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Article

A Decentralized Receiver in Gaussian Interference

1
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA
2
School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85281, USA
3
MIT Lincoln Laboratory, Lexington, MA 02421, USA
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(4), 269; https://doi.org/10.3390/e20040269
Received: 1 February 2018 / Revised: 6 April 2018 / Accepted: 9 April 2018 / Published: 11 April 2018
(This article belongs to the Section Information Theory, Probability and Statistics)
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. View Full-Text
Keywords: distributed reception; communications networks; channel capacity; relay channels; interference mitigation distributed reception; communications networks; channel capacity; relay channels; interference mitigation
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MDPI and ACS Style

Chapman, C.D.; Mittelmann, H.; Margetts, A.R.; Bliss, D.W. A Decentralized Receiver in Gaussian Interference. Entropy 2018, 20, 269. https://doi.org/10.3390/e20040269

AMA Style

Chapman CD, Mittelmann H, Margetts AR, Bliss DW. A Decentralized Receiver in Gaussian Interference. Entropy. 2018; 20(4):269. https://doi.org/10.3390/e20040269

Chicago/Turabian Style

Chapman, Christian D., Hans Mittelmann, Adam R. Margetts, and Daniel W. Bliss 2018. "A Decentralized Receiver in Gaussian Interference" Entropy 20, no. 4: 269. https://doi.org/10.3390/e20040269

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