@inproceedings{3c39c7cb786e4794b3e1904b0624e916,
title = "Mutual information of broadband channels observed over finite spatial regions",
abstract = "The characterization of the mutual information of broadband channels observed over finite spatial regions is of great engineering interest. This work determines the amount of information that can be captured by a finite spherical region for a given bandwidth by incorporating the concepts of MIMO communications into the modal decomposition of signals. In particular, we decompose the signals observed over the region into a finite number of independent and orthogonal spatial modes. Furthermore, the effective spatial modes represent the maximum number of independent parallel channels. Our analysis shows that (i) finite number of independent channels are available over the finite spherical region for broadband signal transmissions, and (ii) the total amount of information captured by the region is the summation of the mutual information achievable by all of these channels. In addition, we illustrate the dependency of the channel gain on the operating frequency and the size of the region.",
keywords = "Broadband communications, Channel gain, Distributed antennas, Mutual information",
author = "Farhana Bashar and Abhayapala, {Thushara D.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016 ; Conference date: 19-12-2016 Through 21-12-2016",
year = "2016",
doi = "10.1109/ICSPCS.2016.7843354",
language = "English",
series = "2016, 10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wysocki, {Tadeusz A} and Wysocki, {Beata J}",
booktitle = "2016, 10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016 - Proceedings",
address = "United States",
}