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Authors: Andreas Ahrens 1 ; Christoph Lange 2 and César Benavente-Peces 3

Affiliations: 1 Hochschule Wismar, University of Technology and Business and Design, Germany ; 2 Deutsche Telekom AG, Germany ; 3 Universidad Politécnica de Madrid, Spain

Keyword(s): Traffic Prediction, Network Energy Efficiency, Wiener Filtering, Demand-aware Network Operation, Dynamic Network Dimensioning, Green Communications.

Abstract: The energy demand of telecommunication equipment and networks has been identified to be significant. In the information society such networks are vital for societal and economic welfare as well as for the people’s private lives. Therefore an improved energy efficiency of telecommunication networks is essential in the context of sustainability and climate change. Load-adaptive regimes are a promising option for energy-efficient and sustainable network operation. As the capacity is adapted to temporally fluctuating traffic demands, they require a robust traffic demand estimation. As a potential solution to mitigate this problem, a method for reliable traffic demand forecasting on relevant time scales using Wiener filtering is presented. The results show that the capacity dimensioning based on the proposed Wiener filtering traffic estimation method leads to reliable outcomes enabling sustainable and efficient network operation.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Ahrens, A.; Lange, C. and Benavente-Peces, C. (2016). Traffic Estimation for Dynamic Capacity Adaptation in Load Adaptive Network Operation Regimes. In Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2016) - SPCS; ISBN 978-989-758-195-3; ISSN 2184-2817, SciTePress, pages 99-104. DOI: 10.5220/0005932800990104

@conference{spcs16,
author={Andreas Ahrens. and Christoph Lange. and César Benavente{-}Peces.},
title={Traffic Estimation for Dynamic Capacity Adaptation in Load Adaptive Network Operation Regimes},
booktitle={Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2016) - SPCS},
year={2016},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005932800990104},
isbn={978-989-758-195-3},
issn={2184-2817},
}

TY - CONF

JO - Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2016) - SPCS
TI - Traffic Estimation for Dynamic Capacity Adaptation in Load Adaptive Network Operation Regimes
SN - 978-989-758-195-3
IS - 2184-2817
AU - Ahrens, A.
AU - Lange, C.
AU - Benavente-Peces, C.
PY - 2016
SP - 99
EP - 104
DO - 10.5220/0005932800990104
PB - SciTePress

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