Multicasting Energy and Information Simultaneously
Information Theory
2019-03-15 v2 math.IT
Abstract
Communication systems for multicasting information and energy simultaneously to more than one user are investigated. In the system under study, a transmitter sends the same message and signal to multiple receivers over distinct and independent channels. The fundamental communication limit under a received energy constraint, called the multicast capacity-energy function, is studied and a single-letter expression is derived. This is based on coding theorems for compound channels. The problem of receiver segmentation, where receivers are divided into related groups, is also considered.
Cite
@article{arxiv.1806.11271,
title = {Multicasting Energy and Information Simultaneously},
author = {Ting-Yi Wu and Anshoo Tandon and Lav R. Varshney and Mehul Motani},
journal= {arXiv preprint arXiv:1806.11271},
year = {2019}
}
Comments
6 pages, 5 figures, parts of results have submitted to 2019 IEEE International Symposium on Information Theory