株式会社極東書店トップ商品一覧Design and Implementation of Practical Schedulers for M2M Uplink Networks: Using MATLAB. Softcover reprint of the original 1st ed. 2018

商品詳細

Design and Implementation of Practical Schedulers for M2M Uplink Networks: Using MATLAB. Softcover reprint of the original 1st ed. 2018

Design and Implementation of Practical Schedulers for M2M Uplink Networks: Using MATLAB. Softcover reprint of the original 1st ed. 2018

・ISBN 978-3-030-08613-8 paper EUR 99.99

¥26,726.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者Kumar, Akshay / Abdelhadi, Ahmed / Clancy, T. Charles,
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2018
ページ数214 pp.
言語ENG
ニュース番号<A03-39902>

解説

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.