Open Access

ARTICLE

An Efficient Scheme for Interference Mitigation in 6G-IoT Wireless Networks

by Fahd N. Al-Wesabi^1,*, Imran Khan², Nadhem Nemri³, Mohammed A. Al-Hagery⁴, Huda G. Iskander⁵, Quang Ngoc Nguyen⁶, Babar Shah⁷, Ki-Il Kim⁸

1 Department of Computer Science, King Khalid University, Muhayel Aseer, KSA
2 Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan
3 Department of Information Systems, King Khalid University, Mayahel Aseer, KSA
4 Department of Computer Science, College of Computer, Qassim University, Saudi Arabia
5 Faculty of Computer and IT, Sana'a University, Sana'a, Yemen
6 Department of Communications and Computer Engineering, Faculty of Science and Engineering, Waseda University, Shinjuku-ku, Tokyo, 169-0051, Japan
7 College of Technological Innovation, Zayed University, Abu Dhabi, UAE
8 Department of Computer Science and Engineering, Chungnam National University, Daejeon, 34134, Korea

* Corresponding Author: Fahd N. Al-Wesabi. Email:

Computers, Materials & Continua 2021, 69(3), 3889-3902. https://doi.org/10.32604/cmc.2021.016218

Received 27 December 2020; Accepted 03 March 2021; Issue published 24 August 2021

Abstract

The Internet of Things (IoT) is the fourth technological revolution in the global information industry after computers, the Internet, and mobile communication networks. It combines radio-frequency identification devices, infrared sensors, global positioning systems, and various other technologies. Information sensing equipment is connected via the Internet, thus forming a vast network. When these physical devices are connected to the Internet, the user terminal can be extended and expanded to exchange information, communicate with anything, and carry out identification, positioning, tracking, monitoring, and triggering of corresponding events on each device in the network. In real life, the IoT has a wide range of applications, covering many fields, such as smart homes, smart logistics, fine agriculture and animal husbandry, national defense, and military. One of the most significant factors in wireless channels is interference, which degrades the system performance. Although the existing QR decomposition-based signal detection method is an emerging topic because of its low complexity, it does not solve the problem of poor detection performance. Therefore, this study proposes a maximum-likelihood-based QR decomposition algorithm. The main idea is to estimate the initial level of detection using the maximum likelihood principle, and then the other layer is detected using a reliable decision. The optimal candidate is selected from the feedback by deploying the candidate points in an unreliable scenario. Simulation results show that the proposed algorithm effectively reduces the interference and propagation error compared with the algorithms reported in the literature.

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Keywords

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