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The analysis of coverage probability, ASE and EE in heterogeneous ultra-dense networks with power control

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العنوان: The analysis of coverage probability, ASE and EE in heterogeneous ultra-dense networks with power control
المؤلفون: Qiaoshou Liu, Zhongpei Zhang
المصدر: Digital Communications and Networks, Vol 6, Iss 4, Pp 524-533 (2020)
بيانات النشر: KeAi Communications Co., Ltd., 2020.
سنة النشر: 2020
المجموعة: LCC:Information technology
مصطلحات موضوعية: Heterogeneous ultra-dense network, Poisson point process, Coverage probability, Area spectral efficiency, Energy efficiency, Information technology, T58.5-58.64
الوصف: The ultra-dense network is a promising technology to increase the network capacity in the forthcoming fifth-generation (5G) mobile communication networks by deploying lots of low power Small Base Stations (SBSs) which overlap with Macro Base Stations (MBSs). The interference and energy consumption increase rapidly with the number of SBSs although each SBS transmits with small power. In this paper, we model a downlink heterogeneous ultra-dense network where a lot of SBSs are randomly deployed with MBSs based on the Poisson point process. We derive the coverage probability and its variance, and analyze the area spectral efficiency and energy efficiency of the network considering three Fractional Power Control (FPC) strategies. The numerical results and Monte Carlo simulation results show that power control can mitigate the interference and balance the performances of inner-user and edge-user equipments. Especially, a great improvement of energy efficiency is archived with a little loss of area spectral efficiency when FPC is adopted. Finally, we analyze the effect of base stations’ (BSs’) sleeping on the performance of the network when it is partially loaded.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2352-8648
Relation: http://www.sciencedirect.com/science/article/pii/S2352864819301695; https://doaj.org/toc/2352-8648
DOI: 10.1016/j.dcan.2020.02.002
URL الوصول: https://doaj.org/article/c3fb88c8ad6549b182f378bc464b067b
رقم الانضمام: edsdoj.3fb88c8ad6549b182f378bc464b067b
قاعدة البيانات: Directory of Open Access Journals
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