NDLI: Improved capacity approximations for Gaussian relay networks

Content Provider	IEEE Xplore Digital Library
Author	Kolte, R. Ozgur, A.
Copyright Year	2013
Description	Author affiliation: Stanford Univ., Stanford, CA, USA (Kolte, R.; Ozgur, A.)
Abstract	Consider a Gaussian relay network where a number of sources communicate to a destination with the help of several layers of relays. Recent work has shown that a compress-and-forward based strategy at the relays can achieve the capacity of this network within an additive gap. In this strategy, the relays quantize their observations at the noise level and map it to a random Gaussian codebook. The resultant capacity gap is independent of the SNR's of the channels in the network but linear in the total number of nodes. In this paper, we show that if the relays quantize their signals at a resolution decreasing with the number of nodes in the network, the additive gap to capacity can be made logarithmic in the number of nodes for a class of layered, time-varying wireless relay networks. This suggests that the rule-of-thumb to quantize the received signals at the noise level used for compress-and-forward in the current literature can be highly suboptimal.
Starting Page	1
Ending Page	5
File Size	222034
Page Count	5
File Format	PDF
ISBN	9781479913213
e-ISBN	9781479913237
DOI	10.1109/ITW.2013.6691348
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-09
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading Quantization (signal) Upper bound Noise Relays Antennas Noise level
Content Type	Text
Resource Type	Article

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