Synchronization in 5G networks: a hybrid Bayesian approach toward clock offset/skew estimation and its impact on localization

EURASIP Journal on Wireless Communications and Networking

Jesús Gutiérrez¹  Nebojsa Maletic¹  Darko Cvetkovski²  Meysam Goodarzi²  Eckhard Grass² 

[1] IHP - Leibniz-Institute für innovative Mikroelektronik, Frankfurt (Oder), Germany;IHP - Leibniz-Institute für innovative Mikroelektronik, Frankfurt (Oder), Germany;Humboldt University of Berlin, Berlin, Germany;

关键词: 5G;    Hybrid synchronization;    Belief propagation;    Bayesian recursive filtering;    Joint synchronization and localization;   

DOI  :  10.1186/s13638-021-01963-x

来源: Springer

【 摘 要 】

Clock synchronization has always been a major challenge when designing wireless networks. This work focuses on tackling the time synchronization problem in 5G networks by adopting a hybrid Bayesian approach for clock offset and skew estimation. Furthermore, we provide an in-depth analysis of the impact of the proposed approach on a synchronization-sensitive service, i.e., localization. Specifically, we expose the substantial benefit of belief propagation (BP) running on factor graphs (FGs) in achieving precise network-wide synchronization. Moreover, we take advantage of Bayesian recursive filtering (BRF) to mitigate the time-stamping error in pairwise synchronization. Finally, we reveal the merit of hybrid synchronization by dividing a large-scale network into local synchronization domains and applying the most suitable synchronization algorithm (BP- or BRF-based) on each domain. The performance of the hybrid approach is then evaluated in terms of the root mean square errors (RMSEs) of the clock offset, clock skew, and the position estimation. According to the simulations, in spite of the simplifications in the hybrid approach, RMSEs of clock offset, clock skew, and position estimation remain below 10 ns, 1 ppm, and 1.5 m, respectively.

【 授权许可】

CC BY