# AI based Service Management for 6G Green Communications

arXiv: https://arxiv.org/abs/2101.01588 · HTML: https://mlsanity.com/paper/2101.01588/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jan 2021.

## Built on by (most cited first, 14 of 14)

- [Machine Learning for Large-Scale Optimization in 6G Wireless Networks](https://mlsanity.com/paper/2301.03377/) (2023)
- [A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks](https://mlsanity.com/paper/2201.10500/) (2022)
- [Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks](https://mlsanity.com/paper/2303.10580/) (2023)
- [Survey of Graph Neural Network for Internet of Things and NextG Networks](https://mlsanity.com/paper/2405.17309/) (2024)
- [Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things](https://mlsanity.com/paper/2408.14528/) (2024)
- [Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning](https://mlsanity.com/paper/2111.15464/) (2021)
- [A Novel Channel Identification Architecture for mmWave Systems Based on Eigen Features](https://mlsanity.com/paper/2204.05052/) (2022)
- [Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning](https://mlsanity.com/paper/2310.14456/) (2023)
- [Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems](https://mlsanity.com/paper/2411.13583/) (2024)
- [Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)](https://mlsanity.com/paper/2508.09163/) (2025)
- [Energy-Aware 6G Network Design: A Survey](https://mlsanity.com/paper/2509.11289/) (2025)
- [Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions](https://mlsanity.com/paper/2604.25018/) (2026)
- [AI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Robotics](https://mlsanity.com/paper/2606.01015/) (2026)
- [Domain Adaptation Under Wireless Network Constraints: When Does It Become Green?](https://mlsanity.com/paper/2606.23047/) (2026)

## Abstract (arXiv)

Green communications have always been a target for the information industry to alleviate energy overhead and reduce fossil fuel usage. In current 5G and future 6G era, there is no doubt that the volume of network infrastructure and the number of connected terminals will keep exponentially increasing, which results in the surging energy cost. It becomes growing important and urgent to drive the development of green communications. However, 6G will inevitably have increasingly stringent and diversified requirements for Quality of Service (QoS), security, flexibility, and even intelligence, all of which challenge the improvement of energy efficiency. Moreover, the dynamic energy harvesting process, which will be adopted widely in 6G, further complicates the power control and network management. To address these challenges and reduce human intervene, Artificial Intelligence (AI) has been widely recognized and acknowledged as the only solution. Academia and industry have conducted extensive research to alleviate energy demand, improve energy efficiency, and manage energy harvesting in various communication scenarios. In this paper, we present the main considerations for green communications and survey the related research on AI-based green communications. We focus on how AI techniques are adopted to manage the network and improve energy harvesting toward the green era. We analyze how state-of-the-art Machine Learning (ML) and Deep Learning (DL) techniques can cooperate with conventional AI methods and mathematical models to reduce the algorithm complexity and optimize the accuracy rate to accelerate the applications in 6G. Finally, we discuss the existing problems and envision the challenges for these emerging techniques in 6G.