DocumentCode :
715433
Title :
Compute-and-forward using nested linear codes for the Gaussian MAC
Author :
Jingge Zhu ; Gastpar, Michael
Author_Institution :
Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fYear :
2015
fDate :
April 26 2015-May 1 2015
Firstpage :
1
Lastpage :
5
Abstract :
The classical modulo-lattice construction of Erez et al. has been successfully applied to several coding problems under Gaussian noise, including coding for computation over multiple-access channels (MAC). For the latter problem, an alternative construction can be developed by extending a recently proposed nested linear code to Gaussian case. In this note, it is shown that using the nested linear code with judiciously chosen input distributions, the original compute-and-forward result is recovered and larger computation rates are achievable. In particular we show that the Gaussian input distribution is not optimal in general for the computation problem over Gaussian MAC. Among other results, new achievable rates for the Gaussian two-way relay channel (TWRC) are given.
Keywords :
AWGN channels; Gaussian distribution; channel coding; linear codes; multi-access systems; relay networks (telecommunication); wireless channels; Gaussian MAC; Gaussian distribution; Gaussian multiple access channel; Gaussian noise; Gaussian two-way relay channel; TWRC; compute-and-forward; modulo-lattice construction; nested linear code; Convolution; Decoding; Gaussian distribution; Linear codes; Probability distribution; Random variables; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop (ITW), 2015 IEEE
Conference_Location :
Jerusalem
Print_ISBN :
978-1-4799-5524-4
Type :
conf
DOI :
10.1109/ITW.2015.7133094
Filename :
7133094
Link To Document :
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