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Do Communication Engineers Need Circuit Theory

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The high level of abstraction taken by information theory ... Prof. Josef A. Nossek, Fellow IEEE. Munich University of Technology. 98/5/21 Thu. 1:30~3:20PM ... – PowerPoint PPT presentation

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Title: Do Communication Engineers Need Circuit Theory


1
?EECS-Circuit Theory,Communications and
Signal Processing?????????
Do Communication Engineers Need Circuit Theory?
Prof. Josef A. Nossek, Fellow IEEE Munich
University of Technology 98/5/21 Thu. 130320PM
Engineering Building 4 Room 219 (??? 219 )
Abstract Do communication and information
engineers get the physics right in their models?
Do the basic model structures adequately
translate physical reality? These are the central
questions which will be addressed in this
lecture. The high level of abstraction
taken by information theory makes it a very
versatile and powerful tool for the analysis and
optimization of communications systems. But
information theory has no concept of the flow of
energy that accompanies the flow of information.
Therefore, some important aspects of
communication systems such as transmit power or
noise covariance can by no means be
straightforwardly mapped from the information
theoretic context to technical reality. An
effective method will be presented to complement
information theory with such a mapping by
applying classical circuit theory. This allows
correct assessment of the energy flow in a
communication system and thereby enables an
information theoretic analysis and optimization
which is consistent with the underlying physics.
After developing appropriate circuit theoretic
channel models, the potential performance of
multi-antenna communication systems will be
analyzed and surprising new results and insights
will be revealed. Besides the study of channel
capacity, new limits for transmit and receive
antenna array gain are also derived. All the
new results have been obtained with the
application of classical circuit theory which
extends the mathematical theory of communications
to engineering science.
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