Optimal quantised bits for estimation over a capacity and power limited, lossy channel

Akumalla, Venkatareddy and Khan, Mohammed Zafar Ali (2022) Optimal quantised bits for estimation over a capacity and power limited, lossy channel. Electronics Letters. pp. 1-3. ISSN 0013-5194

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This letter considers the problem of estimating the state of a scalar dynamical system over a wireless channel that is lossy, capacity, and power limited. The limited power assumption, which is valid for most real problems, links the number of quantisation bits and packet error rate. As the number of quantisation bits increases, the quantisation noise decreases but the packet loss rate increases. It is shown that the estimation error variance (EEV) is minimised for a range of quantisation bits. Further, it is shown that operating beyond the optimal range sharply increases the EEV. Simulation results corroborating the analytical results are also presented.

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IITH Creators:
IITH CreatorsORCiD
Khan, Mohammed Zafar Alihttps://orcid.org/0000-0002-5880-4023
Item Type: Article
Uncontrolled Keywords: WIRELESS, SENSOR, NETWORKS
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 20 Sep 2022 05:26
Last Modified: 20 Sep 2022 05:26
URI: http://raiith.iith.ac.in/id/eprint/10623
Publisher URL: http://doi.org/10.1049/ell2.12558
OA policy: https://v2.sherpa.ac.uk/id/publication/13659
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