Reducing Energy Consumption in LTE with Cell DTX

Frenger, Pål; Moberg, Peter; Malmodin, Jens; Jading, Ylva; Gódor, István

doi:10.1109/vetecs.2011.5956235

Cited by 196 publications

(139 citation statements)

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“…N T RX and η P A denote the number of transceiver and power efficiency of the amplifier, respectively. It was further shown in some previous works (e.g., State-Of-The-Art (SotA) [17], Market 2014 [19], Improved DTX [20] and Future Model [21]) that the BS power consumption or supply can be approximated by linear function of the transmission power. In this work, we concentrate on the Future Model, and it is summarised in Equation (11) by:…”

Section: Power Modelmentioning

confidence: 95%

Energy-Efficient Communication in Large Scale Antenna Systems: Impact of Variable User Capacity and Number of Transmission Antennas

Isabona¹,

Srivastava²

2017

PIER M

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Abstract-Energy-efficient transmission is fast becoming a critical factor in designing future mobile broadband cellular communication systems. This research work examines the constraints with regard to the achievable throughput and energy efficiency that can be attained on the use of precoding-based massive MIMO systems, bearing in mind the effect of some key performance impacting parameters. We first introduced an absolute energy efficiency-based model to evaluate the deep-down relationship among the packet length, the Bit error rate (BER) and throughput. Then, by means of simulation with cyclic coordinated search algorithm, optimal achievable throughput and energy efficiency performance have been shown and demonstrated for variable capacity of users and number of transmission antennas. This work is expected to be of enormous importance to practical system design on the use of massive MIMO antenna technology for data throughput and energy efficiency maximization in future 5G systems.

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Section: Power Modelmentioning

confidence: 95%

Energy-Efficient Communication in Large Scale Antenna Systems: Impact of Variable User Capacity and Number of Transmission Antennas

Isabona¹,

Srivastava²

2017

PIER M

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“…The low (or idle) state does not coincide with a switched-off power consumption level, as operations other than pure data transmission (for example, cooling) are necessary at all times. Due to this, these devices can never be shut down, even in cases of no transmission, as the reactivation process is not immediate, thereby affecting their real-time performance (Frenger, Moberg, Malmodin, Jading, & Godor, 2011).…”

Section: Energy Consumption Of Active Devices In the Networkmentioning

confidence: 99%

“…These features are typically implemented at the software level and potentially upgraded and introduced into the network over the lifetime of several hardware generations. These potential improvements can be achieved, for instance, by using techniques to manage discontinuous transmission time slots during device operation (Frenger et al, 2011) or by analysing the network requirements and training the network to respond dynamically, putting specific sections to sleep (Cuomo et al, 2012;Shi et al, 2013). The third and most likely option is implemented at the device level, using the most up-to-date energy-efficient equipment either for new deployment or for replacement of existing equipment once the hardware amortisation has taken place.…”

Section: Energy Consumption Of Active Devices In the Networkmentioning

confidence: 99%

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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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“…During a MBSFN sub-frame, the base station is switched to sleep mode and the power consumption reduced [5]. In [6], the reduction of power consumption induced by MBSFN sub-frames is studied. In [7], the power amplifier is switched on and off to save energy while maintaining the cell coverage and quality of service.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Sleep Mode for Minimizing a Femtocell Power Consumption

Bonnefoi

Moy

Palicot

2016

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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International audienceThe use of power control (PC) and discontinuous transmission (DTx) can reduce the average power consumption of mobile base stations (BS). In this paper, the power consumption of a picocell or a femtocell are analyzed in a time division multiple access (TDMA) scenario. The minimization of the power consumption is viewed as a constrained optimization problem and a closed form of the compromise between transmit power and transmission time which minimizes the average power consumption is found. Moreover, we show that for a base station with a low transmit power and a sufficient power saving during sleep mode, such as picocells and femtocells, the average power consumption is minimum when the service time is minimized. Finally, numerical results show that discontinuous transmission greatly decreases the average power consumption of the base station

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Reducing Energy Consumption in LTE with Cell DTX

Cited by 196 publications

References 1 publication

Energy-Efficient Communication in Large Scale Antenna Systems: Impact of Variable User Capacity and Number of Transmission Antennas

Energy-Efficient Communication in Large Scale Antenna Systems: Impact of Variable User Capacity and Number of Transmission Antennas

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

Dynamic Sleep Mode for Minimizing a Femtocell Power Consumption

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