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

Hanene Zormati,Jamel Belhadj Taher,Jalel Chebil,Ana Alejos

doi:10.1155/2021/5540437

Hanene Zormati, Jamel Belhadj Taher + Show 2 more

Open Access

https://doi.org/10.1155/2021/5540437

Copy DOI

Abstract

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.

Highlights

(iv) e new channel model must accommodate a higher frequency range in order to be suitable with the 5G system which can exceed 100 GHz [6]
Many studies have been conducted for frequencies above 6 GHz in various international projects, such as ird Generation Partnership Project (3GPP), Wireless World INitiative NEw Radio (WINNER), COoperative in Science and Technology (COST), Mobile and wireless communications Enablers for the Twenty-twenty Information Society (METIS), and Millimetre-Wave Evolution for Backhaul and Access (MiWEBA), in order to develop channel models suitable for 5G scenarios, Multiple Input Multiple Output (MIMO) technology, and dual mobility systems
In order to reduce the complexity of channel prediction problem for the 3D-3rd Generation Partnership Project (3GPP) channel model, it will be considered as a sinusoidal parameter estimation problem

Summary

Third Generation Partnership Project Channel Models

E 3D model of the 3GPP model is mainly a modified version of the SCM model; Figure 2 is a simplified representation of the 3D-3GPP channel model; equation (1) represents the 3D model of V2V communication system under MIMO conditions [20]: 3GPP-SCM. 3. Estimation of Signal Parameters via Rotational Invariant Techniques’ Algorithm. Several parameter estimation algorithms can be found in the literature. ESPRIT algorithm is one of the most popular subspace methods in channel estimation [23]. ESPRIT algorithm is composed by the following three steps:. Step 1: algorithm starts by building structured array steering matrix A which is obtained as follows:. Step 2: if A1 and A2 are unknown and Es is the signal formed by subspace eigenvectors, Es and A are related with the following equation: Es A T. where Es1 and Es2 are submatrices formed from Es similar to A1 and A2, and ψ T− 1ΦT. From equation (3) and by following the 3 steps of ESPRIT algorithm, arrival angles 􏽮θp􏽯p 1 are estimated in terms of eigenvalues of ψ

Proposed Parameter Estimation Method

Results and Discussion

Conclusions