is defined as SNR. After the learning process, the proposed scheme finds an optimal policy. Furthermore, this paper defines a reward which is based on the SNR. The simulation results show that the proposed scheme has the same bit error rate (BER) performance as the conventional relay selection scheme. However, this paper proposes an advantage of selecting fewer relays than conventional scheme when the target BER is satisfied. This can reduce the latency and the waste of resources. Therefore, the performance of the multi-hop transmission in wireless networks is enhanced.

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