scholarly journals An Energy-Saving Algorithm With Joint User Association, Clustering, and On/Off Strategies in Dense Heterogeneous Networks

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 12988-13000 ◽  
Author(s):  
Lun Tang ◽  
Weili Wang ◽  
Yang Wang ◽  
Qianbin Chen
Keyword(s):  
Energy Saving ◽  
Heterogeneous Networks ◽  
User Association ◽  
Saving Algorithm

scholarly journals Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for LTE Heterogeneous Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Peng Yu ◽  
Lei Feng ◽  
Wenjing Li ◽  
Xuesong Qiu
Keyword(s):  
Energy Saving ◽  
Heterogeneous Networks ◽  
Power Supply ◽  
Low Complexity ◽  
Base Station ◽  
Green Economy ◽  
User Association ◽  
Management Mechanism ◽  
Hybrid Energy ◽  
Self Organized

Aiming at the lack of integrated energy-saving (ES) methods based on hybrid energy supplies in LTE heterogeneous networks, a novel ES management mechanism considering hybrid energy supplies and self-organized network (SON) is proposed. The mechanism firstly constructs ES optimization model with hybrid energy supplies. And then a SON framework is proposed to resolve the model under practical networks. According to the framework, we divide the ES problem into four stages, which are traffic variation prediction, regional Base Station (BS) mode determination, BS-user association, and power supply. And four corresponding low-complexity algorithms are proposed to resolve them. Simulations are taken on under LTE underlay heterogeneous networks. Compared with other algorithms, results show that our mechanism can save 47.4% energy consumption of the network, while keeping coverage, interference, and service quality above acceptable levels, which takes on great green-economy significance.

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