Symbol Timing Estimation for Physical-Layer Network Coding

Author

Xiaoyu Dang ; Qiang Li ; Xiangbin Yu

Author_Institution

Dept. of Electron. Inf. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

Volume

19

Issue

5

fYear

2015

fDate

42125

Firstpage

755

Lastpage

758

Abstract

Recently, physical-layer network coding (PNC) has attracted much attention due to its ability to double the throughput in relay-aided communications. However, most research in PNC assumes that the symbol timings of the end nodes are ideally aligned. In fact, they have to be recovered accurately at the relay. In this letter, we present a novel symbol timing error estimator for PNC. It is shown that accurate error estimates can be obtained by the interpolation algorithm based on a small-size Discrete Fourier Transformation (DFT). The Mean Square Error (MSE) performance is one order of magnitude better than that of the conventional maximum likelihood based optimum sample (OS) algorithm for signal-to-noise ratio (SNR) greater than 10 dB.

Keywords

discrete Fourier transforms; error statistics; interpolation; maximum likelihood estimation; mean square error methods; network coding; relay networks (telecommunication); DFT; MSE performance; OS; PNC; SNR; end nodes; interpolation algorithm; maximum likelihood based optimum sample algorithm; mean square error performance; physical-layer network coding; relay-aided communications; signal-to-noise ratio; small-size discrete Fourier transformations; symbol timing estimation; Bandwidth; Interpolation; Mean square error methods; Network coding; Relays; Timing; Training; PNC; Two-way relay network; symbol timing estimation;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2015.2412931

Filename

7060637