Rate-estimation-based relay selection scheme for large-scale wireless networks

2016 ◽  
Vol 10 (12) ◽  
pp. 1501-1507 ◽  
Author(s):  
Nguyen Bach Long ◽  
Dong-Seong Kim ◽  
Tran Nhon
2020 ◽  
Vol 10 (15) ◽  
pp. 5252
Author(s):  
Min-Jae Paek ◽  
Yu-Jin Na ◽  
Won-Seok Lee ◽  
Jae-Hyun Ro ◽  
Hyoung-Kyu Song

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.


2018 ◽  
Vol 127 ◽  
pp. 13-19 ◽  
Author(s):  
Li Guo ◽  
Zhiliang Zhu ◽  
Francis C.M. Lau ◽  
Yuli Zhao ◽  
Hai Yu

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 23089-23099
Author(s):  
Waseem Raza ◽  
Nadeem Javaid ◽  
Hina Nasir ◽  
Khursheed Aurangzeb ◽  
Zahoor Ali Khan ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2565 ◽  
Author(s):  
Kai Liu ◽  
Rui Wang ◽  
Caizhao Yue ◽  
Feng Liu ◽  
Tao Lu ◽  
...  

Cooperative communication improves the link throughput of wireless networks through spatial diversity. However, it reduces the frequency reuse of the entire network due to the enlarged link interference range introduced by each helper. In this paper, we propose a cooperative medium access control (MAC) protocol with optimal relay selection (ORS-CMAC) for multihop, multirate large scale networks, which can reduce the interference range and improve the network throughput. Then, we investigate the performance gain achieved by these two competitive factors, i.e., the spatial frequency reuse gain and spatial diversity gain, in large scale wireless networks. The expressions of maximum network throughput for direct transmissions and cooperative transmissions in the whole network are derived as a function of the number of concurrent transmission links, data packet length, and average packet transmission time. Simulation results validate the effectiveness of the theoretical results. The theoretical and simulation results show that the helper can reduce the spatial frequency reuse slightly, and spatial diversity gain can compensate for the decrease of the spatial frequency reuse, thereby improving the network throughput from the viewpoint of the whole network.


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