Advanced PhYsical Layer Optimization Methods for energy-efficient wireless systems

Research Article

Adaptive Weighted Round Robin (AWRR) Scheduling for Optimization of the Wireless Medium Virtualisation

Download
1007 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-16644-0_58,
        author={Gorka Hernando and Susana P\^{e}rez and Jos\^{e} Cabero},
        title={Adaptive Weighted Round Robin (AWRR) Scheduling for Optimization of the Wireless Medium Virtualisation},
        proceedings={Advanced PhYsical Layer Optimization Methods for energy-efficient wireless systems},
        proceedings_a={PHYLOM},
        year={2012},
        month={10},
        keywords={Virtualisation Adaptive TDMA Scheduler Optimization Weighted Round Robin},
        doi={10.1007/978-3-642-16644-0_58}
    }
    
  • Gorka Hernando
    Susana Pérez
    José Cabero
    Year: 2012
    Adaptive Weighted Round Robin (AWRR) Scheduling for Optimization of the Wireless Medium Virtualisation
    PHYLOM
    Springer
    DOI: 10.1007/978-3-642-16644-0_58
Gorka Hernando1,*, Susana Pérez1,*, José Cabero1,*
  • 1: TECNALIA-Telecom, Technology Center
*Contact email: ghernando@robotiker.es, sperez@robotiker.es, jmcabero@robotiker.es

Abstract

Network virtualisation has been recently presented as a mean to overcome the saturation of the current Internet by sharing the same infrastructure by different network operators. This work considers virtualisation of the wireless medium, a way to share common network physical resources by different Virtual Operators based on a Time Division Multiple Access technique. We propose an Adaptive Weighted Round Robin scheduler as a means to optimize the assignment of time slots to each virtual operator and improve the performance of the system. End-to-end delay and packet loss are the metrics used in this paper to show the potential and limitations of wireless virtualisation as a way to increase the network usage. This research is presented as a simulation-based study developed over the widely used NS2 network simulator. Different scenarios and network topologies are considered in order to assess the benefits of using the proposed scheduler.