The objective of this study is to develop a location optimization model to support the planning of ultra-dense 5G BSs in urban outdoor areas and to help address the cost challenges facing 5G.
The emergence of ultra-dense 5G networks and a large number of connected devices will bring with them significant increases in energy consumption, operating costs, and CO2 emissions. At the sam.
The energy efficiency and consumption of mobile networks have received increasing attention from academics and industry in recent years. This has been provoked by rapid increases in mobile data traffi.
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