English

Cognitive Wyner Networks with Clustered Decoding

Information Theory 2016-11-17 v3 math.IT

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 tt_\ell transmitters to its left, and the messages of the trt_r transmitters to its right. Each receiver decodes its message based on the signals received at its own antenna, at the rr_\ell receive antennas to its left, and the rrr_r 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 t,trt_\ell, t_r and the receiver side-information parameters r,rrr_\ell, r_r in the sense that increasing/decreasing tt_\ell or trt_r by a positive integer δ\delta has the same effect on the multiplexing gain as increasing/decreasing rr_\ell or rrr_r by δ\delta. Moreover---even in asymmetric networks---there is an equivalence between the left side-information parameters t,rt_\ell, r_\ell and the right side-information parameters tr,rrt_r, r_r.

Keywords

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

R2 v1 2026-06-21T20:35:07.473Z