Energy savings in mobile networks based on adaptation to traffic statistics

Blume, Oliver; Eckhardt, Harald; Klein, Siegfried; Kuehn, Edgar; Wajda, Wieslawa

doi:10.1002/bltj.20442

Cited by 78 publications

(71 citation statements)

References 3 publications

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“…A more convenient design approach is to automate these techniques in order to ease their implementation and to maximise their effectiveness. Such SON-based mechanisms allow recognition of short term energy saving opportunities and they enable proper reconfiguration of long term EE improvement strategies [103].…”

Section: Self-organising Networkmentioning

confidence: 99%

Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook

Mohamed

Onireti

Imran

et al. 2016

IEEE Commun. Surv. Tutorials

125

112

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Abstract-Conventional cellular systems are designed to ensure ubiquitous coverage with an always present wireless channel irrespective of the spatial and temporal demand of service. This approach raises several problems due to the tight coupling between network and data access points, as well as the paradigm shift towards data-oriented services, heterogeneous deployments and network densification. A logical separation between control and data planes is seen as a promising solution that could overcome these issues, by providing data services under the umbrella of a coverage layer. This article presents a holistic survey of existing literature on the control-data separation architecture (CDSA) for cellular radio access networks. As a starting point, we discuss the fundamentals, concept and general structure of the CDSA. Then, we point out limitations of the conventional architecture in futuristic deployment scenarios. In addition, we present and critically discuss the work that has been done to investigate potential benefits of the CDSA, as well as its technical challenges and enabling technologies. Finally, an overview of standardisation proposals related to this research vision is provided.

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Section: Self-organising Networkmentioning

confidence: 99%

Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook

Mohamed

Onireti

Imran

et al. 2016

IEEE Commun. Surv. Tutorials

125

112

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“…For the conventional cellular networks, dynamic switching off of BSs has been extensively studied in [11,16,[21][22][23][24][25][26]. A solution proposed in [21] automatically switch off appropriate BSs or sectors, which become the compensation area needed to be covered through the tilting of antennas in the neighboring BSs.…”

Section: Related Workmentioning

confidence: 99%

“…A solution proposed in [21] automatically switch off appropriate BSs or sectors, which become the compensation area needed to be covered through the tilting of antennas in the neighboring BSs. A novel energy-efficient cellular access network architecture based on the principle of ecological protocooperation was proposed in [22], which indicates that BSs can cooperatively and dynamically make intelligent decisions based on thresholds for switching between different power modes according to traffic conditions.…”

Section: Related Workmentioning

confidence: 99%

“…However, we do not take the different MCSs into account in this paper and just use the Shannon-Hartlay theorem to calculate the UE throughput for simplicity as in [21]. Assume that MUE k is served by the MBS m i , I RB,k is the set of RBs allocated from MBS m i to MUE k, then the achievable rate of MUE k can be expressed as:…”

Section: Achievable Service Rate Calculation For Uesmentioning

confidence: 99%

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Dynamic switching off algorithms for pico base stations in heterogeneous cellular networks

Jin

Jiang

et al. 2015

J Wireless Com Network

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The densification of pico base stations (PBSs) in heterogenous cellular networks (Hetnets) causes redundant energy consumption of the whole network during low traffic periods. In order to address this problem, we take advantage of the traffic load fluctuation over time and area to adapt the necessary resource to the actual traffic demand by introducing sleep mode to the PBSs. To achieve this target, we propose two centralized algorithms (i.e., the heuristic algorithm and the progressive algorithm) in this paper to dynamically switch off the unnecessary PBSs, both of which can track the traffic variation well. We design a utility function of some key factors considered particularly for PBSs in Hetnets. These algorithms rely on the utility function to switch off the redundant PBSs, enabling the working mode of all PBSs be reconfigured periodically. The progressive algorithm is proposed to overcome the inefficiency of the heuristic algorithm. The simulations demonstrate that the execution time of the progressive algorithm is at most one third of that of the heuristic algorithm, which enables the network to respond to the traffic variation more promptly. Besides, the progressive algorithm can switch off more PBSs than the heuristic algorithm while slightly affects the network blocking probability, which indicates that the progressive algorithm has a better potential to save energy. Moreover, simulations also reveal that some key parameters all have nonnegligible influence on the performance of our algorithms. These parameters should be tuned well to trade spare network resource for energy saving.

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“…With traffic patterns noted to vary over a period of 24-h, the relation of power consumption with load suggests that an efficient way to save energy during hours of low traffic is to switch off a number of the base station sites [9]. While in residential areas, the period of low traffic can be expected during night time, this can change depending on the area.…”

Section: Base Station Switch Off For Energy Savingmentioning

confidence: 99%

Mobile operators have set ambitious targets--is it possible to boost network capacity while reducing its energy consumption?

Micallef

Mogensen

Scheck

2012

J Wireless Com Network

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While operators have to upgrade the capacity of their networks, they have committed themselves to reduce their CO 2 emissions, partly by reducing their energy consumption. This article investigates the challenges faced by operators and quantifies, through a number of case studies, the impact of specific solutions and how the energy consumption trend can be expected to develop over the next decade. With different options for upgrading capacity, studies show that a hybrid macro-pico upgrade is more energy-efficient than a macro or pico only solution. The study is extended further by quantifying the possible savings by adopting an energy-efficient capacity evolution together with an equipment replacement and site upgrade strategy. Results show that network operators can get relatively close to their targets, with energy reductions of up to 40% noted. While this can be improved further through software-based energy saving features, further CO 2 emissions can be offset through the use of carbon-neutral energy sources.

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Energy savings in mobile networks based on adaptation to traffic statistics

Cited by 78 publications

References 3 publications

Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook

Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook

Dynamic switching off algorithms for pico base stations in heterogeneous cellular networks

Mobile operators have set ambitious targets--is it possible to boost network capacity while reducing its energy consumption?

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