Transmission Strategies for Remote Estimation under Energy Harvesting Constraints
Paper in proceedings, 2016

We consider the remote estimation of a time- correlated field using an energy harvesting (EH) sensor. The sensor observes the unknown field and communicates its observa- tions 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.

amplify-forward

remote estimation

linear encoding

energy harvesting

correlated signal

sensing

signal recovery

off-line optimization

correlated field

MMSE

signal reconstruction

distortion minimization

Author

Ayca Ozcelikkale

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Tomas McKelvey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Mats Viberg

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

European Signal Process. Conf. (EUSIPCO) 2016

2219-5491 (ISSN)

572-576

Areas of Advance

Information and Communication Technology

Energy

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/EUSIPCO.2016.7760313

ISBN

978-099286265-7

More information

Created

10/7/2017