4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Traffic studies for DSA policies in a simple cellular context with packet services

  • @INPROCEEDINGS{10.1109/CROWNCOM.2009.5189371,
        author={Hany Kamal and Marceau  Coupechoux and Philippe  Godlewski},
        title={Traffic studies for DSA policies in a simple cellular context with packet services},
        proceedings={4th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2009},
        month={8},
        keywords={},
        doi={10.1109/CROWNCOM.2009.5189371}
    }
    
  • Hany Kamal
    Marceau Coupechoux
    Philippe Godlewski
    Year: 2009
    Traffic studies for DSA policies in a simple cellular context with packet services
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2009.5189371
Hany Kamal1,*, Marceau Coupechoux1,*, Philippe Godlewski1,*
  • 1: TELECOM ParisTech & CNRS LTCI, Paris, France
*Contact email: Hany.Kamal@Telecom-ParisTech.fr, Marceau.Coupechoux@Telecom-ParisTech.fr, Philippe.Godlewski@Telecom-ParisTech.fr

Abstract

DSA (dynamic spectrum allocation) techniques are very challenging when the quality of service has to be guaranteed in a flexible spectrum situation. In this paper, we present and analyze DSA policies for packet services in cellular context. A centralized model, where a meta-operator shares a common spectrum among different operators, is considered. We focus on two criteria for the policies design: the total welfare (sum of operators' rewards), and the blocking probability. We go through two steps to pass from the actual FSA (fixed spectrum allocation) situation into DSA. First, DSA algorithms depend on the arrival rates. Second, DSA algorithms depend on both the arrival rates as well as the number of active users. Targeting the reward maximization shows to be inefficient when the blocking probability has to be guaranteed. However policies targeting a blocking probability threshold, achieve greater rewards then FSA rewards. We also present a heuristic DSA algorithm that takes into consideration: the arrival rates, the number of active users and the blocking probability. The algorithm gives a very close blocking probability to the one achieved using FSA, while the obtained reward significantly exceeds the FSA reward.