Description

Book Synopsis
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

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    A Paperback / softback by Safdar Nawaz Khan Marwat

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

      Description

      Book Synopsis
      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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