Title
A Cyclic Shift Relaying Scheme for Asynchronous Two-way Relay Networks
Abstract
Perfect time synchronization among multiple relay nodes is quite difficult to realize in distributed relay networks. In this paper, we proposed a cyclic prefix (CP) assisted cyclic shift relaying (CFR) scheme for asynchronous two-way amplify-and-forward (AF) relay networks over flat fading channels. In the proposed scheme, a CP is inserted at the two source nodes to combat the asynchronous delays. Each relay amplifies the received mixed asynchronous signals after CP removal, and a cyclic delay is introduced to further improve the system performance. With the CP and the cyclic delay, the multiple flat fading relay channels are transformed into a multipath fading channel. As a result, low complexity frequency domain equalizers, such as zero-forcing and minimum mean square error (MMSE) equalizer, can be used to recover the transmit signal. Furthermore, the performance of the proposed CFR scheme with MMSE equalizer is analyzed and closed-form expression for the lower bound of uncoded bit error rate (BER) performance is derived. Based upon this lower bound, we also investigate the power allocation among the sources and the relays to improve the system performance. Finally, extensive numerical results are provided to show the BER and frame error rate performance of the proposed CFR scheme.
Year
DOI
Venue
2013
10.1007/s11277-012-0975-x
Wireless Personal Communications
Keywords
Field
DocType
asynchronous two-way relay networks,proposed cfr scheme,system performance,frame error rate performance,cyclic delay,cyclic shift relaying scheme,asynchronous delay,proposed scheme,cp removal,cyclic prefix,cyclic shift relaying,asynchronous two-way amplify-and-forward
Multipath propagation,Relay channel,Asynchronous communication,Topology,Cyclic prefix,Control theory,Fading,Computer science,Computer network,Minimum mean square error,Relay,Bit error rate
Journal
Volume
Issue
ISSN
71
4
1572-834X
Citations 
PageRank 
References 
1
0.35
16
Authors
4
Name
Order
Citations
PageRank
Zhaoxi Fang115819.52
Feng Liang221.38
Shaozhong Zhang394.89
Tao Peng410.69