Framework for evaluating energy efficiency of access networks

Aleksić, Slaviša; Franzl, Gerald; Bogner, Thomas; Tinkhof, Oskar Mair am

doi:10.1109/iccw.2013.6649294

Cited by 8 publications

(3 citation statements)

References 14 publications

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“…A similar situation can also be found in exhaust gas scrubbers where chemical feeds have to be optimized based upon input data from sensors located at a distance. Despite the massive recent increase in bandwidth of communication networks [32], emerging trends such as seamless integration of enterprise and automation networks [33] and Internet of Things (IoT) [34] where more and more entities are networked, result in increased utilization and consequential congestion which can lead to undesirable results such as delay, delay variation (jitter) and packet drops [35]. These consequences can cause significant stability issues in control systems [36] [37].…”

Section: A Motivating Example and Problem Statementmentioning

confidence: 99%

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems

Premaratne

Halgamuge

Tan

et al. 2020

IEEE Trans. Control Netw. Syst.

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Extremum Seeking Control (ESC) is a data-driven optimization technique that can steer a dynamic plant towards an extremum of an unknown but measurable, input to steadystate map. In the context of Networked Control Systems (NCS) a new implementation method for ESC inspired by the well known Luus-Jaakola algorithm is proposed. The main motivation is to minimize the communication burden associated with the search phase of ESC. In the proposed method the controller only requires a notification of a change registered at the sensor, rather than the full information available at the sensor. This event based approach leads to sporadic packet transmission. In addition the proposed method is able to directly account for constraints whilst seeking for the desired extremum. The constraints may be of the inequality or equality type. The algorithm's behavior is illustrated on a networked water pump control system.

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Section: A Motivating Example and Problem Statementmentioning

confidence: 99%

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems

Premaratne

Halgamuge

Tan

et al. 2020

IEEE Trans. Control Netw. Syst.

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“…As an example, we model a hypothetical radio access network for the City of Vienna. According to the statistical data on areas and population densities [47] and the typical network configuration and coverage for the City of Vienna, we estimate the required number of base station sites (see Figure 7b) and, consequently, the number of network elements, such as Node B, RNC and backhaul equipment using the tool for the evaluation of the energy efficiency of access networks presented in [48,49]. We also estimate the required total length of copper and fiber cables, as well as the time-of-the-day-dependent traffic profiles.…”

Section: E-lca Of Radio Access Networkmentioning

confidence: 99%

Energy, Entropy and Exergy in Communication Networks

Aleksić¹

2013

Entropy

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The information and communication technology (ICT) sector is continuously growing, mainly due to the fast penetration of ICT into many areas of business and society. Growth is particularly high in the area of technologies and applications for communication networks, which can be used, among others, to optimize systems and processes. The ubiquitous application of ICT opens new perspectives and emphasizes the importance of understanding the complex interactions between ICT and other sectors. Complex and interacting heterogeneous systems can only properly be addressed by a holistic framework. Thermodynamic theory, and, in particular, the second law of thermodynamics, is a universally applicable tool to analyze flows of energy. Communication systems and their processes can be seen, similar to many other natural processes and systems, as dissipative transformations that level differences in energy density between participating subsystems and their surroundings. This paper shows how to apply thermodynamics to analyze energy flows through communication networks. Application of the second law of thermodynamics in the context of the Carnot heat engine is emphasized. The use of exergy-based lifecycle analysis to assess the sustainability of ICT systems is shown on an example of a radio access network.

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“…The power consumption of network elements is determined by defining generic structures of each network element and summing up the values of power consumption at the component (subfunction) level. A detailed description of both the network and the energy consumption model can be found in [4,[9][10][11].…”

Section: Network Modelmentioning

confidence: 99%

Energy efficiency of optically backhauled LTE: A case study

Aleksić¹,

Deruyck

Joseph

2013

2013 International Conference on Electromagnetics in Advanced Applications (ICEAA)

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Abstract-Nowadays, we are witnesses of fast penetration of high data-rate cellular networks such as the Long Term Evolution (LTE). With increasing average access data rates in mobile networks, also the requirements on networks providing backhaul for the wireless infrastructure are increasing. New radio interfaces are already capable of providing hundreds of Mbps over a single radio link between a base station and a user, which means that the future backhaul network should be able to provide a connection to base station sites in the order of Gbps. As optical access networks are able to provide a very high bandwidth practically almost independent on distance as well as high energy efficiency, it seems that a combination of mobile wireless access with optical access networks is a very promising integrated approach for a sustainable and efficient next generation ubiquitous access network. Wireless cellular and optical wired access networks provide synergies and complementary features. The main benefits of using a kind of wireless access are mobility and ubiquity while optical access networks provide high data rates, low power consumption and robustness.In this paper, we investigate various options for deploying LTE in urban areas with a particular emphasis on energy efficiency. For the purpose of evaluation, we apply an access network model to estimate both power consumption and achievable access data rates for various deployment scenarios and show results of a case study for the city of Vienna. The considered deployment scenarios are assessed regarding their potential for improving energy efficiency.

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Framework for evaluating energy efficiency of access networks

Cited by 8 publications

References 14 publications

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems

Energy, Entropy and Exergy in Communication Networks

Energy efficiency of optically backhauled LTE: A case study

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