Traffic-aware base station sleeping in dense cellular networks

Gong, Jie; Zhou, Sheng; Niu, Zhisheng; Peng, Yang

doi:10.1109/iwqos.2010.5542725

Cited by 49 publications

(32 citation statements)

References 2 publications

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“…Accordingly, dynamic operation control to optimize the energy efficiency of cellular networks has been proposed [4]- [6]. These works mainly focus on dynamic BS sleeping.…”

Section: A Related Workmentioning

confidence: 99%

Energy-Aware Network Planning for Wireless Cellular System with Inter-Cell Cooperation

Niu

Zhou

Hua

et al. 2012

IEEE Trans. Wireless Commun.

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Abstract-In traditional cellular networks, the network planning scheme is imperative for satisfying the coverage and traffic requirement. The rapidly growing number of users in today's cellular networks demands more base stations (BSs) to accommodate the increasing traffic load. The dense deployment results in severe energy consumption, which is often overlooked by existing network planning schemes. In this paper, an energyaware network planning scheme is proposed to reduce the energy consumption of BSs by leveraging the coverage extension functionality of the inter-cell cooperation. The network planning problem is formulated as a mixed integer programming problem, which is solved with the Lagrangian relaxation method. Numerical results show that the energy efficiency can be enhanced by as much as 20% compared with the non-cooperative scheme without violating the QoS requirement. It is also shown that the proposed scheme is robust to the energy consumption structure of the BSs, and thus can be used with various types of BSs.

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“…Accordingly, dynamic operation control to optimize the energy efficiency of cellular networks has been proposed [4]- [6]. These works mainly focus on dynamic BS sleeping.…”

Section: A Related Workmentioning

confidence: 99%

Energy-Aware Network Planning for Wireless Cellular System with Inter-Cell Cooperation

Niu

Zhou

Hua

et al. 2012

IEEE Trans. Wireless Commun.

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“…In cellular networks, the BS switching off/on (cell sleeping/waking) according to the dynamic traffic over time and space has become one of promising techniques for power saving [3][4][5][6]. The authors in [3] focused on the densely deployed cellular networks where the coverage of BSs overlaps and the traffic intensity varies over time and space.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [3] focused on the densely deployed cellular networks where the coverage of BSs overlaps and the traffic intensity varies over time and space. [4] optimized the energy saving assuming that any fraction of cells can be turned off.…”

Section: Introductionmentioning

confidence: 99%

Traffic and QoS-Aware Base Station Sleeping Scheme in Heterogeneous Cellular Networks

Xiao

Zhu

et al. 2016

IJFGCN

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“…Since cellular networks are dimensioned to correctly serve the traffic at the busy hour, the idea behind these strategies is to manage the activity of BSs in an energy-efficient manner while simultaneously being able to respond the traffic needs dynamically. Thus, the focus is on strategies where underutilized BSs are switched off during low traffic periods [3,9,10]. In order to guarantee coverage, switch-off is usually combined with a certain power increase in the remaining cells, but still providing a net gain in the global energy saving.…”

Section: Introductionmentioning

confidence: 99%

A Traffic Aware Energy Saving Scheme for Multicarrier HSPA+

Jada

García-Lozano

Hämäläinen

2015

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

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Abstract. In the near future, an increase in cellular network density is expected to be one of the main enablers for the newly introduced challenging capacity goals. This development will lead to an increase in the network energy consumption. In this context, we propose an energy efficient dynamic scheme for HSDPA+ (High Speed Downlink Packet Access-Advanced) systems aggregating several carriers. In the proposed scheme the network adapts dynamically to the network traffic. The scheme evaluates whether node-B deactivation is feasible without compromising the user flow throughput. Furthermore, instead of progressive de-activation of carriers and/or node-B switch-off, we evaluate the approach where feasible combination of inter-site distance and number of carriers is searched to obtain best savings. The solution exploits the fact that re-activation of carriers might permit turning off the BSs earlier at relatively higher load than existing policies, which provides the highest energy saving. Remote electrical downtilt is also considered as a means to reduce the utilization of lower modulation and coding schemes (MCS) in the new extended cells. This approach promises significant energy savings when compared with existing policies -not only for low traffic hours but also for medium load scenarios.

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Traffic-aware base station sleeping in dense cellular networks

Cited by 49 publications

References 2 publications

Energy-Aware Network Planning for Wireless Cellular System with Inter-Cell Cooperation

Energy-Aware Network Planning for Wireless Cellular System with Inter-Cell Cooperation

Traffic and QoS-Aware Base Station Sleeping Scheme in Heterogeneous Cellular Networks

A Traffic Aware Energy Saving Scheme for Multicarrier HSPA+

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