An adaptive channel estimation scheme based on redundancy minimization for filtered OFDM networks

Hasan, Ahmad and Motakabber, S. M. A. and Habaebi, Mohamed Hadi and Anwar, Farhat (2023) An adaptive channel estimation scheme based on redundancy minimization for filtered OFDM networks. TELKOMNIKA Telecommunication Computing Electronics and Control, 21 (1). pp. 70-76. ISSN 1693-6930 E-ISSN 2087-278X

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Abstract

Filtered orthogonal frequency division multiplexing (F-OFDM), a technology which is being considered as a promising platform for beyond 4G era is expected to help deliver the new features at millimeter wave in the new 5th generation of cellular communication. Some of its key features notably better spectral utilization, enhanced throughput and immunity to interference can be enabling for the new cellular standards. These features of filtered OFDM comes with strict requirements of filter design, guard tone managements, and efficient channel state information harness. This paper is intended to propose an intuitive channel estimation scheme which will allow efficient acquisition of channel state information (CSI) through exploiting the redundant steps of the conventional pilot training-based algorithms and by also using an adaptive weight to expedite the minimization of the error between the estimated values and the actual values. Various simulations will follow to demonstrate the superiority of the scheme over traditional pilot-based algorithms and thus prove its utility in the current 5G cellular era

Item Type:	Article (Journal)
Uncontrolled Keywords:	5G Channel estimation Channel state information Millimeter wave MIMO OFDM
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
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:	07 Feb 2023 16:03
Last Modified:	07 Feb 2023 16:03
URI:	http://irep.iium.edu.my/id/eprint/103554

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