Description

This book is the essence of a scientific research endeavour aspired to tackle the challenges of ever-growing data traffic in mobile networks. The contemporary mobile communication systems offer efficient services to broadband applications. However, narrowband Machine-to-Machine (M2M) data traffic handling remains still a concern. This book advocates a set of protocols for aggregation and multiplexing of M2M data traffic at an intermediate node before transmission to the core network. The devised framework is realised by two independent methods: the simulation approach and the analytical approach. The outcomes obtained through both methods are compared to validate the results. The statistical significance of simulation results is established by the determination of confidence intervals. The findings suggest significant improvements in radio resource utilisation when serving M2M traffic.

Future Machine-to-Machine Communications: LTE-A Optimization for M2M Applications

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Paperback / softback by Safdar Nawaz Khan Marwat

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This book is the essence of a scientific research endeavour aspired to tackle the challenges of ever-growing data traffic in... Read more

    Publisher: ibidem-Verlag, Jessica Haunschild u Christian Schon
    Publication Date: 31/08/2018
    ISBN13: 9783955380304, 978-3955380304
    ISBN10: 3955380300

    Number of Pages: 246

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    This book is the essence of a scientific research endeavour aspired to tackle the challenges of ever-growing data traffic in mobile networks. The contemporary mobile communication systems offer efficient services to broadband applications. However, narrowband Machine-to-Machine (M2M) data traffic handling remains still a concern. This book advocates a set of protocols for aggregation and multiplexing of M2M data traffic at an intermediate node before transmission to the core network. The devised framework is realised by two independent methods: the simulation approach and the analytical approach. The outcomes obtained through both methods are compared to validate the results. The statistical significance of simulation results is established by the determination of confidence intervals. The findings suggest significant improvements in radio resource utilisation when serving M2M traffic.

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