Paper Info
Title
A code-aided iterative receiver applied to AF two-way relay MC-CDMA systems
Abstract
In this paper, a code-aided maximum likelihood (ML) iterative algorithm is proposed for amplify-and-forward (AF) two-way relay multicarrier code division multiple access (MC-CDMA) systems. The system which consists of two source terminals and a relay node works with a two-phase protocol. In order to estimate the cascaded channel and reliably detect the data from the other terminal, the estimator utilizes the log-likelihood ratio (LLR) value from the decoder as posteriori probabilities for the next estimation, and the decoder will re-decode the information based on the new channel state information (CSI), thus the cycle continues until a stable state is obtained. Simulation results demonstrate that an impressive improvement can be obtained compared with the training-based method, and the proposed algorithm converges with a fast speed1.
Year
DOI
Venue
2013
10.1109/WCSP.2013.6677175
WCSP
Keywords
Field
DocType
relay networks (telecommunication),channel state information,code-aided maximum likelihood iterative algorithm,maximum likelihood decoding,protocols,relay node,log-likelihood ratio,mc-cdma systems,code-aided ml estimator,code-aided iterative receiver,code division multiple access,two-phase protocol,source terminals,two-way relay network (twrn),iterative estimation,amplify-and-forword (af),amplify and forward communication,iterative methods,channel estimation,amplify-and-forward two-way relay multicarrier code division multiple access systems
Relay channel,Computer science,Iterative method,Communication channel,Real-time computing,Code division multiple access,Code (cryptography),Relay,Estimator,Channel state information
Conference
ISSN
Citations 
PageRank 
2325-3746
0
0.34
References 
Authors
13
5
Name
Order
Citations
PageRank
Zhebo Wang100.34
Jie Zhong2346.99
Yunlong Cai323825.39
Minjian Zhao411827.18
Boya Qin5193.38