Enhancing QoS and Energy Efficiency of LTE/LTE-U/Wi-Fi Integrated Network Based on Adaptive Technique for Radio Structure Formation

Kahalo, Ihor; Beshley, Halyna; Beshley, Mykola; Panchenko, Oleksiy

doi:10.1109/ukrcon.2019.8879923

Cited by 8 publications

(2 citation statements)

References 19 publications

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“…One of the key parameters in the field of telecommunications energy is the energy consumption parameter [31]. This parameter refers to the amount of electricity consumed in transmitting one bit of information between two nodes [32][33][34]. Determining this parameter is an important task not only for reducing the required amount of energy for telecommunication networks, but also for the network as a whole.…”

Section: Methodology For Calculating the Energy Consumption Of Multil...mentioning

confidence: 99%

Methodology and Software Tool for Energy Consumption Evaluation and Optimization in Multilayer Transport Optical Networks

et al. 2020

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In communication networks, the volume of traffic, the number of connected devices and users continues to grow. As a result, the energy consumption generated by the communication infrastructure has become an important parameter that needs to be carefully considered and optimized both when designing the network and when operating it in real-time. In this paper, the methodology of calculation of complex parameters of energy consumption for transport telecommunication networks is proposed. Unlike the known techniques, the proposed methodology takes into account heterogeneity and multilayer networks. It also takes into account the energy consumption parameter during the downtime of the network equipment in the process of processing the service data blocks, which is quite an important task for improving the accuracy of energy consumption at the stage of implementing the energy-saving network. We also developed simulation software to estimate and manage the energy consumption of the optical transport network using the LabVIEW environment. This software tool allows telecommunication network designers to evaluate energy consumption, which allows them to choose the optimal solution for the desired projects. The use of electro-and acousto-optical devices for optical transport networks is analyzed. We recommended using electro-optical devices for optical modulators and acousto-optical devices for optical switches. The gain from using this combination of optical devices and the parameter of rij electro-optical coefficient and M2 acousto-optical quality parameter found in the paper is about 36.1% relative to the complex criterion of energy consumption.

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Section: Methodology For Calculating the Energy Consumption Of Multil...mentioning

confidence: 99%

Methodology and Software Tool for Energy Consumption Evaluation and Optimization in Multilayer Transport Optical Networks

et al. 2020

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“…Since energy costs contribute significantly to the total cost of the network, energy efficiency is an important requirement when designing modern network mechanisms, especially in the IoT infrastructure. However, developing energy efficient solutions is a complex task, as there is a trade-off between energy efficiency and network performance [36]. SDN ensures programmability of network elements by separating control and forwarding planes.…”

Section: The Proportional Energy Efficiency Approach For the Sdn Based Iot Platformmentioning

confidence: 99%

Measuring End-to-End Delay in Low Energy SDN IoT Platform

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In this paper, we developed a new customizable low energy Software Defined Networking (SDN) based Internet of Things (IoT) platform that can be reconfigured according to the requirements of the target IoT applications. Technically, the platform consists of a set of low cost and energy efficient single-board computers, which are interconnected within a network with the software defined configuration. The proposed SDN switch is deployed on Raspberry Pi 3 board using Open vSwitch (OvS) software, while the Floodlight controller is deployed on the Orange Pi Prime board. We firstly presented and implemented the method for measuring a delay introduced by each component of the IoT infrastructure, ranging from the sensor, the core of SDN, the IoT broker, to an IoT subscriber. Thus, we presented the approach for estimating energy efficiency for SDN based IoT platform proportional to the traffic. The experiments carried out on a real SDN topology based on single-board computers show that our approach not only saves up to 53.56% of energy at low traffic intensity, but also provides QoS guarantee for IoT applications.

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Enabling efficient and reliable IoT deployment in 5G and LTE cellular areas for optimized service provisioning

Mina

2022

J Supercomput

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Enhancing QoS and Energy Efficiency of LTE/LTE-U/Wi-Fi Integrated Network Based on Adaptive Technique for Radio Structure Formation

Cited by 8 publications

References 19 publications

Methodology and Software Tool for Energy Consumption Evaluation and Optimization in Multilayer Transport Optical Networks

Methodology and Software Tool for Energy Consumption Evaluation and Optimization in Multilayer Transport Optical Networks

Measuring End-to-End Delay in Low Energy SDN IoT Platform

Enabling efficient and reliable IoT deployment in 5G and LTE cellular areas for optimized service provisioning

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