The objective of the reduction of the energy consumption in the next years has led the scientific community to investigate the possible solution to be adopted in the cellular networks: therefore, a huge attention is currently dedicated to the green radio techniques since even the future business models of the mobile telecom operators will be deeply influenced by the trends which will be chosen today. In this paper, two adaptive algorithms which are based on traffic forecast and real-time measurements are proposed and compared with the goal of the optimal radio resources management.
Traffic based energy saving strategies for green cellular networks / Simone Morosi; Enrico Del Re; Pierpaolo Piunti. - ELETTRONICO. - (2012), pp. 1-6. (Intervento presentato al convegno European Wireless, 2012. EW 18th European Wireless Conference. tenutosi a Poznan, Polonia nel 18 - 20 Aprile 2012).
Traffic based energy saving strategies for green cellular networks
MOROSI, SIMONE;DEL RE, ENRICO;PIUNTI, PIERPAOLO
2012
Abstract
The objective of the reduction of the energy consumption in the next years has led the scientific community to investigate the possible solution to be adopted in the cellular networks: therefore, a huge attention is currently dedicated to the green radio techniques since even the future business models of the mobile telecom operators will be deeply influenced by the trends which will be chosen today. In this paper, two adaptive algorithms which are based on traffic forecast and real-time measurements are proposed and compared with the goal of the optimal radio resources management.File | Dimensione | Formato | |
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