This paper presents a distributed energy-saving management strategy for green cellular networks. During off-peak periods, an energy-saving operation is activated. A subset of base stations (BSs) in the network enters an energy-saving state, i.e., switched-off mode, while satisfying traffic demands without discontinuity of user services. To this end, the remaining operating BSs should compensate for the coverage holes by taking over the responsibility of user service. Such a scenario can be formulated into a combinatorial optimization that maximizes the overall energy savings of the network. To address this computationally demanding task, we develop a distributed algorithm that provides an efficient solution by using a state-of-the-art technique based on a message-passing framework. The simulation results confirm considerable energy-saving gains over previously existing techniques and prove the viability for this strategy for self-organizing green cellular networks.
Bibliographical noteFunding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, and Future Planning of the Korean Government under Grant NRF-2015R1C1A1A01052529 and in part by the Basic Science Research Program through the NRF funded by the Ministry of Education under Grant NRF-2015R1D1A1A01057100.
© 2016 IEEE.
- Energy-saving management
- green cellular networks
- message-passing algorithms
ASJC Scopus subject areas
- Automotive Engineering
- Aerospace Engineering
- Electrical and Electronic Engineering
- Applied Mathematics