Future Machine-to-Machine Communications : LTE-A Optimization for M2M Applications
New
Book Details
Format
Paperback / Softback
ISBN-10
3955380300
ISBN-13
9783955380304
Edition
New
Publisher
ibidem-Verlag, Jessica Haunschild u Christian Schon
Imprint
WiSa
Country of Manufacture
DE
Country of Publication
GB
Publication Date
Aug 31st, 2018
Print length
246 Pages
Weight
326 grams
Dimensions
14.80 x 21.10 x 1.70 cms
Product Classification:
Communications engineering / telecommunicationsData capture & analysis
Ksh 4,700.00
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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 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.
This book is the essence of a scientific research endeavor 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 realized 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 utilization when serving M2M traffic.
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