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Start date: 2010End date: 2019Type: search.filters.itemtype.Proceedings PaperSubject: search.filters.subject.TelecommunicationsSubject: search.filters.subject.energy efficiencySubject: search.filters.subject.heterogeneous networksAuthor: search.filters.author.Soysal, Alkan

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    Energy and Spectral Efficiency for Heterogeneous Cellular Networks with Stochastic Deployment
    (IEEE, 2017) Demirtas, Mahmut; Saginda, Cagatay; Soysal, Alkan; Bahcesehir University
    In this paper, we investigate the energy efficiency and spectral efficiency of heterogeneous networks, where macro cell and microcell base stations are deployed according to two separate stochastic geometry based processes. Here, micro base stations are placed over the regions for which the received signal strength is below a certain limit. By employing the deployment model we propose, we investigate the effects of certain parameters like macro and micro base station densities, and user density on energy efficiency of heterogeneous networks. The results show that deploying micro base stations considerably improves both energy efficiency and spectral efficiency in a dense user scenario.
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    Energy Efficiency Optimization of Heterogeneous Networks
    (IEEE, 2018) Demirtas, Mahmut; Soysal, Alkan; Bahcesehir University
    In this study, we aim to optimize the energy efficiency of a 2-tier heterogeneous cellular network that consists of macro and micro cells. We model macro and micro cell tiers by employing two separate stochastic processes. Then, we propose a constrained optimization problem, and show that the energy efficiency is a monotone increasing and a concave function of micro cell density. By using these characteristics, we offer a parametric solution for the energy efficiency problem. In addition, we simulate certain scenarios to verify our theoretical findings, and investigate the effects of macro cell density and area power consumption constraint on the optimum energy efficiency and the optimum micro cell density.
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    Energy Efficient Microcell Deployment for HetNets
    (IEEE, 2015) Demirtas, Mahmut; Soysal, Alkan; Bahcesehir University
    Due to growing power consumption and data-rate demand in cellular networks, it is crucial to design the future networks with energy and spectral efficient strategies. Using heterogeneous networks (HetNets) is one possible way of improving energy and spectral efficiency in cellular networks. In this paper, under a coverage constraint, we consider deploying strategies of low power microcells in order to improve the energy and area spectral efficiencies of the conventional macrocell only cellular network. We observe that deploying microcells while keeping the coverage area the same, increases both energy and spectral efficiencies. Finally, we conclude that it is possible to determine a range of inter site distance (ISD) that maximizes the energy efficiency while providing the required traffic demand.
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    Energy and Spectral Efficient Microcell Deployment in Heterogeneous Cellular Networks
    (IEEE, 2015) Demirtas, Mahmut; Soysal, Alkan; Bahcesehir University
    Due to growing power consumption and data-rate demand in cellular networks, it is crucial to design the future networks with energy and spectral efficient strategies. Using heterogeneous networks (HetNets) is one possible way of improving energy and spectral efficiency in cellular networks. In this paper, under a coverage constraint, we consider deploying strategies of low power microcells in order to improve the energy and area spectral efficiencies of the conventional macrocell only cellular network. We start our analysis with accurate power consumption models for both macro and micro base stations. Then, we analyze the energy and area spectral efficiencies with respect to the number and size of microcells. We observe that deploying microcells while keeping the coverage area the same increases both energy and spectral efficiencies. We also observe that microcell deployment strategy depends on the inter-site distance (ISD). Finally, we conclude that it is possible to choose a range of ISD that maximizes the energy efficiency while providing the required traffic demand.