Paper Info
Title
Transmission strategies for remote estimation under energy harvesting constraints.
Abstract
We consider the remote estimation of a timecorrelated field using an energy harvesting (EH) sensor. The sensor observes the unknown field and communicates its observations to a remote fusion center using an amplify-forward strategy. We consider the design of optimal transmission strategies in order to minimize the mean-square error (MSE) at the fusion center. Contrary to traditional approaches, the degree of correlation between the field values constitutes an important aspect of our formulation. We provide the optimal power allocation strategies for a number of illustrative scenarios, including the circularly wide-sense stationary (c.w.s.s.) signals with static correlation coefficient and the sampled low-pass c.w.s.s. signals. Based on these results, we propose low-complexity policies for the general case. Numerical evaluations illustrate the performance of the optimal and the low-complexity policies.
Year
Venue
Field
2016
European Signal Processing Conference
Resource management,Correlation coefficient,Transmission (mechanics),Mathematical optimization,Computer science,Distortion minimization,Energy harvesting,Signal recovery,Fusion center,Signal reconstruction
DocType
ISSN
Citations 
Conference
2076-1465
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Ayça Özçelikkale1469.06
Tomas McKelvey212125.50
M. Viberg3917188.13