Dual–Adaptive Redundancy Minimisation-Based Channel Estimation Method for MIMO OFDM Systems

Authors

Keywords:

Millimeter wave, FOFDM, Channel estimation, Massive MIMO, Pilot signals

Abstract

Filtered Orthogonal Frequency Division Multiplexing (FOFDM) is one of the key candidates for harvesting the features that millimetre wave 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 the massive 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.

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Author Biographies

Ahmad Hasan, International Islamic University Malaysia

Masters student and Author

S. M. A. Motakabber, International Islamic University Malaysia

IIUM staff and author

AHM Zahirul Alam, International Islamic University Malaysia

AHM Zahirul Alam received the B.Sc. and M.Sc. degrees in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in 1984 and 1987, respectively. He obtained his Doctor of Engineering degree from Kanazawa University, Japan in 1996.   He was working as a faculty member at BUET from 1985 to 1991 and from 1996 to March 2002. He became a Professor at BUET in 1999. He worked on the MIRAI project in the Low-k group at Advanced Semiconductor Research Center, Tsukuba, Japan as Japan Science and Technology fellow from April 2002 to October 2003. He is currently serving as a Professor of the Electrical and Computer Engineering Department, Faculty of Engineering, International Islamic University Malaysia (IIUM). His research interest includes electronic device modelling and fabrication, RF devices and MEMS, Energy harvesting system, antenna and communication devices. Professor Alam has published many journal articles and conference proceedings. He has also secured many research grants from various sources. Professor Alam has granted a patent. Professor Alam is a life fellow of the Institute of Engineers, Bangladesh (IEB) and Bangladesh Computer Society (BCS), a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Institution of Engineering and Technology (IET), UK, Chartered Engineer, Engineering Council, UK and member of the International Association of Engineers (IAENG).     Professor Alam has published more than 200 papers in referred journals and conference proceedings and many book chapters in various books. He was the editor of the Journal of Electrical Engineering, the Institution of Engineers, and Bangladesh (IEB). He was a member of the Editorial Board of the International Conference on Computer and Communication Engineering (ICCCE). Professor Alam is actively involved in organizing conferences like ICCCE, IEEE International Conference on Smart Instrumentation, Measurement and Applications, (ICSIMA), IEEE International Conference on Semiconductor Electronics (ICSE) and IEEE Regional Symposium on Micro and Nano Electronics (RSM). He was also involved in ICEEICT 2014, AMPT 2009, DTVCS 2008-2009, ICOM 2008 ICECE 2008, and ICICT2007 conferences committee. He was also involved in various conferences and exhibitions website management and online submission system. Professor Alam was awarded Faculty of Engineering, IIUM best lecturer in 2008.   He has managed to secure many research grants for his research activities. Detailed activities of his profile can be found on his website at https://zahirulalam.staffat.iium.edu.my/

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Published

2023-04-30

How to Cite

Hasan, A., Motakabber, S. M. A., & Zahirul Alam, A. (2023). Dual–Adaptive Redundancy Minimisation-Based Channel Estimation Method for MIMO OFDM Systems. Asian Journal of Electrical and Electronic Engineering, 3(1), 20–26. Retrieved from https://alambiblio.com/ojs/index.php/ajoeee/article/view/42

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