NDLI: Adaptive user association in HetNets with renewable energy powered base stations

Content Provider	IEEE Xplore Digital Library
Author	Dantong Liu Yue Chen Kok Keong Chai Tiankui Zhang Chengkang Pan
Copyright Year	2014
Description	Author affiliation: Sch. of Electron. Eng. & Comput. Sci., Univ. of London, London, UK (Dantong Liu; Yue Chen; Kok Keong Chai) \|\| Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China (Tiankui Zhang) \|\| China Mobile Commun. Corp. Res. Inst., Beijing, China (Chengkang Pan)
Abstract	In this paper, we propose adaptive user association in the Heterogeneous Networks (HetNets) with renewable energy powered base stations (BSs), where all the BSs are assumed solely powered by the harvested energy from the renewable energy sources. BSs across tiers differ in terms of energy harvesting rate, maximum transmit power and deployment density. In conventional grid-powered HetNets, user association is determined based on the assumption that all the BSs can transmit with constant powers, whereas the transmit powers of BSs vary in the HetNets with renewable energy powered BSs. The adaptive user association is formulated as an optimization problem which aims to maximize the number of accepted user equipments (UEs) and minimize the radio resource consumption in the scenario where the available energy of BSs is dependent on the harvested energy in a certain period of time. We first propose an optimal offline algorithm, where the gradient descent method is used to achieve the pseudo-optimal user association solution. The performance of proposed gradient descent based user association algorithm is verified by simulation results. Considering practical implementation, we further propose a heuristic online user association algorithm which is capable of making timely user association decision for the incoming UEs based on remaining available network resources. Simulation result indicates the proposed online algorithm achieves good tradeoff between UEs acceptance ratio and association delay.
Sponsorship	IEEE Commun. Soc.
Starting Page	93
Ending Page	97
File Size	10494806
Page Count	5
File Format	PDF
ISBN	9781479951390
e-ISBN	9781479951413
DOI	10.1109/ICT.2014.6845087
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Renewable energy sources Adaptive systems Heuristic algorithms Simulation Signal processing algorithms Telecommunications Energy harvesting
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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