Intelligent Energy Saving Technology and Strategy of 5G RAN

Zhang, Zhirong; Wei, Mingshuo; Xu, Xiaohang; Hu, Chunlei; Xie, Weiliang

doi:10.1109/bmsb55706.2022.9828681

Cited by 2 publications

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“…A similar sleep mode-based solution is proposed in the studies by Slalmi et al (2019), Zhang et al (2022), andBelaid et al (2022). However, the approach to the sleep mode solution for energy efficiency is distinct.…”

Section: Smart Sleep Modesmentioning

confidence: 99%

Artificial Intelligence and Energy Efficiency of 5G Radio Access Network

Ghag

2023

IJCE

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Purpose: This paper is a pioneering study that investigates the integration of Artificial Intelligence (AI) to enhance energy efficiency in 5G Radio Access Networks (RANs). This paper aims to identify AI-driven strategies that can significantly optimize energy consumption in the rapidly evolving 5G network infrastructure, which is essential for meeting the increasing demand for high-speed connectivity. Methodology: The methodology used for this research is a detailed review and analysis of the 5G RAN architecture and its energy dynamics, alongside the exploration of AI applications in optimizing network operations. The study focuses on AI techniques such as resource allocation, traffic prediction, adaptive sleep modes, and fault detection, proposing a holistic approach to energy management in 5G networks. A key contribution of this research is its in-depth examination of AI's role in 5G energy efficiency, highlighting its practical implications and potential for future applications. The paper offers novel insights into the implementation of AI in real-world 5G scenarios and addresses the challenges in transitioning from theoretical models to practical solutions. Findings: The findings reveal that AI integration is a vital step towards reducing the environmental footprint of 5G networks, with AI-based solutions showing promise in enhancing efficiency beyond the inherent capabilities of current 5G technologies. Despite many AI applications being in nascent stages, their potential impact on energy efficiency is significant. Unique contributor to theory, policy and practice: This paper is a valuable guide for researchers, industry professionals, and policymakers in telecommunications and environmental sustainability. It provides a clear roadmap for leveraging AI in 5G networks, emphasizing the synergy between technological innovation and ecological responsibility.

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Section: Smart Sleep Modesmentioning

confidence: 99%

Artificial Intelligence and Energy Efficiency of 5G Radio Access Network

Ghag

2023

IJCE

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The Role of IoT and AI in Bioeconomy

Lourenço

2023

Handbook of Research on Bioeconomy and Economic Ecosystems

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The new era brings a panoply of new challenges in terms of proactive procedures in order to achieve a better Europe's ecosystem. A set of new trend technologies such as artificial intelligence (AI) and internet of things (ioT) can and will bring a new approach to deal with our problem. The AI can contribute to sustainability in various ways, such as optimizing energy consumption, reducing waste, improving supply chain efficiency, and enabling precision agriculture. AI can help advance scientific research and innovation for sustainable development, such as developing new materials and technologies for clean energy production and storage. On the other hand, IoT can help in terms of sustainability by enabling real-time monitoring and control of energy and resource usage in buildings, transportation systems, and industrial processes. This chapter plans to start the discussion of the expected positive impacts in the short term from the adoption of AI and IoT for a more sustainable planet.

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Intelligent Energy Saving Technology and Strategy of 5G RAN

Cited by 2 publications

References 0 publications

Artificial Intelligence and Energy Efficiency of 5G Radio Access Network

Artificial Intelligence and Energy Efficiency of 5G Radio Access Network

The Role of IoT and AI in Bioeconomy

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