Paper Info
Title
Improved GA solution on LNC coefficient matrix for multi-user cooperative communication
Abstract
Cooperative communication with network coding can yield higher system diversity gain and improve the efficiency of cooperation, for which designing the proper and efficient coding coefficients is one key technique for implementation. The important contributions of our work reveal the existence of coding coefficient matrix of order M constructed in GF(M = 2n) and propose practical and effective method to search such matrix. An improved genetic algorithm solution is proposed by introducing the local gradient search mechanism for large searching space and the search results show that the proposed method can obtain satisfying solutions and better computing performance for M = 8 in GF(8). The discussion on improved local gradient search mechanism illustrates its underlying potentials in global search framework. This work gains an insight into the coefficient matrix construction for cooperative communication with network coding in GF(2n).
Year
DOI
Venue
2012
10.1109/PIMRC.2012.6362895
PIMRC
Keywords
Field
DocType
genetic algorithm solution,diversity reception,cooperative communication,ga solution,coefficient matrix coding,search problems,lnc coefficient matrix,genetic algorithms,multiuser cooperative communication,local gradient search mechanism,system diversity,network coding,sociology,algorithm design and analysis,statistics,encoding
Linear network coding,Diversity gain,Mathematical optimization,Coefficient matrix,Algorithm design,Matrix (mathematics),Computer science,Coding (social sciences),Genetic algorithm,Encoding (memory)
Conference
Volume
Issue
ISSN
null
null
2166-9570 E-ISBN : 978-1-4673-2568-4
ISBN
Citations 
PageRank 
978-1-4673-2568-4
3
0.47
References 
Authors
7
4
Name
Order
Citations
PageRank
Sihai Zhang16319.50
Yuan Liu210011.86
Ming Zhao3469.53
Wuyang Zhou422647.51