Research Article
Collaborative and Green Resource Allocation in 5G HetNet with Renewable Energy
@INPROCEEDINGS{10.1007/978-3-030-00916-8_2, author={Yi Liu and Yue Gao and Shengli Xie and Yan Zhang}, title={Collaborative and Green Resource Allocation in 5G HetNet with Renewable Energy}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings}, proceedings_a={COLLABORATECOM}, year={2018}, month={10}, keywords={Collaborative HetNet Resource allocation Renewable uncertainty}, doi={10.1007/978-3-030-00916-8_2} }- Yi Liu
Yue Gao
Shengli Xie
Yan Zhang
Year: 2018
Collaborative and Green Resource Allocation in 5G HetNet with Renewable Energy
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-00916-8_2
Abstract
By deploying dense renewable-connected small-cells, heterogeneous networks (HetNets) are able to provide spectral and energy efficiencies for 5G system. However, the small-cell base stations (BSs) may suffer the intra-cell interferences and variabilities of renewable energy. In this paper, we firstly introduce a collaborative architecture to deal with intra-cell interferences and renewable uncertainty for different-tier of users in HetNets. A stochastic optimization problem is formulated to maximize the energy efficiency of collaborative HetNet. To solve the problem, a centralized resources allocation algorithm is proposed based on random variabilities of spectrum and renewable resources. Finally, the extensive numerical results are provided to verify the effectiveness of the proposed collaborative resources allocation method.
