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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.
This book presents spectrum sharing efforts between cellular
systems and radars. The book addresses coexistence algorithms for
radar and communication systems. Topics include radar and cellular
system models; spectrum sharing with small radar systems; spectrum
sharing with large radar systems; radar spectrum sharing with
coordinated multipoint systems (CoMP); and spectrum sharing with
overlapped MIMO radars. The primary audience is the radar and
wireless communication community, specifically people in industry,
academia, and research whose focus is on spectrum sharing. The
topics are of interest for both communication and signal processing
technical groups. In addition, students can use MATLAB code to
enhance their learning experience.
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