NDLI: Distributed user association for delay-load tradeoffs in energy harvesting enabled HetNets

Content Provider	IEEE Xplore Digital Library
Author	Hongzhang Xu Tiankui Zhang Zhimin Zeng Dantong Liu
Copyright Year	2015
Description	Author affiliation: Beijing Univ. of Posts & Telecommun., Beijing, China (Hongzhang Xu; Tiankui Zhang; Zhimin Zeng) \|\| Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK (Dantong Liu)
Abstract	Energy harvesting is an emerging technology to save on-grid power and reduce carbon emissions in wireless communications. Terminals can utilize renewable energy obtained from environment by energy harvesting facilities. This paper investigates user association problem under a flow-level traffic model in energy harvesting enabled heterogeneous networks. In this paper, all the base stations are equipped with energy harvesting facilities and assumed to be solely powered by renewable energy. The average traffic delay is denoted using queuing theory, and a fairness index is redefined to evaluate the level of load balancing. Then a convex optimization problem is formulated in order to reduce average traffic delay and improve load balancing level. To this end, an iterative algorithm completed by user and base station respectively is proposed. Simulation results show that the user association algorithm improves the load balancing level with limited sacrifice on average traffic delay compared with the existing delay-optimal algorithm, and enables a flexible tradeoff between the average traffic delay and load balancing.
Starting Page	386
Ending Page	390
File Size	306065
Page Count	5
File Format	PDF
ISBN	9781479987603
DOI	10.1109/WCNCW.2015.7122586
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Renewable energy sources Load management Delays Indexes Energy harvesting Load modeling
Content Type	Text
Resource Type	Article

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