Physical-layer Aware Control and Optimization in Wireless Networks

With the explosive growth in demand for wireless
services,
the next generation wireless networks are expected to
provide solutions to cost-effective, ubiquitous,
always-on broadband access. There has been a general
consensus that developing network-level solutions
that take advantage of the interplay between the
physical-layer and the upper protocol layers would
yield significant performance gains. Thus motivated,
a common thread of this book is to study physical-
layer aware control and optimization in stochastic
wireless networks. Specifically, we want to obtain a
fundamental understanding of the following issues:
How can we take advantages of rich diversities such
as time/multi-user/multi-channel degrees of freedom
in wireless networks? How can we develop distributed
algorithms of joint rate control and MAC design for
end-to-end QoS provisioning? Are these distributed
algorithms stable in the presence of stochastic
noisy feedback? A principal objective of this book
is to develop systematic frameworks for solving
these issues.

Autorentext

Dong Zheng received his Ph.D. in Electrical Engineeringfrom Arizona State University, Tempe, in 2007. He joined NextWaveWireless as a Systems Engineer in Sep. 2007. Junshan Zhang received his Ph.D. from Purdue University in 2000. He iscurrently an Associate Professor in the Department of ElectricalEngineering at Arizona State University.

Klappentext

With the explosive growth in demand for wireless services, the next generation wireless networks are expected toprovide solutions to cost-effective, ubiquitous, always-on broadband access. There has been a general consensus that developing network-level solutions that take advantage of the interplay between thephysical-layer and the upper protocol layers would yield significant performance gains. Thus motivated, a common thread of this book is to study physical-layer aware control and optimization in stochastic wireless networks. Specifically, we want to obtain afundamental understanding of the following issues: How can we take advantages of rich diversities such as time/multi-user/multi-channel degrees of freedom in wireless networks? How can we develop distributed algorithms of joint rate control and MAC design for end-to-end QoS provisioning? Are these distributed algorithms stable in the presence of stochastic noisy feedback? A principal objective of this book is to develop systematic frameworks for solving these issues.