New Simplified Method for Parameter Estimation of Three-Dimensional Channel Model in Third Generation Partnership Project | Zendy

Hanene Zormati | Zendy; Jalel Chebil | Zendy; Jamel Bel Hadj Taher | Zendy

Open Access

New Simplified Method for Parameter Estimation of Three-Dimensional Channel Model in Third Generation Partnership Project

Author(s) -

Hanene Zormati,

Jalel Chebil,

Jamel Bel Hadj Taher

Publication year - 2021

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2021/5540437

Subject(s) - general partnership , 3rd generation partnership project 2 , third generation , channel (broadcasting) , computer science , wireless , estimation , invariant (physics) , industrial engineering , algorithm , computer engineering , systems engineering , engineering , telecommunications , mathematics , telecommunications link , finance , economics , mathematical physics

The emerging fifth generation technology has attracted the attention of many researchers and developers. It is designed to connect everyone and everything together including machines, vehicles, objects, and devices. One of the fifth generation research topics that are being investigated is the modelling of the wireless communication channel. In this paper, Third Generation Partnership Project channel models are studied and its variant Three-Dimensional Third Generation Partnership Project model is examined. This model is complex and not easy to use due to the employment of a large number of parameters. For these reasons, a new simplified method for parameter estimation of the three-dimensional model of third generation partnership project based on estimation of signal parameters via rotational invariant techniques algorithm is proposed. The simplified model is less complex than the three-dimensional model of third generation partnership project and is found to perform better in terms of computational time while maintaining similar results.

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