5th International ICST Conference on Wireless Internet

Research Article

Joint power control and scheduling algorithm for Wi-Fi Ad-hoc networks

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  • @INPROCEEDINGS{10.4108/ICST.WICON2010.8528,
        author={Sangho Oh and Marco Gruteser and Daniel Jiang and Qi Chen},
        title={Joint power control and scheduling algorithm for Wi-Fi Ad-hoc networks},
        proceedings={5th International ICST Conference on Wireless Internet},
        publisher={IEEE},
        proceedings_a={WICON},
        year={2010},
        month={4},
        keywords={Ad hoc networks Closed-form solution Decoding Diversity reception Fading Power control Power system relaying Protocols Relays Scheduling algorithm},
        doi={10.4108/ICST.WICON2010.8528}
    }
    
  • Sangho Oh
    Marco Gruteser
    Daniel Jiang
    Qi Chen
    Year: 2010
    Joint power control and scheduling algorithm for Wi-Fi Ad-hoc networks
    WICON
    IEEE
    DOI: 10.4108/ICST.WICON2010.8528
Sangho Oh1,*, Marco Gruteser1,*, Daniel Jiang2,*, Qi Chen2,*
  • 1: WINLAB, Rutgers University, NJ 08902-3390, USA
  • 2: Mercedes-Benz Research & Development North America, Inc, 850 Hansen Way, Palo Alto, CA, USA
*Contact email: sangho@winlab.rutgers.edu, gruteser@winlab.rutgers.edu, daniel.jiang@daimler.com, qi.chen@daimler.com

Abstract

Power control is a widely used technique in improving the throughput and the quality of services in wireless communications. In this paper, a power control method based on a utility maximization method is applied to Ad-hoc networks built on Wi-Fi radios. First, a fully distributed power control algorithm is developed considering the different characteristics of discrete multi-rate Wi-Fi radios, then a novel joint power control and scheduling algorithm is proposed to maximize the network throughput without sacrificing fairness. The proposed algorithm has a linear complexity degree while other utility based sub-optimal algorithms have exponential complexity. Lastly, as a preliminary step for an application for real Wi-Fi networks, the SINR model of Wi-Fi radios is verified through an experimental research based on the power capture effects.