Title
A Sequential Assisted Relay Selective Scheme Based On The Stochastic Dynamic Programming
Abstract
Relay assisted (RA) network with the assisted relay selection is a kind of effective method to improve the channel capacity and converge performance. Ilowever, most of the existing research about the assisted relay selection did not consider the statical channel information and the selective cost. This shortage limited the performance and application of RA network in practical scenario. In order to overcome this drawback, a sequential assisted relay selective scheme (ARSS) is proposed. And the performance upper bound (UB) of ARSS is also analyzed. Furthermore, in order to make ARSS more practical, a determination algorithm of the assisted relay selective threshold based on the stochastic dynamic program (SDP) is given to work with ARSS. Numerical results indicate that the performance of ARSS with SDP is close to the performance UB of ARSS effectively.
Year
Venue
Field
2017
2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)
Mathematical optimization,Effective method,Computer science,Upper and lower bounds,Signal-to-noise ratio,Communication channel,Economic shortage,Stochastic programming,Channel capacity,Relay
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Rui Zhu12815.36
YangChao Huang234.10
Lei Jiang334.13
Hua Xu400.68
Xihao Chen501.01