Approximately achieving Gaussian relay network capacity with lattice codes. Ozgur, A. & Diggavi, S N. In Proc. of IEEE ISIT 2010, Austin, Texas, pages 669–673, June, 2010.
Arxiv abstract bibtex An approximate max-flow min-cut result for arbitrary wireless relay network was recently established using Gaussian codebooks for transmission and random mappings at the relays. In this paper, we show that the approximation result can be established by using lattices for transmission and quantization along with structured mappings at the relays. This also extended the original scalar quantizer analysis to vector quantizers and obtained a slightly better approximation constant.
@inproceedings{ODp10,
abstract = {An approximate max-flow min-cut result for arbitrary wireless relay
network was recently established using Gaussian codebooks for
transmission and random mappings at the relays. In this paper,
we show that the approximation result can be established
by using lattices for transmission and quantization along with
structured mappings at the relays. This also extended the original scalar quantizer
analysis to vector quantizers and obtained a slightly better approximation constant.},
author = {A. Ozgur and S N. Diggavi},
booktitle = {Proc. of IEEE ISIT 2010, Austin, Texas},
file = {:papers:od_isit10.pdf},
month = {June},
note = {},
pages = {669--673},
tags = {conf,DetApprox,ITapprox,WiNet,IT,WiNetInfFlow,SelConf,LatticeChan},
title = {Approximately achieving Gaussian relay network capacity with lattice codes},
type = {4},
url_arxiv = {http://arxiv.org/abs/1005.1284},
year = {2010}
}
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