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QoS-Aware CAPEX Minimization in Urban Off-Grid Radio Access Networks

机译:QoS感知资本支出在城市离网无线电接入网络中的最小化

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Network densification is currently seen as one of the key techniques enabling Radio Access Networks (RANs) to meet the performance and functional requirements of the 5G paradigm in urban areas. Avoiding the connection of small cells to the power grid facilitates their deployment and reduces both capital and operational expenditures (CAPEX and OPEX). In this paper, we propose an approach to enable net-Zero Energy Networking (ZEN) in urban scenarios, based on dynamically managing the operating point of Base Stations (BSs), so as to drastically decrease their overall energy requirements. More specifically, we formalize the problem of optimizing the CAPEX of a ZEN, while guaranteeing quality of service (QoS) and a given level of service availability. Optimization is over power system parameters (solar panel area, battery capacity) as well as over BS power levels and user association over time. We propose a practical algorithm for the derivation of QoS-aware spatio-temporal strategies in terms of user association and BS power allocation, which, for a given expected pattern of renewable power generation, minimize the probability of service unavailability due to power shortage. Through extensive simulations using measured data, and realistic BS deployments, we show that our algorithm leads to substantial reduction in CAPEX, and to feasible power system requirements.
机译:目前网络致密化被看作是能够实现无线接入网络(RAN),以满足性能和城镇5G范式的功能需求的关键技术之一。避免小细胞对电网的连接有利于它们的部署,并降低资本和运营支出(CAPEX和OPEX)。在本文中,我们提出了一个方法,使净零能源网络(ZEN)在城市环境下,基于动态管理的基站(BS)的工作点,以大幅减少其总体的能源需求。更具体地说,我们正式优化ZEN的CAPEX,同时保证服务质量(QoS)和服务可用性一定水平的问题。优化是在电力系统参数(太阳能电池板区域,电池容量)以及超过BS功率水平和用户关联随着时间的推移。我们提出的QoS的时空战略推导实际算法户协会和BS的功率分配,其中,对可再生能源发电的一个给定的预期模式,服务不可用的概率最小化,由于电力短缺方面。通过使用测得的数据,和现实的BS部署大量的模拟,我们表明,我们的算法导致大幅度减少CAPEX,并在可行电源系统的要求。

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