Design and Implementation of Practical Schedulers for M2M Uplink Networks: Using MATLAB
Сетевые технологии / Книги для мобильных устройств
Основная информация:
Название: Design and Implementation of Practical Schedulers for M2M Uplink Networks: Using MATLAB
Жанр: Нет
Автор: Akshay Kumar, Ahmed Abdelhadi
Год выпуска: 2018
Формат: PDF, RTF, EPUB
Размер: 10.17 MB
ISBN: 863619424775
Язык: Английский
СКАЧАТЬ Design and Implementation of Practical Schedulers for M2M Uplink Networks: Using MATLAB БЕСПЛАТНО EPUB - DOC - DJVU - RTF - PDFОписание: This book presents the design of delay-efficient packet schedulers for heterogeneous M2M uplink traffic classified into several classes, based on packet delay requirements, payload size, arrival process, etc. Specifically, the authors use tools from queuing theory to determine the delay-optimal scheduling policy. The proposed packet schedulers are designed for a generic M2M architecture and thus equally applicable to any M2M application.
Additionally, due to their low implementation complexity and excellent delay-performance, they authors show how they are also well-suited for practical M2M systems. The book pertains primarily to real-time process scheduler experts in industry/academia and graduate students whose research deals with designing Quality-of-Service-aware packet schedulers for M2M packet schedulers over existing and future cellular infrastructure.
Presents queuing theoretic analysis and optimization techniques used to design proposed packet scheduling strategies;
Provides utility functions to precisely model diverse delay requirements, which lends itself to formulation of utility-maximization problems for determining the delay- or utility-optimal packet scheduler;
Includes detail on low implementation complexity of the proposed scheduler by using iterative and distributed optimization techniques.
The QoS requirements of customers (such as maximum packet delay, packet loss, data rate, etc.) are fairly heterogeneous and depend on the set of applications being run at the mobile terminal. For instance, voice traffic needs a guaranteed data rate to ensure low latency, but they can tolerate high packet error rate without any discernible impact on the quality of the communication. On the other hand, TCP-based services such as email and file transfers work well with a best-effort service but require very low packet error rate. Therefore, the cellular traffic is usually characterized into multiple QoS classes based on the minimum data rate, maximum packet delay, and maximum packet error rate. Over the past few years, machine-to-machine (M2M) communications has become popular with multiple industrial, commercial, and residential smart applications such as industrial automation, smart grid, smart homes, etc. An M2M network comprises of very large number of networked sensing devices working together to provide smart services and applications. Recently, the idea of coexistence of M2M traffic along with traditional human-to-human (H2H) traffic in LTE network is also gaining momentum in the wireless industry. However, unlike the H2H cellular traffic, M2M traffic is uplink heavy with very small payload and stringent real-time service requirements. Thus the existing QoS solutions for cellular networks cannot be directly imported to M2M networks, and new QoS traffic classes need to be created. Hence, it is important to develop QoS-aware resource allocation schemes accounting for unique network topology, traffic characteristics, and QoS requirements of M2M network, which is the focus of this book.