Cargando…
A Decentralized Receiver in Gaussian Interference
Bounds are developed on the maximum communications rate between a transmitter and a fusion node aided by a cluster of distributed receivers with limited resources for cooperation, all in the presence of an additive Gaussian interferer. The receivers cannot communicate with one another and can only c...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512784/ https://www.ncbi.nlm.nih.gov/pubmed/33265360 http://dx.doi.org/10.3390/e20040269 |
_version_ | 1783586237957799936 |
---|---|
author | Chapman, Christian D. Mittelmann, Hans Margetts, Adam R. Bliss, Daniel W. |
author_facet | Chapman, Christian D. Mittelmann, Hans Margetts, Adam R. Bliss, Daniel W. |
author_sort | Chapman, Christian D. |
collection | PubMed |
description | Bounds are developed on the maximum communications rate between a transmitter and a fusion node aided by a cluster of distributed receivers with limited resources for cooperation, all in the presence of an additive Gaussian interferer. The receivers cannot communicate with one another and can only convey processed versions of their observations to the fusion center through a Local Array Network (LAN) with limited total throughput. The effectiveness of each bound’s approach for mitigating a strong interferer is assessed over a wide range of channels. It is seen that, if resources are shared effectively, even a simple quantize-and-forward strategy can mitigate an interferer 20 dB stronger than the signal in a diverse range of spatially Ricean channels. Monte-Carlo experiments for the bounds reveal that, while achievable rates are stable when varying the receiver’s observed scattered-path to line-of-sight signal power, the receivers must adapt how they share resources in response to this change. The bounds analyzed are proven to be achievable and are seen to be tight with capacity when LAN resources are either ample or limited. |
format | Online Article Text |
id | pubmed-7512784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75127842020-11-09 A Decentralized Receiver in Gaussian Interference Chapman, Christian D. Mittelmann, Hans Margetts, Adam R. Bliss, Daniel W. Entropy (Basel) Article Bounds are developed on the maximum communications rate between a transmitter and a fusion node aided by a cluster of distributed receivers with limited resources for cooperation, all in the presence of an additive Gaussian interferer. The receivers cannot communicate with one another and can only convey processed versions of their observations to the fusion center through a Local Array Network (LAN) with limited total throughput. The effectiveness of each bound’s approach for mitigating a strong interferer is assessed over a wide range of channels. It is seen that, if resources are shared effectively, even a simple quantize-and-forward strategy can mitigate an interferer 20 dB stronger than the signal in a diverse range of spatially Ricean channels. Monte-Carlo experiments for the bounds reveal that, while achievable rates are stable when varying the receiver’s observed scattered-path to line-of-sight signal power, the receivers must adapt how they share resources in response to this change. The bounds analyzed are proven to be achievable and are seen to be tight with capacity when LAN resources are either ample or limited. MDPI 2018-04-11 /pmc/articles/PMC7512784/ /pubmed/33265360 http://dx.doi.org/10.3390/e20040269 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chapman, Christian D. Mittelmann, Hans Margetts, Adam R. Bliss, Daniel W. A Decentralized Receiver in Gaussian Interference |
title | A Decentralized Receiver in Gaussian Interference |
title_full | A Decentralized Receiver in Gaussian Interference |
title_fullStr | A Decentralized Receiver in Gaussian Interference |
title_full_unstemmed | A Decentralized Receiver in Gaussian Interference |
title_short | A Decentralized Receiver in Gaussian Interference |
title_sort | decentralized receiver in gaussian interference |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512784/ https://www.ncbi.nlm.nih.gov/pubmed/33265360 http://dx.doi.org/10.3390/e20040269 |
work_keys_str_mv | AT chapmanchristiand adecentralizedreceiveringaussianinterference AT mittelmannhans adecentralizedreceiveringaussianinterference AT margettsadamr adecentralizedreceiveringaussianinterference AT blissdanielw adecentralizedreceiveringaussianinterference AT chapmanchristiand decentralizedreceiveringaussianinterference AT mittelmannhans decentralizedreceiveringaussianinterference AT margettsadamr decentralizedreceiveringaussianinterference AT blissdanielw decentralizedreceiveringaussianinterference |