© 2018

Design and Implementation of Practical Schedulers for M2M Uplink Networks



Table of contents

  1. Front Matter
    Pages i-xi
  2. Akshay Kumar, Ahmed Abdelhadi, T. Charles Clancy
    Pages 1-6
  3. Akshay Kumar, Ahmed Abdelhadi, T. Charles Clancy
    Pages 7-14
  4. Akshay Kumar, Ahmed Abdelhadi, T. Charles Clancy
    Pages 15-80
  5. Akshay Kumar, Ahmed Abdelhadi, T. Charles Clancy
    Pages 81-144
  6. Akshay Kumar, Ahmed Abdelhadi, T. Charles Clancy
    Pages 145-197
  7. Akshay Kumar, Ahmed Abdelhadi, T. Charles Clancy
    Pages 199-201
  8. Back Matter
    Pages 203-214

About this book


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.


End-to-End Quality of Service (QoS) Delay-Optimal Packet Scheduler Distributed Optimization Traffic Modeling Lagrange Multipliers Proportional Fairness Iterative Algorithms Low-complexity Algorithm Adaptive Algorithm

Authors and affiliations

  1. 1.VT iDirectHerndonUSA
  2. 2.Virginia TechBlacksburgUSA
  3. 3.Virginia TechArlingtonUSA

About the authors

Akshay Kumar is currently a Systems Engineer in the ground systems architecture group at VT iDirect, USA. He received his Ph.D. in Electrical and Computer Engineering from Virginia Tech. in 2016. His research interests include designing efficient packet schedulers in wired/wireless networks, Quality-of-Service in cellular/satellite networks and network optimization for satellite networks. 

Dr. Ahmed Abdelhadi is a Research Assistant Professor in the Department of Electrical and Computer Engineering at Virginia Tech. He leads research projects in the areas of wireless systems, cyber physical systems, and security. At Virginia Tech, he joined as a research faculty research groups working on research related to security and privacy such as Hume Center for National Security and Technology, and wireless systems such as Wireless@Virginia Tech research group. He received his Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin. He coauthored more than 50 journal and conference papers, and 5 books in these research topics. He is also a senior member of IEEE.

Dr. Charles Clancy is an Associate Professor, Bradley Department of Electrical and Computer Engineering, at Virginia Tech. He is also Director, Hume Center for National Security and Technology; Co-Director, NSF Security and Software Engineering Research Center; and L-3 Communications Faculty Fellow in Cybersecurity, College of Engineering.

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