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Can I read Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks on EtoBox?
Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks by Tho Le-Ngoc, Atoosa Dalili Shoaei is a nonfiction available to read on EtoBox.
What is Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks about?
This book assists readers with understanding the key aspects, problems and solutions related to the design of proper Multiple Access Schemes for MTC (Machine-Type Communications) and IoT applications in 5G-and-beyond wireless networks. An overview of MTC applications and their traffic features are also provided. In addition, it presents a comprehensive review of MTC access schemes including orthogonal multiple access schemes (OMA), non-orthogonal multiple access schemes (NOMA), massive MIMO-based schemes and fast uplink grant approaches. It also proposes efficient and reconfigurable access schemes deploying machine learning and optimization techniques to address the main requirements of MTC networks. This book discusses potential research directions to further enhance the performance of MTC access schemes. Machine-type communications are expected to account for the dominant share of the traffic in future wireless networks. While in traditional wireless networks, designed for human-type communications, the focus is on support of large packet sizes in downlink, machine-type communication systems deal with heavy uplink traffic. This is due to the nature of the tasks performed by machi
Who reads Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Tho Le-Ngoc, Atoosa Dalili Shoaei
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030603816
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Computer Science
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