Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey
By Jingjin Wu, Yujing Zhang, Moshe Zukerman, E. Yung. IEEE Communications Surveys and Tutorials, 2015
472 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1440704fe3880f132ca068c975f7da0325295460
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Rui Zhang
- Qingqing Wu
- Lajos Hanzo
- Robert Schober
- Geoffrey Y. Li
- Maged Elkashlan
- Mubashir Husain Rehmani
- Shunqing Zhang
Citations in the corpus
- Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, background): “A comprehensive review of energy efficient BSs with sleep-mode techniques in cellular networks is presented in [194].”
- User Association in 5G Networks: A Survey and an Outlook (2015, background): “The benefits of BS sleep mode were considered in the same context in [27].”
- Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks (2016, background): “More recently, the literature surveys for EE improvement have nailed down to several specific technical areas in cellular networks, including radio resource management [29], dynamic resource provisioning [30], base station sleeping [31] as well as low power hardware techniques [32].”
- Integrating Renewable Energy Resources into the Smart Grid: Recent Developments in Information and Communication Technologies (2018, background): “BSs based on RERs may also be a good choice for remote (off-grid) areas where traditional energy resources are not available, or for developing countries with missing or unreliable traditional energy resources [50].”
- Deep Learning in Mobile and Wireless Networking: A Survey (2018, unknown): “infrastructure’s energy footprint [410].”
- Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data (2019, background): “Besides, the functional base station (BS) sleeping mechanism also relies heavily on the knowledge of the predicted traffic of specific BSs or areas to achieve the purposes of green communications and critical user requirements [17].”