Title | ||
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Joint time and frequency synchronization for distributed beamforming in decode-and-forward relaying systems using importance sampling |
Abstract | ||
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In this paper, we tackle the problem of joint time and frequency synchronization for decode-and-forward (DF) systems. We devise a new maximum likelihood (ML) algorithm for the joint estimation of these synchronization parameters based on the importance sampling (IS) technique. Unlike the traditional iterative estimation techniques, the proposed IS-based ML approach enjoys guaranteed global optimality. Moreover, it transforms the original multi-dimensional optimization problem into multiple two-dimensional ones, thereby entailing low computational burden. Simulation results show the advantage of the IS-based ML estimator over state-of-the-art estimation techniques. |
Year | DOI | Venue |
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2017 | 10.1109/ICUWB.2017.8250983 | 2017 IEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB) |
Keywords | Field | DocType |
frequency synchronization,distributed beamforming,maximum likelihood algorithm,joint estimation,synchronization parameters,original multidimensional optimization problem,ML estimator,iterative estimation techniques,IS | Beamforming,Synchronization,Importance sampling,Computer science,Algorithm,Maximum likelihood,Global optimality,Optimization problem,Estimator | Conference |
ISBN | Citations | PageRank |
978-1-5090-5008-6 | 0 | 0.34 |
References | Authors | |
11 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Souheib Ben Amor | 1 | 9 | 5.62 |
Faouzi Bellili | 2 | 223 | 28.35 |
Sofiène Affes | 3 | 962 | 97.26 |
Usa Vilaipornsawai | 4 | 8 | 2.83 |
Liqing Zhang | 5 | 61 | 5.19 |
Peiying Zhu | 6 | 295 | 16.35 |