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Distributed Resource Allocation for Green HetNets with Renewable Energy Resources.

Authors :
Zhang, Bin
Liu, Yi
Source :
International Journal of Pattern Recognition & Artificial Intelligence. 2021, Vol. 35 Issue 8, pN.PAG-N.PAG. 16p.
Publication Year :
2021

Abstract

In fifth generation (5G) systems, green heterogeneous network (HetNet) is capable of achieving energy efficiency by densely deploying renewable-powered small cells. However, the small cells may suffer performance degradation due to the limited backhaul from macro base station (BS) and renewable intermittency. In this paper, we introduce a distributed HetNet architecture in which the renewable-powered small cell BSs collaboratively exchange information and allocate the spectrum and power resources by themselves. Considering the uncertainty of the available spectrum, renewable energy supply and traffic loads, a stochastic optimization problem is formulated to maximize the energy efficiency for distributed small cell BSs. A distributed resource allocation algorithm is proposed to obtain the optimal spectrum and power allocating strategies for each small cell. Finally, the numerical results demonstrate the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02180014
Volume :
35
Issue :
8
Database :
Academic Search Index
Journal :
International Journal of Pattern Recognition & Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
151365632
Full Text :
https://doi.org/10.1142/S0218001421590291