CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Transmission Strategies for Remote Estimation under Energy Harvesting Constraints

Ayca Ozcelikkale (Institutionen för signaler och system, Signalbehandling) ; Tomas McKelvey (Institutionen för signaler och system, Signalbehandling) ; Mats Viberg (Institutionen för signaler och system, Signalbehandling)
European Signal Process. Conf. (EUSIPCO) 2016 p. 572-576. (2016)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: energy harvesting, remote estimation, signal reconstruction, distortion minimization, signal recovery, correlated field, correlated signal, sensing, linear encoding, amplify-forward, off-line optimization, MMSE

Den här publikationen ingår i följande styrkeområden:

Läs mer om Chalmers styrkeområden  

Denna post skapades 2016-08-08. Senast ändrad 2017-01-20.
CPL Pubid: 239940


Läs direkt!

Lokal fulltext (fritt tillgänglig)

Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)


Informations- och kommunikationsteknik

Chalmers infrastruktur