Smart Grid Inspired Future Technologies. Second EAI International Conference, SmartGIFT 2017, London, UK, March 27–28, 2017, Proceedings

Research Article

Performance Evaluation of the Contention-Based Random Access of LTE Under Smart Grid Traffic

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  • @INPROCEEDINGS{10.1007/978-3-319-61813-5_17,
        author={Charalampos Kalalas and Francisco Vazquez-Gallego and Jesus Alonso-Zarate},
        title={Performance Evaluation of the Contention-Based Random Access of LTE Under Smart Grid Traffic},
        proceedings={Smart Grid Inspired Future Technologies. Second EAI International Conference, SmartGIFT 2017, London, UK, March 27--28, 2017, Proceedings},
        proceedings_a={SMARTGIFT},
        year={2017},
        month={9},
        keywords={LTE Random-Access Channel Smart-grid traffic Metering Monitoring Markov-Modulated Poisson Process},
        doi={10.1007/978-3-319-61813-5_17}
    }
    
  • Charalampos Kalalas
    Francisco Vazquez-Gallego
    Jesus Alonso-Zarate
    Year: 2017
    Performance Evaluation of the Contention-Based Random Access of LTE Under Smart Grid Traffic
    SMARTGIFT
    Springer
    DOI: 10.1007/978-3-319-61813-5_17
Charalampos Kalalas1,*, Francisco Vazquez-Gallego1,*, Jesus Alonso-Zarate1,*
  • 1: Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA)
*Contact email: ckalalas@cttc.es, francisco.vazquez@cttc.es, jesus.alonso@cttc.es

Abstract

Power distribution networks are often widely distributed to accommodate electrical power feeds to dense cities while monitoring and control systems typically require extensive information exchange among numerous intelligent electronic devices. Using the existing network infrastructure, cellular technology appears as a key enabler for the support of large-scale metering deployments and wide-area monitoring systems. In this paper, we evaluate the performance of the contention-based random-access mechanism of LTE networks for real-time monitoring and metering applications. In particular, the impact of smart grid traffic is investigated in terms of access delay and outage probability under different network configurations and traffic characteristics. Simulations of realistic network-overload scenarios demonstrate that the random-access channel of LTE/LTE-A is prone to congestion when a high number of smart grid devices attempt for network access, while the bursty nature of monitoring traffic results in even higher performance degradation.