Capacity of the Continuous-Space Electromagnetic Channel

Constructing the capacity bound of a multiple-input multiple-output wireless system is often performed by assuming specified antenna configurations and a propagation environment and determining the signaling strategy which maximizes throughput. This paper extends this approach to further determine t...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation Vol. 56; no. 2; pp. 524 - 531
Main Authors: Jensen, M.A., Wallace, J.W.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.02.2008
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Antenna arrays
Antenna radiation patterns
Antennas
Antennas and propagation
Applied classical electromagnetism
Applied sciences
Arrays
Channels
Eigenvalues and eigenfunctions
Electromagnetic propagation
Electromagnetic wave propagation, radiowave propagation
Electromagnetism; electron and ion optics
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Information theory
Mathematical analysis
Mathematical models
MIMO
Multipath channels
multiple-input multiple-output (MIMO) systems
Numerical models
Optimization
Physics
Radiocommunications
Receivers
Receiving antennas
Strategy
Switching and signalling
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Throughput
Transmitters. Receivers
MIMO system
Electromagnetism
Eigenfunction
Wireless telecommunication
Information rate
Transmitter
Signalling
Information transmission
Multipath channels
Optimal design
Numerical computation
multipath channels multiple- input multiple-output (MIMO) systems
Antenna
Information theory
ISSN:0018-926X, 1558-2221
Online Access:Get full text
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Description
Summary:Constructing the capacity bound of a multiple-input multiple-output wireless system is often performed by assuming specified antenna configurations and a propagation environment and determining the signaling strategy which maximizes throughput. This paper extends this approach to further determine the optimal antenna characteristics which maximize the capacity for the propagation scenario, with the resulting capacity bound representing the ultimate maximum achievable value if optimal antenna design and signaling are used. In this approach, the spatially-continuous transmit currents and receive fields are represented using eigenfunctions of appropriate operators. It is shown that, except under certain conditions where array supergain solutions emerge, the capacity remains bounded for finite transmit power. The approach also shows how to limit supergain effects using practical constraints. Model problems and numerical computations are provided for different power constraints at the transmitter and noise characteristics at the receiver.
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ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2007.915416