Power Allocation of Relay Selection in Coordinated Channel Based on Channel Statistical Information

2014 ◽  
Vol 543-547 ◽  
pp. 796-799
Author(s):  
Yi Tian
Keyword(s):  
Relay Selection ◽  
Search Algorithm ◽  
Relay Node ◽  
Statistical Information ◽  
Relay Network ◽  
Selection Algorithm ◽  
Amplify And Forward ◽  
Relay Selection Algorithm ◽  
Full Search ◽  
Better Than

In order to balance between optimality and operation efficiency of relay selection algorithm, an efficient relay selection algorithm has been raised based on bit error rate (BER) in an amplify-and-forward (AF) collaborated relay network. The algorithm, based on characters of channel statistical information and system BER, adds gain parameter of equivalent channel, sets SNR as threshold, select relay node assembly in the condition of same power, so as to minimize system BER. This algorithm has equal performance with Full Search Algorithm but with simpler calculation. Performance of the relay selection calculation BER is better than other algorithm by forwarding and preselecting an optimal relay node.

Power Allocation and Relay Selection Algorithm in Multi-Relay Amplify-and-Forward Networks

2014 ◽  
Vol 513-517 ◽  
pp. 3423-3428
Author(s):  
Zhi Kang Zhou ◽  
Qi Zhu
Keyword(s):  
Power Allocation ◽  
Relay Selection ◽  
Relay Network ◽  
Total Power ◽  
Selection Algorithm ◽  
Amplify And Forward ◽  
Power Constraint ◽  
Lower Complexity ◽  
Relay Selection Algorithm ◽  
The Ideal

In this paper, an amplify-and-forward (AF) multi-relay network is considered. In order to minimize the system outage probability, a new power allocation and multi-relay selection algorithm is proposed under total power constraint and each node power constraint. In the proposed algorithm, the ideal of ordering is adopted, which leads to the remarkable decrease of the computation complexity together with simple power reallocation. Simulation results show that the proposed multi-relay selection algorithm performs close to the optimal scheme with optimal power allocation and exhaustive search (OPA-ES) but with much lower complexity.

Relay Selection Algorithm for Cognitive Relay Network

2017 ◽  
Vol 96 (4) ◽  
pp. 6183-6195
Author(s):  
Yong Jin ◽  
Yunshan Hou ◽  
Zhentao Hu ◽  
Xianxing Liu
Keyword(s):  
Relay Selection ◽  
Relay Network ◽  
Selection Algorithm ◽  
Cognitive Relay Network ◽  
Relay Selection Algorithm

On Performance of Combining Methods for Three-Node Relay Network

2012 ◽  
Vol 263-266 ◽  
pp. 1160-1164
Author(s):  
Wen Yuan Rao
Keyword(s):  
Relay Network ◽  
Estimation Accuracy ◽  
Diversity Order ◽  
Amplify And Forward ◽  
Decode And Forward ◽  
Channel Quality ◽  
Combining Methods ◽  
Better Than

We study the performance of the three-node relay network. Three combining methods for the Amplify-and-Forward (AF) protocol and the Decode-and-Forward (DF) protocol are compared. Simulations indicate that the AF protocol is better than DF under all these three combining methods. To combine the incoming signals the channel quality should be estimated as accuracy as possible, more estimation accuracy requires more resource. A very simple combining method can obtain the performance comparative with optimal combining methods approximately. At the same time, all three combining methods for both diversity protocols can achieve the maximum diversity order.

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