A cell breathing approach in green heterogeneous networks

Torrea-Duran, Rodolfo; Tsiaflakis, Paschalis; Vandendorpe, Luc; Moonen, Marc

doi:10.1109/spawc.2014.6941734

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…The cell breathing was more flexible and effective since it can adjust the cell size in accordance with the loading and QoS variations. The conclusions of [13] [14] showed that the cell breathing provided excellent energy efficiency performance gain in the complex cellular network.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Transmission Power Control Policy of the Delay Tolerable Communication Service

et al. 2020

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In recent years, the development of wireless communication leads to an explosive growth of energy demand, widely application of smart devices and rapid emergence of services. So, the energy efficient communication is expected urgently to save power and prolong the lifetime of the resourceconstrained terminal devices. Especially in 5G age, the excellent spectrum efficiency provides more opportunity to save power by adjusting the transmission power of the delay tolerable (DT) service. Meanwhile, although the tradeoff between energy efficiency and service delay plays a non-negligible role in the energy efficient communication, it is not exploited sufficiently due to the time variation and randomness of wireless communication channel. For this reason, the fundamental tradeoff between energy efficiency and delay of the DT service is investigated and analyzed. And, the optimal problem of energy efficient communication for DT service is formulated as a Markov Decision Process (MDP) which can be solved effectively by statistical dynamic programming (SDP) since the perfect channel state information (CSI) is hard to obtain. To improve the utility of research, the approximate SDP (ASDP) and Q-learning are also investigated to overcome the limitation of the curse of dimensionality and model-based algorithm respectively.

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Section: Related Workmentioning

confidence: 99%

Energy Efficient Transmission Power Control Policy of the Delay Tolerable Communication Service

et al. 2020

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“…3) PL-CB(path loss-based cell breathing) [27] PL-CB is a cell respiration algorithm based on path loss. On the premise of limiting the maximum transmit power and minimum transmission rate, according to the real-time transmission rate of the users, the base station transmit power is continuously updated to find the best balance point of energy consumption and total throughput.…”

Section: Compared Algorithmsmentioning

confidence: 99%

Cell Breathing Algorithm Based on Energy Efficiency in the High Density Heterogeneous Cellular Network

Zhao¹,

Wu²,

Guo³

2018

dtcse

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Abstract. The 5G network has become one of the hottest research focuses. In this network, it is a consensus reached that the user terminals are high density and the cover of the base stations are multi-tier. The unbalance and variability of the spatial distribution and time of user services make the low utilization ratio of the network resources. A cell breathing algorithm based on energy efficiency is proposed in this paper which combines energy control, base station sleeping and cell zooming. The simulation shows that this algorithm makes the network performance better in energy efficiency and can balance the load of the base stations.

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Power consumption model of sector breathing based congestion control in mobile network

Mukherjee

Deb

2018

Digital Communications and Networks

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A cell breathing approach in green heterogeneous networks

Cited by 6 publications

References 12 publications

Energy Efficient Transmission Power Control Policy of the Delay Tolerable Communication Service

Energy Efficient Transmission Power Control Policy of the Delay Tolerable Communication Service

Cell Breathing Algorithm Based on Energy Efficiency in the High Density Heterogeneous Cellular Network

Power consumption model of sector breathing based congestion control in mobile network

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