Energy Efficiency of Multiple Antenna Cellular Networks Considering a Realistic Power Consumption Model

Krauss, Roberto; Brante, Glauber; Rayel, Ohara Kerusauskas; Souza, Richard Demo; Onireti, Oluwakayode; Imran, Muhammad Ali

doi:10.1109/tgcn.2018.2868505

Cited by 9 publications

(5 citation statements)

References 31 publications

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“…2. The model needed to calculate the variability of power adsorbed by the RB has been conceived in order to consider the variability of the traffic for area considered, adapted from literature data [3], [4]; the main sizing of the plant, considering elements such as the area coverage, the microcell base station (BS) type, characterized by a selected radius covering area and number of transmit antennas, an appropriate path loss model [5], and finally the backhaul power consumption model [6].…”

Section: A Characteristics Of the Mobile Communication Stationmentioning

confidence: 99%

“…A more efficient energy consumption per RB cluster, considering a smart activation strategy for each cell BSs and smart criteria of transmit antenna selection in order to have a consumption proportional to traffic with an optimal choice of ON BSs NBS and effective transmit antennas Nact,TX, in recent with recent technology development [5], [6]. Finally, the model has been prepared in order to accept a randomized factor for traffic modification, which can be used as a perturbation to predicted traffic due to casual factors.…”

Section: A Characteristics Of the Mobile Communication Stationmentioning

confidence: 99%

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A model for system integration of second life battery, renewable energy generation and mobile network station

Berzi

Cultrera

Delogu

et al. 2020

2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Syst

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The use of lithium-based batteries in the automotive field is particularly demanding due to the need of significant installed capacity, high energy density and power-tocapacity ratio. For this reason, literature of the last decade suggested that even after being dismantled from vehicles, partially degraded battery would still be satisfactory for other "second life" uses. In parallel, the expansion of renewable energies such as photovoltaic panels both in civil and industrial energy market suggests that coupling such discontinuous generators with storage systems could improve system flexibility, while maintaining a low environmental impact. The present article describes the integration in a single simulation environment of a system including a second life battery, a photovoltaic generator and a grid-connected mobile network telecommunication station, which has been adopted as casestudy. Subsystem characteristics, energy management strategy and boundary conditions are described; results obtained from the defined scenario are presented and include energy balance expected costs, assumed on the basis of the Italian scenario.

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Section: A Characteristics Of the Mobile Communication Stationmentioning

confidence: 99%

Section: A Characteristics Of the Mobile Communication Stationmentioning

confidence: 99%

A model for system integration of second life battery, renewable energy generation and mobile network station

Berzi

Cultrera

Delogu

et al. 2020

2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Syst

View full text Add to dashboard Cite

show abstract

“…In [25][26][27][28][29], the EE of HCN under the PPP model is studied, and the strategies to optimize the EE are proposed from the aspects of transmit power, BS sleeping, BS density and so on. Also under the PPP model, [30][31][32] analyzes the relationship between EE and spectral efficiency (SE), [33][34][35][36][37] analyze or optimize the Area SE and EE of HCN. However, the EEs of HCNs based on non-PPP models have not been analytically investigated.…”

Section: Introductionmentioning

confidence: 99%

Coverage and Energy Efficiency Analysis for Two-Tier Heterogeneous Cellular Networks Based on Matérn Hard-Core Process

2019

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Due to the dense deployment of base stations (BSs) in heterogeneous cellular networks (HCNs), the energy efficiency (EE) of HCN has attracted the attention of academia and industry. Considering its mathematical tractability, the Poisson point process (PPP) has been employed to model HCNs and analyze their performance widely. The PPP falls short in modeling the effect of interference management techniques, which typically introduces some form of spatial mutual exclusion among BSs. In PPP, all the nodes are independent from each other. As such, PPP may not be suitable to model networks with interference management techniques, where there exists repulsion among the nodes. Considering this, we adopt the Matérn hard-core process (MHCP) instead of PPP, in which no two nodes can be closer than a repulsion radius from one another. In this paper, we study the coverage performance and EE of a two-tier HCN modelled by Matérn hard-core process (MHCP); we abbreviate this kind of two-tier HCN as MHCP-MHCP. We first derive the approximate expression of coverage probability of MHCP-MHCP by extending the approximate signal to interference ratio analysis based on the PPP (ASAPPP) method to multi-tier HCN. The concrete SIR gain of the MHCP model relative to the PPP model is derived through simulation and data fitting. On the basis of coverage analysis, we derive and formulate the EE of MHCP-MHCP network. Simulation results verify the correctness of our theoretical analysis and show the performance difference between the MHCP-MHCP and PPP modelled network.

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“…In [31], the optimization of BS density to enhance EE through traffic-aware sleeping strategies in both one-and two-tier cellular networks was researched. In [32][33][34][35][36], area spectral efficiency (ASE) and EE of ultra-dense cellular networks were analyzed or optimized.…”

Section: Introductionmentioning

confidence: 99%

Joint Optimization of Pico-Base-Station Density and Transmit Power for an Energy-Efficient Heterogeneous Cellular Network

Yang

Pan

et al. 2019

Future Internet

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Heterogeneous cellular networks (HCNs) have emerged as the primary solution for explosive data traffic. However, an increase in the number of base stations (BSs) inevitably leads to an increase in energy consumption. Energy efficiency (EE) has become a focal point in HCNs. In this paper, we apply tools from stochastic geometry to investigate and optimize the energy efficiency (EE) for a two-tier HCN. The average achievable transmission rate and the total power consumption of all the BSs in a two-tier HCN is derived, and then the EE is formulated. In order to maximize EE, a one-dimensional optimization algorithm is used to optimize picocell BS density and transmit power. Based on this, an alternating optimization method aimed at maximizing EE is proposed to jointly optimize transmit power and density of picocell BSs. Simulation results validate the accuracy of the theoretical analysis and demonstrate that the proposed joint optimization method can obviously improve EE.

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Energy Efficiency of Multiple Antenna Cellular Networks Considering a Realistic Power Consumption Model

Cited by 9 publications

References 31 publications

A model for system integration of second life battery, renewable energy generation and mobile network station

A model for system integration of second life battery, renewable energy generation and mobile network station

Coverage and Energy Efficiency Analysis for Two-Tier Heterogeneous Cellular Networks Based on Matérn Hard-Core Process

Joint Optimization of Pico-Base-Station Density and Transmit Power for an Energy-Efficient Heterogeneous Cellular Network

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