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By: Dr. Kazi Kutubuddin Sayyad Liyakat.
Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur (MS), India.
The amount of energy used of cellular networks for communication has dramatically grown due to the quick expansion of mobile data usage and the extensive use of next-generation wireless technologies. Among various network components, base stations account for the largest share of power usage, making energy-efficient management an important research area in heterogeneous cellular networks (HetNets). This review paper presents a comprehensive overview of recent developments in energy-efficient base station management techniques designed for modern broadband communication systems. The study examines heterogeneous network architecture consisting of macro cells, micro cells, pico cells, femto cells, and Home e-Node Bases (HeNBs), highlighting their role in improving coverage and network capacity while reducing operational power requirements. Various energy-saving approaches, including dynamic base station switching, sleep mode mechanisms, traffic-aware resource allocation, cell zooming, load balancing, and adaptive power control, are critically analyzed. The review also discusses the integration of Device-to- Device communication, software-defined networking, cloud-based radio access networks, and artificial intelligence techniques for intelligent network optimization. In addition, challenges related to interference management, quality of service maintenance, mobility support, and scalability are explored. Recent advancements in 5G and emerging 6G communication systems are also considered in the context of sustainable and green wireless networking. The paper concludes by identifying future research opportunities focused on improving network efficiency, minimizing energy consumption, and supporting environmentally sustainable broadband cellular communication infrastructures.
Keywords – Heterogeneous Cellular Networks (HetNets), Energy-Efficient Base Station Management, Green Wireless Communication, Artificial Intelligence-Based Network Optimization, Fifth-Generation and Sixth-Generation Communication Systems .
Citation:
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