DocumentCode
2117963
Title
Constructing convolutional lattices and its application in Compute and Forward
Author
Molu, Mehdi M. ; Burr, Alister
Author_Institution
Dept. of Electronics, University of York, UK
fYear
2015
fDate
8-12 June 2015
Firstpage
2187
Lastpage
2193
Abstract
Constructing lattices from convolutional codes based on Construction A is studied; analogous to Construction A, a single layer code lattice is proposed in this paper which outperforms Construction A. As an application for the proposed convolutional lattices, they are exploited in a multi-user relay network where the relay node employs Compute and Forward as its relaying function. We adopt the BCJR algorithm for lattice decoding convoutional lattices; moreover, as the BCJR algorithm requires the knowledge of the statistical characteristics of modulo lattice additive noise (MLAN), the probability density function of MLAN is derived in closed form.
Keywords
Convolution; Convolutional codes; Generators; Lattices; Maximum likelihood decoding; Quantization (signal);
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Workshop (ICCW), 2015 IEEE International Conference on
Conference_Location
London, United Kingdom
Type
conf
DOI
10.1109/ICCW.2015.7247506
Filename
7247506
Link To Document