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
Text
ELECTRONICS_LETTERS.pdf - Published Version Available under License Creative Commons Attribution. Download (322kB) |
Abstract
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.
IITH Creators: |
|
||||
---|---|---|---|---|---|
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://raiithold.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 | ||||
Related URLs: |
Actions (login required)
View Item |
Statistics for this ePrint Item |