Modelling and optimization of power consumption in wireless access networks

Deruyck, Margot; Tanghe, Emmeric; Joseph, Wout; Martens, Luc

doi:10.1016/j.comcom.2011.03.008

Cited by 73 publications

(94 citation statements)

References 22 publications

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“…For eNodeB, since static power of each BS occupies more than its 50% energy consumption as described in [21], so the target of this part is to maximize number of sleep BSs with global information at the centralized SON. In addition, three constraints should be taken into account: (i) After sleeping BSs and reallocating traffic load, no active node is overloaded.…”

Section: Bs Cooperation Algorithm Based On Geographic Topology (Bcagt)mentioning

confidence: 99%

Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for LTE Heterogeneous Networks

Yu¹,

Feng

Li³

et al. 2016

Mobile Information Systems

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Aiming at the lack of integrated energy-saving (ES) methods based on hybrid energy supplies in LTE heterogeneous networks, a novel ES management mechanism considering hybrid energy supplies and self-organized network (SON) is proposed. The mechanism firstly constructs ES optimization model with hybrid energy supplies. And then a SON framework is proposed to resolve the model under practical networks. According to the framework, we divide the ES problem into four stages, which are traffic variation prediction, regional Base Station (BS) mode determination, BS-user association, and power supply. And four corresponding low-complexity algorithms are proposed to resolve them. Simulations are taken on under LTE underlay heterogeneous networks. Compared with other algorithms, results show that our mechanism can save 47.4% energy consumption of the network, while keeping coverage, interference, and service quality above acceptable levels, which takes on great green-economy significance.

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Section: Bs Cooperation Algorithm Based On Geographic Topology (Bcagt)mentioning

confidence: 99%

Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for LTE Heterogeneous Networks

Yu¹,

Feng

Li³

et al. 2016

Mobile Information Systems

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“…The number of channels and sectors refers to the configuration on base stations. A typical LTE configuration features 3 sectors (each covering a 120° angle) and a 2 x 2 MIMO 1 (the one used in this model) or a 4 x 4 MIMO (Deruyck, Tanghe, Joseph, & Martens, 2011) channel configuration. Considering the above parameters, a baseline base station could manage a total data throughput of up to 1800 Mbps.…”

Section: Network Design Parametersmentioning

confidence: 99%

How much energy will your NGN consume? A model for energy consumption in next generation access networks: The case of Spain

Coomonte¹,

Feijóo²,

Ramos³

et al. 2013

Telecommunications Policy

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The contribution to global energy consumption of the information and communications technology (ICT) sector has increased considerably in the last decade, along with its growing relevance to the overall economy. This trend will continue due to the seemingly ever greater use of these technologies, with broadband data traffic generated by the usage of telecommunication networks as a primary component. In fact, in response to user demand, the telecommunications industry is initiating the deployment of next generation networks (NGNs). However, energy consumption is mostly absent from the debate on these deployments, in spite of the potential impact on both expenses and sustainability.[n addition, consumers are unaware of the energy impact of their choices in ultra-broadband services. This paper focuses on forecasting energy consumption in the access part of NGNs by modelling the combined effect of the deployment of two different ultra-broadband technologies (FTTH-GPON and LTE), the evolution of traffic per user, and the energy consumption in each of the networks and user devices. Conclusions are presented on the levels of energy consumption, their cost and the impact of different network design parameters. The effect of technological developments, techno-economic and policy decisions on energy consumption is highlighted. On the consumer side, practical figures and comparisons across technologies are provided. Although the paper focuses on Spain, the analysis can be extended to similar countries.

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“…The base station power consumption, P BS , for a given transmit power is found using the model and parameters outlined in [10]. This model calculates a realistic power consumption value of a complete base station including factors such as air conditioning, microwave backhaul link, etc.…”

Section: A) Simulation Modelmentioning

confidence: 99%

“…Arnold et all [13] carried out similar analysis to that in [8] using a more sophisticated base station consumption model but detailed capacity analysis was again not the main focus of the work. The Green Radio Access Network Design Tool presented in [10] can be used to identify the optimum network configuration (the set of base stations and the configuration of each) to provide energy efficient coverage of a given area. In this context, the optimum network configuration is the one with the lowest ratio of total energy consumption to area covered.…”

Section: Introductionmentioning

confidence: 99%

“…This has become a popular metric and is useful for evaluating different base station designs and identifying energy efficient design trends which can be applied in real world network design. Although the literature using this metric typically considers area coverage planning it has not considered (user and traffic) capacity planning in detail [8,[10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimizing Area Power Consumption in LTE type Cells

Keenan

Villing

2013

24th IET Irish Signals and Systems Conference (ISSC 2013)

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As wireless networks evolve to deal with increasing traffic demand and an increasing number of users, energy efficiency is becoming increasingly important. Area power consumption, defined as the ratio of total radio access network power consumption to the area covered, is a key metric for comparing the energy efficiency of different network designs. This paper examines the optimization of an LTE type cell for energy efficiency by minimizing the area power consumption (APC) subject to user coverage and capacity constraints. First we show that operating the base station at the maximum transmit power (and cell size) which services all users optimizes APC. Next we show that APC is optimum when the base station operates with the minimum bandwidth necessary to service all users. Finally we show that a modified admission scheme (which increases the minimum SINR at which a user will be serviced) improves APC by increasing the maximum capacity and size of cells that can be supported. In addition to improving energy efficiency, the modified scheme requires fewer cells in new or overlay deployments and may potentially permit removal of cells from an existing network.

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Modelling and optimization of power consumption in wireless access networks

Cited by 73 publications

References 22 publications

Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for LTE Heterogeneous Networks

Energy-Saving Management Mechanism Based on Hybrid Energy Supplies for LTE Heterogeneous Networks

How much energy will your NGN consume? A model for energy consumption in next generation access networks: The case of Spain

Optimizing Area Power Consumption in LTE type Cells

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