Capacity optimality of lattice codes in common message Gaussian broadcast channels with coded side information

Natarajan, Lakshmi Prasad and Hong, Yi and Viterbo, E (2017) Capacity optimality of lattice codes in common message Gaussian broadcast channels with coded side information. In: IEEE International Symposium on Information Theory (ISIT), 25-30 June 2017, Aachen, Germany.

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Abstract

Lattices possess elegant mathematical properties which have been previously used in the literature to show that structured codes can be efficient in a variety of communication scenarios. We consider the family of single-transmitter multiple-receiver Gaussian channels where the source transmits a set of common messages to all the receivers (multicast scenario), and each receiver has coded side information, i.e., prior information in the form of linear combinations of the messages. This channel model is motivated by applications to multi-terminal networks where the nodes may have access to coded versions of the messages from previous signal hops or through orthogonal channels. The capacity of this channel is known and follows from the work of Tuncel (2006), which is based on random coding arguments. In this paper, following the approach introduced by Erez and Zamir, we show that lattice codes are capacity-optimal for this family of channels. The structured coding scheme proposed in this paper is derived from Construction A lattices designed over prime fields, and utilizes algebraic binning at the decoders to expurgate the channel code and obtain good lattice subcodes, for every possible set of linear combinations available as side information.

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IITH Creators:
IITH CreatorsORCiD
Natarajan, Lakshmi Prasadhttp://orcid.org/0000-0003-1552-5240
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Lattices, Receivers, Linear codes, AWGN channels, Channel models, Decoding
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 18 Aug 2017 07:22
Last Modified: 20 Sep 2017 07:11
URI: http://raiith.iith.ac.in/id/eprint/3484
Publisher URL: https://doi.org/10.1109/ISIT.2017.8006846
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