Dual–adaptive redundancy minimisation-based channel estimation method for MIMO OFDM systems

Hasan, Ahmad and Motakabber, S. M. A. and Alam, A. H. M. Zahirul (2023) Dual–adaptive redundancy minimisation-based channel estimation method for MIMO OFDM systems. Asian Journal of Electrical and Electronic Engineering, 3 (1). pp. 20-26. E-ISSN 2785-8189

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Abstract

Filtered Orthogonal Frequency Division Multiplexing (FOFDM) is one of the key candidates for harvesting the features that millimetrewave cellular communication is to offer for the 5G and beyond cellular generation. Its chief robust features are increased throughput, efficient spectral utilisation, and interference immunity. Some strict methodologies must be considered to fully utilise these inherent features, especially those allowing guard tones, accurate CSI management and other filter design parameters. This paper proposes a technique to exploit the added redundancies in pilot-based estimators. Here, the authors present an extension idea of an adaptive weight estimator with dual adaptive weights instead of one unique weight factor. We show that these redundancies are insignificant when considering themassive amount of data to be processed and thus can be eliminated to expedite the estimation process efficiently. We implement a weight-based estimator with the necessary accuracy threshold but faster converging to achieve this goal. Simulations follow to demonstrate the advantages of the proposed method.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Millimeter wave, FOFDM, Channel estimation, Massive MIMO, Pilot signals
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr S M A Motakabber
Date Deposited:	25 May 2023 16:18
Last Modified:	25 May 2023 16:18
URI:	http://irep.iium.edu.my/id/eprint/104742

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