Energy-efficient planning and management of cellular networks

Chiaraviglio, Luca; Ciullo, Delia; Koutitas, George; Meo, Michela

doi:10.1109/wons.2012.6152223

Cited by 52 publications

(56 citation statements)

References 9 publications

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“…Several research attempts study the potential impact on the network performance of random [8] or specific [9], [10] patterns for switching off a subset of the BSs. These works focus rather on the spectral efficiency and the offered QoS (in terms of call-blocking probability) after the deactivation of the BSs, taking the reduced energy consumption for granted.…”

Section: Base Station Switching Off and Infrastructure Sharingmentioning

confidence: 99%

Energy-efficient infrastructure sharing in multi-operator mobile networks

et al. 2015

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Network infrastructure sharing and base station (BS) switching off mechanisms have been recently introduced as promising solutions towards energy and cost reduction in cellular networks.Although these techniques are usually studied independently, their combination offers new alternatives to mobile network operators (MNOs) for serving their users and could potentially provide them with additional benefits. In this article, we introduce the concept of intra-cell roamingbased infrastructure sharing, where the MNOs may switch off their BSs and roam their traffic to active BSs operated by other MNOs in the same cell. Motivated by the coexistence of multiple operators in the same area, we present possible network deployments and architectures in current and future cellular scenarios, discussing their particular characteristics. In addition, we propose an innovative distributed game theoretic BS switching off scheme, employing an integrated cost function that takes into account all the different cases for a given operator to serve its own traffic (i.e., through active BSs of neighboring cells or exploiting intra-cell roaming-based infrastructure sharing). Finally, we demonstrate some indicative simulation results in realistic scenarios to quantify the potential energy and financial benefits that our proposed scheme offers to the MNOs

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Section: Base Station Switching Off and Infrastructure Sharingmentioning

confidence: 99%

Energy-efficient infrastructure sharing in multi-operator mobile networks

et al. 2015

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“…In order to compute the set of BSs in SM, we consider the least load algorithm (LLA) of [33]. In particular, the original LLA (denoted as LLA-O in the following) always starts with all BSs powered on.…”

Section: Long Term Evolution Scenariomentioning

confidence: 99%

“…We then compute the average saving in the network S(t). The saving is computed by adopting the power model presented in [29,33] for the UMTS case and LTE one, respectively. Moreover, we collect the time spent in each power state and the frequency of power transitions for each BS, and we compute the average acceleration factor in the network vs. time AF tot (t).…”

Section: Cost Analysismentioning

confidence: 99%

Life is Short: The Impact of Power States on Base Station Lifetime

2015

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Abstract:We study the impact of power state transitions on the lifetime of base stations (BSs) in mobile networks. In particular, we propose a model to estimate the lifetime decrease/increase as a consequence of the application of power state changes. The model takes into account both hardware (HW) parameters, which depend on the materials used to build the device, and power state parameters, that instead depend on how and when power state transitions take place. More in depth, we consider the impact of different power states when a BS is active, and one sleep mode state when a BS is powered off. When a BS reduces the power consumption, its lifetime tends to increase. However, when a BS changes the power state, its lifetime tends to be decreased. Thus, there is a tradeoff between these two effects. Our results, obtained over universal mobile telecommunication system (UMTS) and long term evolution (LTE) case studies, indicate the need of a careful management of the power state transitions in order to not deteriorate the BS lifetime, and consequently to not increase the associated reparation/replacement costs.

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“…The issue of BS switching can be treated as an optimization problem that reduces the number of active BSs, while addressing the access network's data traffic load. Various methods used to switch off a precise number of Node Bs in a universal mobile telecommunications system's (UMTS) cellular network during low data traffic periods, were discussed in [10][11][12][13]. The possibility of switching off several cells and Node Bs during low-traffic periods, while ensuring the quality of service constraints in terms of blocking probability and electromagnetic exposure limits, was discussed in [10].…”

Section: Introductionmentioning

confidence: 99%

A Solar Energy Solution for Sustainable Third Generation Mobile Networks

Alsharif

2017

Energies

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Abstract:The energy consumption of cellular networks has become increasingly important to cellular network operators, due to the significant economic and ecological influence of these networks in the future. The development of alternative energy technologies has resulted in the consideration of a solar powered base station (BS) as a long-term solution for the mobile cellular network industry, to reduce the operational expenditures and CO 2 footprints of cellular networks. This study addresses the deployment and operational issues of a solar powered universal mobile telecommunications system (UMTS; a third generation mobile cellular system) BS (i.e., Node B) that is currently deployed (i.e., UMTS Node B 2/2/2 and UMTS Node B 4/4/4). In addition, this study employs a hybrid optimization model for an electric renewable software simulator developed by the American National Renewable Energy Laboratory. Four key aspects are discussed in this study: optimal solar system architecture, energy production, the cash flow of the solar powered UMTS Node B project, and the economic feasibility of a solar powered system compared with traditional sources. Simulation results show that the proposed solution ensures 100% energy autonomy and long-term energy balance for the UMTS Node B, with cost effectiveness.

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Energy-efficient planning and management of cellular networks

Cited by 52 publications

References 9 publications

Energy-efficient infrastructure sharing in multi-operator mobile networks

Energy-efficient infrastructure sharing in multi-operator mobile networks

Life is Short: The Impact of Power States on Base Station Lifetime

A Solar Energy Solution for Sustainable Third Generation Mobile Networks

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