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Cooperative Synchronization in Wireless Networks

B. Etzlinger ; Henk Wymeersch (Institutionen för signaler och system, Kommunikationssystem) ; A. Springer
Ieee Transactions on Signal Processing (1053-587X). Vol. 62 (2014), 11, p. 2837-2849.
[Artikel, refereegranskad vetenskaplig]

Synchronization is a key functionality in wireless networks, enabling a wide variety of services. We consider a Bayesian inference framework whereby network nodes can achieve phase and skew synchronization in a fully distributed way. In particular, under the assumption of Gaussian measurement noise, we derive two message passing methods (belief propagation and mean field), analyze their convergence behavior, and perform a qualitative and quantitative comparison with a number of competing algorithms. We also show that both methods can be applied in networks with and without master nodes. Our performance results are complemented by, and compared with, the relevant Bayesian Cramer-Rao bounds.

Nyckelord: Network synchronization, belief propagation, mean field, distributed estimation, Bayesian Cramer-Rao bound



Denna post skapades 2014-07-02. Senast ändrad 2016-12-06.
CPL Pubid: 200088

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem

Ämnesområden

Signalbehandling

Chalmers infrastruktur

 


Projekt

Denna publikation är ett resultat av följande projekt:


Cooperative Situational Awareness for Wireless Networks (COOPNET) (EC/FP7/258418)