A Decentralized Receiver in Gaussian Interference
Name
entropy-20-00269.pdf
Size
410.43 KB
Format
Adobe PDF
Checksum (MD5)
e4db4472dd470aeff9be6ca3ef3f0992
Author(s)
Chapman, Christian D.
Mittelmann, Hans
Bliss, Daniel W.
Margetts, Adam R.
Date Issued
April 2018
Journal
Entropy
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Chapman, Christian, et al. “A Decentralized Receiver in Gaussian Interference.” Entropy, vol. 20, no. 4, Apr. 2018, p. 269.
Version
Final published version
Abstract
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. Keywords: distributed reception; communications networks; channel capacity; relay channels; interference mitigation
MIT Department
Lincoln Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/e20040269
