Open Access

ARTICLE

Adaptive Cell Zooming Strategy Toward Next-Generation Cellular Networks with Joint Transmission

by Abu Jahid¹, Mohammed H. Alsharif², Raju Kannadasan³, Mahmoud A. Albreem⁴, Peerapong Uthansakul^5,*, Jamel Nebhen⁶, Ayman A. Aly⁷

1 Department of Electrical and Computer Engineering, University of Ottawa, Ottawa, K1N 6N5, ON, Canada
2 Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul, 05006, Korea
3 Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, 602117, India
4 Department of Electronics and Communications Engineering, A’Sharqiyah University, Ibra, 400, Oman
5 School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand
6 Prince Sattam Bin Abdulaziz University, College of Computer Engineering and Sciences, Alkharj, 11942, Saudi Arabia
7 Department of Mechanical Engineering, College of Engineering, Taif University, Taif, 21944, Saudi Arabia

* Corresponding Author: Peerapong Uthansakul. Email:

Computers, Materials & Continua 2021, 69(1), 81-98. https://doi.org/10.32604/cmc.2021.017711

Received 08 February 2021; Accepted 12 March 2021; Issue published 04 June 2021

Abstract

The Internet subscribers are expected to increase up to 69.7% (6 billion) from 45.3% and 25 billion Internet-of-things connections by 2025. Thus, the ubiquitous availability of data-hungry smart multimedia devices urges research attention to reduce the energy consumption in the fifth-generation cloud radio access network to meet the future traffic demand of high data rates. We propose a new cell zooming paradigm based on joint transmission (JT) coordinated multipoint to optimize user connection by controlling the cell coverage in the downlink communications with a hybrid power supply. The endeavoring cell zooming technique adjusts the coverage area in a given cluster based on five different JT schemes, which will help in reducing the overall power consumption with minimum inter-cell interference. We provide heuristic solutions to assess wireless network performances in terms of aggregate throughput, energy efficiency index (EEI), and energy consumption gain under a different scale of network settings. The suggested algorithm allows efficient allocation of resource block and increases energy and spectral efficiency over the conventional location-centric cell zooming mechanism. Extensive system-level simulations show that the proposed framework reduces energy consumption yielding up to 17.5% and increases EEI by 14%. Subsequently, a thorough comparison among different JT-based load shifting schemes is pledged for further validation of varying system bandwidths.

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