Optimal online control for sleep mode in green base stations

Combes, Richard; Elayoubi, Salah Eddine; Ali, Arshad; Saker, Louai; Chahed, Tijani

doi:10.1016/j.comnet.2014.10.031

Cited by 23 publications

(11 citation statements)

References 24 publications

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“…We refer to this model as '2-state model'. The authors of references [2][3][4][5]12] have shown that this 2-state power consumption model can reduce energy consumption of the whole network. However, the problem is that the BS takes significant time to wake up from sleep mode, which may cause call drop to new users.…”

Section: Related Workmentioning

confidence: 98%

“…Energy efficiency in cellular networks and communication has been studied widely in the literature [2][3][4][5][7][8][9]. Some research papers [2][3][4][5] have proposed different algorithms to implement sleep mode in the LTE BSs. The authors in [5] proposed an approach to reduce energy consumption in mobile networks by introducing discontinuous transmission on the base station side.…”

Section: Related Workmentioning

confidence: 99%

“…The authors in [5] proposed an approach to reduce energy consumption in mobile networks by introducing discontinuous transmission on the base station side. In some of the pioneering works, MDP has been used as an effective approach for sleep mode implementation [2,[7][8][9] for green communication as well as to solve some other optimization problems [10,11]. The authors in [10] use a Markov decision process-based model to schedule consumers' behaviors in order to optimize the consumers' net benefits.…”

Section: Related Workmentioning

confidence: 99%

“…In [11], the authors have proposed an algorithm to design efficient coding tools and optimize frame structure for transmission to facilitate view switching and contain error propagation in differentially coded video due to packet losses. In [2], the authors proposed an MDP-based optimal controller that associates to an activation/deactivation policy which maximizes a multiple objective function of the QoS and improve energy efficiency. Other papers such as [7,8] consider a single user and use a Markov chain technique to evaluate the energy savings due to the sleep mode mechanism of a single user terminal.…”

Section: Related Workmentioning

confidence: 99%

“…Novelty of our work: As already presented in some pioneering works [2][3][4], switching off a base station within a HetNet is a very good approach to save energy consumption during low traffic condition. However each sleeping BS takes significant amount of time to wake up and become fully operable.…”

Section: Introductionmentioning

confidence: 97%

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Energy Efficient and Delay Aware 5G Multi-Tier Network

Islam

Alazab²,

Agbinya³

2019

Remote Sensing

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Multi-tier heterogeneous Networks (HetNets) with dense deployment of small cells in 5G networks are expected to effectively meet the ever increasing data traffic demands and offer improved coverage in indoor environments. However, HetNets are raising major concerns to mobile network operators such as complex distributed control plane management, handover management issue, increases latency and increased energy expenditures. Sleep mode implementation in multi-tier 5G networks has proven to be a very good approach for reducing energy expenditures. In this paper, a Markov Decision Process (MDP)-based algorithm is proposed to switch between three different power consumption modes of a base station (BS) for improving the energy efficiency and reducing latency in 5G networks. The MDP-based approach intelligently switches between the states of the BS based on the offered traffic while maintaining a prescribed minimum channel rate per user. Simulation results show that the proposed MDP algorithm together with the three-state BSs results in a significant gain in terms of energy efficiency and latency.

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