| Title | A Traffic Estimation Method for Dynamic Capacity Adaptation Targeting Energy Savings in Load Adaptive Communication Networks |
|---|---|
| ID_Doc | 71214 |
| Authors | Ahrens, A; Lange, C; Purvinis, O; Zascerinska, J |
| Title | A Traffic Estimation Method for Dynamic Capacity Adaptation Targeting Energy Savings in Load Adaptive Communication Networks |
| Year | 2020 |
| Published | |
| Abstract | A challenging task for energy-efficient and sustainable network operation is the load-adaptive operation of communication networks and hence its network elements such as routers, switches and access multiplexers. Since the traffic is temporally fluctuating, load-adaptive control of the network requires a robust traffic demand estimation. The aim is to develop a simulation model for dynamic capacity adaptation based on the analysis of Wiener filtering for traffic prediction underpinning energy savings in communication network. The results show that the capacity dimensioning based on the proposed Wiener filtering traffic forecasting leads to reliable outcomes in terms of predicted traffic enabling sustainable and efficient network operation. |
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