Energy-efficiency schemes for base stations in 5G heterogeneous networks: a systematic literature review
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DOI: 10.1007/s11235-023-01037-x
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- Liuwei Huo & Dingde Jiang, 2019. "Stackelberg game-based energy-efficient resource allocation for 5G cellular networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(3), pages 377-388, November.
- Byung Moo Lee & Youngok Kim, 2017. "Interference-Aware PAPR Reduction Scheme to Increase the Energy Efficiency of Large-Scale MIMO-OFDM Systems," Energies, MDPI, vol. 10(8), pages 1-16, August.
- Min Wook Kang & Yun Won Chung, 2017. "An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization," Energies, MDPI, vol. 10(9), pages 1-28, September.
- Giacomo Peruzzi & Alessandro Pozzebon, 2020. "A Review of Energy Harvesting Techniques for Low Power Wide Area Networks (LPWANs)," Energies, MDPI, vol. 13(13), pages 1-24, July.
- Rohit Kumar Gupta & Saubhik Kumar & Rajiv Misra, 2023. "Resource allocation for UAV-assisted 5G mMTC slicing networks using deep reinforcement learning," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(1), pages 141-159, January.
- Lehr, William & Queder, Fabian & Haucap, Justus, 2021. "5G: A new future for Mobile Network Operators, or not?," Telecommunications Policy, Elsevier, vol. 45(3).
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Keywords
5G; Energy efficiency; Base stations; Green communications; Sleep mode techniques; Small cells technology;All these keywords.
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