Fully Distributed Approach for Energy Saving in Heterogeneous Networks

2016 ◽  
Author(s):  
Hocine Ameur ◽  
Moez Esseghir ◽  
Lyes Khoukhi
Keyword(s):  
Energy Saving ◽  
Heterogeneous Networks ◽  
Distributed Approach

scholarly journals Collaborative Opportunistic Scheduling in Heterogeneous Networks: A Distributed Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Donglai Sun ◽  
Yang Liu ◽  
Jianhua Li ◽  
Yue Wu
Keyword(s):  
Iterative Algorithm ◽  
Network Model ◽  
Heterogeneous Networks ◽  
Opportunistic Scheduling ◽  
Scheduling Problem ◽  
Decentralized Systems ◽  
Scheduling Scheme ◽  
Distributed Approach ◽  
Total Performance ◽  
Decentralized Mechanism

We consider a collaborative opportunistic scheduling problem in a decentralized network with heterogeneous users. While most related researches focus on solutions for optimizing decentralized systems’ total performance, we proceed in another direction. Two problems are specifically investigated. (1) With heterogenous users having personal demands, is it possible to have it met by designing distributed opportunistic policies? (2) With a decentralized mechanism, how can we prevent selfish behaviors and enforce collaboration? In our research, we first introduce a multiuser network model along with a scheduling problem constrained by individual throughput requirement at each user’s side. An iterative algorithm is then proposed to characterize a solution for the scheduling problem, based on which collaborative opportunistic scheduling scheme is enabled. Properties of the algorithm, including convergence, will be discussed. Furthermore in order to keep the users staying with the collaboration state, an additional punishment strategy is designed. Therefore selfish deviation can be detected and disciplined so that collaboration is enforced. We demonstrate our main findings with both analysis and simulations.

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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