In the sixth generation (6G) of mobile communication networks, radio resource allocation management (RRAM) systems must offer high levels of customization and sustainability in …
J Zhang, H Deng, Y Li, Z Zhu, G Liu, H Liu - Symmetry, 2022 - mdpi.com
In order to solve the energy efficiency optimization problem in the uplink multi-cell massive MIMO system, this paper constructs the system transmission model, of which the channel is …
N Wang, J Liu, J Lu, X Zeng, X Zhao - Optical Fiber Technology, 2021 - Elsevier
The rapid development of time-sensitive applications, such as autopilot, telemedicine and industrial automation, demands more stringent requirements on end-to-end delay …
Y Xiao, R Zhao, W Yan, X Zhu - Sustainability, 2022 - mdpi.com
Energy consumption and carbon emission levels in the production process constitute an important basis for the selection of production equipment. The energy consumption and …
Devising efficient optimisation methods has been a subject of great research attention since current evolving trends in communication networks, machine learning, and other cutting …
BK Gül, N Taşpınar - Wireless Personal Communications, 2024 - Springer
Increasing the area throughput is one of the leading solutions in terms of preventing data traffic density, which is one of the current problems in cellular communication systems. It can …
Due to the speedy development of mobile communication devices, the traditional cloudlet computing networks struggle to manipulate the huge collected data from these devices …
G Ram - International Journal of Communication Systems, 2021 - Wiley Online Library
Optimization for the reduction of power losses in sidebands and side lobes of time‐ modulated antenna array (TMLAA) is dealt in this work. Optimization for the reduction of …
I Al-Nader, A Lasebae, R Raheem, G Ekembe Ngondi - Sensors, 2024 - mdpi.com
The multi-objective optimization (MOO) problem in wireless sensor networks (WSNs) is concerned with optimizing the operation of the WSN across three dimensions: coverage …