Adegbenga Ajiboye

Work place: Department of Electrical and Electronic Engineering, Federal University of Technology Minna, Nigeria

E-mail: ajiboye2003@yahoo.com

Website: https://orcid.org/0000-0002-6848-0165

Research Interests: Computer Networks, Wireless Networks, Telecommunication, Microwave Measurements

Biography

Johnson Adegbenga Ajiboye obtained his Bachelor of Engineering (B.Eng) degree in Electrical and Computer Engineering (Second Class Upper Division), Master of Engineering (M.Eng) degree in Communication Engineering and PhD degree in Electrical and Electronic Engineering from Federal University of Technology, Minna, Niger State, Nigeria in 1998, 2010 and 2021 respectively. He joined the service of the Federal University of Technology, Minna, Niger State, Nigeria in 2004 and he is currently a Lecturer with the University. His research focuses on Radio Spectrum Measurements, Management and analysis, Cognitive Radio, Radio Propagation, Heterogeneous Networks and Rural Telecommunication Networks.

Author Articles
Comparative Analysis of Macro-Femto Networks Interference Mitigation Techniques

By Katfun Philemon Dawar Abraham U. Usman Bala Alhaji Salihu Michael David Supreme Ayewoh Okoh Adegbenga Ajiboye

DOI: https://doi.org/10.5815/ijwmt.2022.06.02, Pub. Date: 8 Dec. 2022

When interference is reduced, the benefits of using a macrocell and femtocell heterogeneous network (Macro-Femto) heterogeneous network (HetNet) can be increased to their full potential. In this study, Enhanced Active Power Control (EAPC), Active Power Control (APC), and Power Control (PC1) interference mitigation strategies are applied, and their performances in uplink and downlink transmission of 5G Non-Stand-Alone (NSA) architecture are compared. According to the findings of a MATLAB simulation, the EAPC technique utilized a lower amount of transmit power for the Macro User Equipment (MUE), the Home User Equipment (HUE), and the femtocell logical node (Hen-gNB), in comparison to the APC and PC1 techniques. While PC1 approach required less en-gNB transmission power. The MUE, HUE, hen-gNB, and en-gNB throughput of the EAPC approach was much higher. This work will enable wireless system designers and network engineers know the appropriate technique to utilize to achieve desired Quality of Service (QoS) while conserving network resources.

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