Cognitive Wyner Networks with Clustered Decoding
Abstract
We study an interference network where equally-numbered transmitters and receivers lie on two parallel lines, each transmitter opposite its intended receiver. We consider two short-range interference models: the "asymmetric network," where the signal sent by each transmitter is interfered only by the signal sent by its left neighbor (if present), and a "symmetric network," where it is interfered by both its left and its right neighbors. Each transmitter is cognizant of its own message, the messages of the transmitters to its left, and the messages of the transmitters to its right. Each receiver decodes its message based on the signals received at its own antenna, at the receive antennas to its left, and the receive antennas to its right. For such networks we provide upper and lower bounds on the multiplexing gain, i.e., on the high-SNR asymptotic logarithmic growth of the sum-rate capacity. In some cases our bounds meet, e.g., for the asymmetric network. Our results exhibit an equivalence between the transmitter side-information parameters and the receiver side-information parameters in the sense that increasing/decreasing or by a positive integer has the same effect on the multiplexing gain as increasing/decreasing or by . Moreover---even in asymmetric networks---there is an equivalence between the left side-information parameters and the right side-information parameters .
Cite
@article{arxiv.1203.3659,
title = {Cognitive Wyner Networks with Clustered Decoding},
author = {Amos Lapidoth and Nathan Levy and Shlomo Shamai and Michele Wigger},
journal= {arXiv preprint arXiv:1203.3659},
year = {2016}
}
Comments
Second revision submitted to IEEE Transactions on Information Theory