Small Cell Base Station Sleep Strategies for Energy Efficiency

Liu, Chang; Natarajan, Balasubramaniam; Xia, Huang

doi:10.1109/tvt.2015.2413382

Cited by 226 publications

(148 citation statements)

References 24 publications

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“…Authors in [10] proposed an energy efficient small cell activation mechanism to offload traffic from the MC to SCs in energy saving mode to reduce the total energy consumption of the network. In [11], authors quantified the tradeoff between energy consumption and throughput in a heterogeneous cellular network by considering SCBSs with four distinct power-saving modes. Authors in [12] studied the on and off (on/off) operation of SCBSs to enhance energy efficiency by applying belief propagation optimization framework into on/off operation of access points.…”

Section: Related Workmentioning

confidence: 99%

A Novel Approach for Centralized 3D Radio Resource Allocation and Scheduling in Dense HetNets for 5G Control-/User-plane Separation Architectures

Saha¹,

Zhao²,

Aswakul³

2017

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Abstract.This paper presents a centralized 3-dimensional radio resources (namely, time, frequency, and power) allocation and scheduling approach for control-plane and user-plane (C-/U-plane) separation architectures for fifth generation mobile networks. A central station is considered where schedulers of all base stations (BSs) are located. We consider a multi-tier network that comprises of a macrocell BS (MCBS), several outdoor picocell BSs, and a number of indoor femtocell BSs (FCBSs) deployed in a number of multi-storage buildings. The system bandwidth is reused in FCBSs within each building orthogonally. In contrast to the conventional almost blank subframe, we consider a fully blank subframe based time-domain enhanced intercell interference coordination to split completely C-/U-plane traffic such that the controlplane can be served only by the MCBS and the user-plane of user equipments by their respective BSs. We propose two power management schemes for FCBSs based on whether or not the coordinated multi-point communication with joint transmission (JT CoMP) is employed during off-state of a FCBS and develop a power control mechanism for both a single user and multi-user per FCBS scenarios. An optimal value of average activation factor (OAF) for a FCBS is derived to trade-off its serving capacity and transmit power saving factor. It is shown that in order to improve the network capacity, a FCBS needs to operate at an average activation factor (AAF) greater than its OAF using JT CoMP to serve neighboring on-state FCBSs during its normal off-state, whereas at an AAF less than the OAF to improve the energy efficiency. With a system level simulation, we show that the capacity of a FCBS increases, whereas its power saving factor decreases linearly with an increase in its AAF because of serving increased traffic, and an OAF of 0.5 for the capacity scaling factor 2 1   and greater than 0.5 for 1   are found.

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Section: Related Workmentioning

confidence: 99%

A Novel Approach for Centralized 3D Radio Resource Allocation and Scheduling in Dense HetNets for 5G Control-/User-plane Separation Architectures

Saha¹,

Zhao²,

Aswakul³

2017

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“…Since state transition between on state and off state requires relatively long time, it introduces delay to react the users' traffic demands. To overcome the disadvantage of off state in terms of delay, the concept of sleep state, which is very similar to sleep mode in user equipment (UE), has been proposed [6]. In [6], the state of a BS is classified as on, standby, sleep, and off states.…”

Section: Introductionmentioning

confidence: 99%

“…To overcome the disadvantage of off state in terms of delay, the concept of sleep state, which is very similar to sleep mode in user equipment (UE), has been proposed [6]. In [6], the state of a BS is classified as on, standby, sleep, and off states. In on state, all the operations of a BS are active and BS consumes the largest power.…”

Section: Introductionmentioning

confidence: 99%

A Novel Power Saving Scheme for Base Stations in 5G Network

Kang¹,

Chung²

2017

IJMDE

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“…In [21], the authors introduce four different sleep modes to small cell BSs depending on the consumed energy levels. Then, they formulate an optimization problem for energy efficiency maximization based on either a random sleeping or a strategic sleeping policy for small cell BSs.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Performance Evaluation of a Context Information-Based Optimized Handover Scheme in 5G Networks

Seo

Chung

2017

Entropy

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Abstract:Recently, green networks are considered as one of the hottest topics in Information and Communication Technology (ICT), especially in mobile communication networks. In a green network, energy saving of network nodes such as base stations (BSs), switches, and servers should be achieved efficiently. In this paper, we consider a heterogeneous network architecture in 5G networks with separated data and control planes, where basically a macro cell manages control signals and a small cell manages data traffic. Then, we propose an optimized handover scheme based on context information such as reference signal received power, speed of user equipment (UE), traffic load, call admission control level, and data type. In this paper, the main objective of the proposed optimal handover is either to reduce the number of handovers or the total energy consumption of BSs. To this end, we develop optimization problems with either the minimization of the number of total handovers or the minimization of energy consumption of BSs as the objective function of the optimization problem. The solution of the optimization problem is obtained by particle swarm optimization, since the developed optimization problem is an NP hard problem. Performance analysis results via simulation based on various probability distributions of the characteristics of UE and BS show that the proposed optimized handover based on context information performs better than the previous call admission control based handover scheme, from the perspective of the number of handovers and total energy consumption. We also show that the proposed handover scheme can efficiently reduce either the number of handovers or the total energy consumption by applying either handover minimization or energy minimization depending on the objective of the application.

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Small Cell Base Station Sleep Strategies for Energy Efficiency

Cited by 226 publications

References 24 publications

A Novel Approach for Centralized 3D Radio Resource Allocation and Scheduling in Dense HetNets for 5G Control-/User-plane Separation Architectures

A Novel Approach for Centralized 3D Radio Resource Allocation and Scheduling in Dense HetNets for 5G Control-/User-plane Separation Architectures

A Novel Power Saving Scheme for Base Stations in 5G Network

Modeling and Performance Evaluation of a Context Information-Based Optimized Handover Scheme in 5G Networks

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