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General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
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Acceptance Rate:
27%
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800 USD
Average Days to Accept:
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3.4
2023
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Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
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2024-10-16
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2018
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Volume 13, No. 2, February 2018
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Energy Efficient Base Station Density Analysis for Heterogeneous Networks with eICIC
Yanzan Sun, Wenqing Xia, Yating Wu, Tao Wang, and Yong Fang
Shanghai Institute for Advanced Communication and Data Science, Shanghai Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, China
Abstract—Heterogeneous Networks (HetNets), where low-power nodes are overlaid on the traditional macro base station (MBS), have been investigated as a promising paradigm to support the deluge of data traffic with higher spectral efficiency and energy efficiency. However, the density of BS and the inter-tier interference are the two important influence factors for the network performance implementation. As for the inter-tier interferences, time domain Enhanced Inter-cell Interference Coordination (eICIC) technique is adopted to mitigate it and improve the system capacity for HetNets in LTE-Advanced. In this, the reasonable configuration of the density of base stations is very essential for the network performance improvement, especially for the network energy optimization. Thus in this paper, we deduce the closed-form of network energy efficiency as a function of the density of BSs with eICIC technology based on stochastic geometry theory. Then the impacts of the BSs density on the network energy efficiency is further analyzed by simulation. Simulation results show that the theoretical derivation is verified well by Monte Carlo simulation and the reasonable BSs density configuration can improve the network energy efficiency effectively.
Index Terms
—HetNets, eICIC, energy efficiency, stochastic geometry
Cite: Yanzan Sun, Wenqing Xia, Yating Wu, Tao Wang, and Yong Fang, "Energy Efficient Base Station Density Analysis for Heterogeneous Networks with eICIC," Journal of Communications, vol. 13, no. 2, pp. 60-66, 2018. Doi: 10.12720/jcm.13.2.60-66.
2-E38
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