Energy-Efficient 5G mmWave Network Planning for Sustainable Digital Transformation in Saudi Arabia
DOI:
https://doi.org/10.70917/ijcisim-2026-5133Keywords:
5G mmWave, energy-efficient networks, Saudi Arabia, Vision 2030, sustainable digital transformation, small cells, network planning, smart cities, massive MIMO, green telecommunicationsAbstract
Saudi Arabia needs to develop an advanced wireless communication infrastructure to provide high-speed connectivity, ultra-low latency, and high network performance within the country’s smart cities, industrial zones, giga projects, and public services in the context of digital transformation through its Vision 2030 strategy. In terms of new 5G technologies, mmWave communication is capable of providing high-bandwidth data rates, thus making this technology applicable for dense urban areas, smart infrastructures, airports, stadiums, industrial estates, and future digital networks. However, the implementation of mmWave poses numerous planning difficulties due to high propagation loss, low coverage radius, poor penetration ability, need for dense cell deployment, and energy consumption.The current paper will analyze the energy-saving planning practices associated with 5G mmWave in the context of sustainable digital transformation in Saudi Arabia. Specifically, emphasis will be placed on small-cell optimization, massive MIMO technologies, advanced beamforming, intelligent sleep mode, renewables-driven telecommunications site infrastructure, edge computing, traffic-dependent network management, and energy consumption optimization using artificial intelligence. Furthermore, the paper will highlight potential benefits related to the development of energy-efficient mmWave, such as cost reductions, enhanced reliability, smart city initiatives, as well as alignment with Saudi Arabia’s environmental and digital economy agenda. In conclusion, the findings of the current research provide valuable information about creating a sustainable planning practice framework for Saudi Arabia’s 5G mmWave infrastructure.