Work

Approximate capacity of the general gaussian parallel relay network

Year: 2011

Type: conference-paper

Abstract: We approximate the capacity of the Gaussian parallel relay network with general channel gains. Our strategy is to find capacity approximations for the corresponding network in the discrete superposition model and to use the fact that those are an approximation for the Gaussian capacity. The gap between our approximation and the Gaussian capacity is a constant depending only on the number of relays, hence it is a valuable characterization for the regime of high SNR and high rate.

Source: IEEE International Symposium on Information Theory (ISIT)

DOI: 10.1109/isit.2011.6034268

Authors: Nicolas Schrammar, Mattias Andersson, Mikael Skoglund

Institution: KTH Royal Institute of Technology

Language: English

Topic: Cooperative Communication and Network Coding

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2102167013

FWCI: 1.04

Cites: 17

Cited by: 5

Related to: 10