Telecommunication Engineering
Permanent URI for this collectionhttp://repository.futminna.edu.ng:4000/handle/123456789/752
Telecommunication Engineering
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Item Performance Analysis of Path Loss Models for Wireless Communications at 3.5 GHz and 23 GHz in a Regular Urban Environment(IEEEE, 2023) Farouq E. Shaibu; Elizabeth N. Onwuka; Nathaniel Salawu; Oyewobi S. StephenItem Conservation of Mobile Terminal’s Battery Life Using Dynamic Power Control Algorithm(SAP, Journal of Wireless Networking and Communications, 2012) Oyewobi S. Stephen; Elizabeth N. OnwukaMost of our activities today are tied around being able to make a call or connect to the Internet with our Mobile devices. However, to optimally utilize the network and deliver the needed satisfaction to the user the mobile device needs to be powered. Sadly most mobile devices are powered by energy-limited batteries, which impose a constraint on the mobile terminal optimal performance and on the network utility. As a result, special emphasis is now being laid on extending the battery life of mobile devices. In this work, we present a simple and effective power control algorithm, which conserves battery power by dynamically responding to real-time network conditions to adjust mobile terminal’s transmit power. BER (bit error rate) in measurement reports obtained from signals received from the mobile terminal were used to estimate signal quality that helps to determine the network conditions and adjust mobile terminal’s transmit power accordingly. Our algorithm was tested using simulation models, and our results were compared with the Stepwise algorithm, which is a popular power control algorithm in literature. A reasonable improvement was recorded for length of operation time and battery-energy saved for the mobile terminal over stepwise algorithm.Item Performance of Path Loss Models over Mid-Band and High-Band Channels for 5G Communication Networks: A Review(MDPI, 2023-11-07) Farooq E Shuaibu; Elizabeth N. Onwuka; Nathaniel Salawu; Oyewobi S. Stephen; Karim Djouani; Adnan M. Abu-MahfouzThe rapid development of 5G communication networks has ushered in a new era of highspeed, low-latency wireless connectivity, as well as the enabling of transformative technologies. However, a crucial aspect of ensuring reliable communication is the accurate modeling of path loss, as it directly impacts signal coverage, interference, and overall network efficiency. This review paper critically assesses the performance of path loss models in mid-band and high-band frequencies and examines their effectiveness in addressing the challenges of 5G deployment. In this paper, we first present the summary of the background, highlighting the increasing demand for high-quality wireless connectivity and the unique characteristics of mid-band (1–6 GHz) and high-band (>6 GHz) frequencies in the 5G spectrum. The methodology comprehensively reviews some of the existing path loss models, considering both empirical and machine learning approaches. We analyze the strengths and weaknesses of these models, considering factors such as urban and suburban environments and indoor scenarios. The results highlight the significant advancements in path loss modeling for mid-band and high-band 5G channels. In terms of prediction accuracy and computing effectiveness, machine learning models performed better than empirical models in both mid-band and high-band frequency spectra. As a result, they might be suggested as an alternative yet promising approach to predicting path loss in these bands. We consider the results of this review to be promising, as they provide network operators and researchers with valuable insights into the state-of-the-art path loss models for mid-band and high-band 5G channels. Future work suggests tuning an ensemble machine learning model to enhance a stable empirical model with multiple parameters to develop a hybrid path loss model for the mid-band frequency spectrum.