A low complexity approach of combining cooperative diversity and multiuser diversity in multiuser cooperative networks

In this paper, we investigate the scheduling scheme to combine cooperative diversity (CD) and multiuser diversity (MUD) in multiuser cooperative networks under the time resource allocation (TRA) framework in which the whole transmission is divided into two phases: the broadcast phase and the relay p...

Full description

Bibliographic Details
Main Authors: Lv, Tiejun (Author), Zhang, Zhang (Author), Yang, Shaoshi (Author)
Format: Article
Language:English
Published: 2013-12.
Subjects:
Online Access:Get fulltext
LEADER 01615 am a22001453u 4500
001 344552
042 |a dc 
100 1 0 |a Lv, Tiejun  |e author 
700 1 0 |a Zhang, Zhang  |e author 
700 1 0 |a Yang, Shaoshi  |e author 
245 0 0 |a A low complexity approach of combining cooperative diversity and multiuser diversity in multiuser cooperative networks 
260 |c 2013-12. 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/344552/1/06620969.pdf 
520 |a In this paper, we investigate the scheduling scheme to combine cooperative diversity (CD) and multiuser diversity (MUD) in multiuser cooperative networks under the time resource allocation (TRA) framework in which the whole transmission is divided into two phases: the broadcast phase and the relay phase. The broadcast phase is for direct transmission whereas the relay phase is for relay transmission. Based on this TRA framework, a user selection based low complexity relay protocol (US-LCRP) is proposed to combine CD and MUD. In each time slot (TS) of the broadcast phase, a "best" user is selected for transmission in order to obtain MUD. In the relay phase, the relays forward the messages of some specific users in a fixed order and then invoke the limited feedback information to achieve CD. We demonstrate that the diversity-multiplexing tradeoff (DMT) of the US-LCRP is superior to that of the existing schemes, where more TSs are allocated for direct transmission in order to jointly exploit CD and MUD. Our analytical and numerical results show that the US-LCRP constitutes a more efficient resource utilization approach than the existing schemes. 
655 7 |a Article