Toward dynamic energy-efficient operation of cellular network infrastructure

Oh, Eunsung; Krishnamachari, Bhaskar; Liu, Xin; Niu, Zhisheng

doi:10.1109/mcom.2011.5783985

Cited by 508 publications

(363 citation statements)

References 2 publications

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“…Consequently, determining the worst-case location within the switched-off hexagonal area is equivalent to solving the following constrained minimization problem: For the four different cooperation modes introduced earlier, the solution of the worst-case UE location with α ∈ [3,4] is given in Fig. 5.…”

Section: A Worst-case Locationmentioning

confidence: 99%

“…It is worth noting that the energy consumption of a BS is dominated by components that do not depend on the traffic load, such as the high-power tower lights and the cooling mechanism. As an example, a typical BS consumes 800-1500 W, while its power amplifier output is only 40-80 W [4]. This means that a BS consumes more than 90% of its peak consumption even in periods of idle operation.…”

Section: Introductionmentioning

confidence: 99%

“…This technique was applied in [14], where the signal strength outage and service blocking outage of the UEs were characterized, and the achievable energy consumption reduction was studied as the function of the traffic load via computer simulations. A recent survey on the current state of the art of energy-efficient cellular network operation can be found in [4].…”

Section: Introductionmentioning

confidence: 99%

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Energy-efficient cellular network operation via base station cooperation

Han

Safar

Lin

et al. 2012

2012 IEEE International Conference on Communications (ICC)

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Abstract-The rising cost of energy and increased environmental awareness have sparked a keen interest in the development and deployment of energy-efficient communication technologies. The energy efficiency of cellular networks can be increased significantly by selectively switching off some of the base stations (BSs) during periods of low traffic load. In this paper, we propose a scalable BS switching strategy and use cooperative communications and power control to extend network coverage to the service areas of the switched-off BSs. The outage probability and the achievable power savings of the proposed scheme are analyzed, both analytically and numerically, and a potential of up to 50% power saving is observed in the numerical results.

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Section: A Worst-case Locationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Energy-efficient cellular network operation via base station cooperation

Han

Safar

Lin

et al. 2012

2012 IEEE International Conference on Communications (ICC)

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“…Power saving in all networks of mobile users, including GSM, has more and more importance [1]- [5]. One of the ways of saving is the reduction of emission (output, downlink) power of base transceiver station (BTS).…”

Section: Introductionmentioning

confidence: 99%

Power Control of Base Station in GSM: Influence of Users' Density in the Cell

Mileusnic¹,

Popović

Lebl³

et al. 2015

Automatika

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In this paper is presented that base station output power can be decreased by the power control in each channel. In this case very important is the distribution function of users' density in the cell. We present the examples of the cells without power control and the examples of the cells with power control, where the distribution of users' density in the cell is of various types. Some results are compared to the results of measurements, and some to the results obtained by simulation.

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“…As their standardization work in the 3rd generation partnership project (3GPP) and other organizations approaching to an end, challenges are raised by the new round of high demands of wireless traffic, which is spurring new radio technologies, deployment infrastructures and radio resource allocation methods to be studied. Meanwhile, the Information & Communication Technology (ICT) industries are facing an increase in associated energy consumption of 16-20% per year [3], which highlights the urgent desire for researches focusing on energy efficiency (EE).…”

Section: Introductionmentioning

confidence: 99%

Joint resource allocations for remote radio head deployments with coherent transmitter

Wang

Shi

et al. 2012

J Wireless Com Network

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To deal with the future high demands of wireless traffic and energy consumption, one type of heterogeneous deployments is to distribute the base station antennas throughout the entire cell, which is called remote radio head (RRH). In view of radio resource management, the joint resource allocation in broadband orthogonal frequency division multiple access RRH (OFDMA-RRH) has not been thoroughly studied, which includes the antenna port selection, subcarrier assignment and power allocation under the power constraints per antenna port. This article focuses on the downlink resource allocation in OFDMA-RRH, where the coherent transmitter with phase steering is used. The problem to maximize the system spectrum efficiency (SE) is formulated, and solved by a dual decomposition method, where the decomposed sub-problems in the dual domain are solved by analytic geometry. In the optimal solution, the system power is always exhaustively used. As another contribution, this article further proposes that in the optimal solution, there is a considerable part of system power which makes little contribution to the SE and thus should be saved. Specifically, the energy efficiency is analyzed for an individual subcarrier transmission. A proportional power allocation (PPA) method is proposed to achieve a local optimality for each subcarrier. By applying the PPA to every subcarrier in order to maximize the system SE, a new resource allocation problem is formulated and solved. Discussions are also presented for the proposed algorithms on the computational complexity and feasibility in multi-cell cases. Simulation results show that the optimal algorithm consumes all the system power and has good convergence. The algorithm applying PPA can effectively improves the system power efficiency while achieving the SE optimality.

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Toward dynamic energy-efficient operation of cellular network infrastructure

Cited by 508 publications

References 2 publications

Energy-efficient cellular network operation via base station cooperation

Energy-efficient cellular network operation via base station cooperation

Power Control of Base Station in GSM: Influence of Users' Density in the Cell

Joint resource allocations for remote radio head deployments with coherent transmitter

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