Title
Enhanced Cooperative Relaying Transmission for LTE-Advanced System
Abstract
Relay has been identified as a fundamental feature in LTE-Advanced in order to achieve LTE-A requirements. The conventional straightforward relaying scheme named decode-and-forward (DF) protocol is used at relay station (RS) to decode the data received from mobile station (MS) and forward the decoded data to the base station (BS) to improve the spatial diversity gain. It is not efficient and optimal since the traditional DF scheme has not considered the unequal bit reliability within each QAM symbols. In this paper, a bit rearrangement technique is used at RS to improve the performance of the cooperative relaying system, in which the bit remapping employed at RS is different from the one used at MS. At BS, the soft information combining technique with maximum a posteriori (MAP) is used to demodulate the data before turbo decoding. Simulation results show that the proposed cooperative transmission scheme obtains a significant performance gain in terms of block error rate (BLER) compared to the traditional DF relaying scheme.
Year
DOI
Venue
2013
10.1109/VTCFall.2013.6692188
VTC Fall
Keywords
Field
DocType
base station,relay networks (telecommunication),turbo codes,protocols,mobile station,diversity reception,decode and forward communication,cooperative relaying transmission enhancement,bit remapping,maximum likelihood estimation,turbo decoding,qam symbols,performance improvement,block error rate,bler,soft information combining technique,spatial diversity gain improvement,df scheme,quadrature amplitude modulation,decode- and-forward protocol,long term evolution,bit rearrangement technique,relay station,maximum a posteriori,lte-advanced system,map
Base station,Antenna diversity,Block Error Rate,Quadrature amplitude modulation,Mobile station,Computer science,Turbo code,Electronic engineering,Relay,LTE Advanced
Conference
Volume
Issue
ISSN
null
null
1090-3038
Citations 
PageRank 
References 
0
0.34
7
Authors
6
Name
Order
Citations
PageRank
Yan Meng100.34
Wei Ni200.34
Qi Jiang300.34
Chaojun Xu461.28
Zhilan Xiong5163.52
Bei Jia610.72