Channel Modeling

Accurate knowledge of the channel over which communication occurs is essential for high data-rate transmission. Channel modelling provides the means for acquiring this knowledge.

H. Nyquist
H. Nyquist
The modelling of channels was one of the earliest motivating forces behind Communication Theory and Information Theory. The work of Harry Nyquist (1889-1976) for the telegraph transmission line in 1928 formed a foundation of Information Theory. Channel models for telecommunications are used to extract data from the distortions caused by communication environments and to design signals to exploit and counteract environmental distortions. Modelling may be theoretical, where mathematical abstractions are used to characterize environments, or experimental where measurement apparatus is used to test theoretical models and hypothesize new ones. Both theoretical and experimental models are combined in physical devices (modems) which use the Channel Model to improve error performance and data rates. Channel modelling encompasses all telecommunication channels, from wireless indoor to telephone lines, to terrestrial radio and deep-space communications and even quantum communications. Each type of communication medium must be characterized in order to ensure accurate data transmission. Theoretical developments in Channel Modelling have initiated advances in communication applications.

The theoretical work of Harry Nyquist may be credited as one of the pre-requisites of modern digital signal processing within all digital devices -- from mobile handsets to cruise-control in cars. Channel Modelling techniques have also seen significant advances in wired telephony, from echo-cancellation to broadband internet over telephone lines.

Key Research Challenges:

A key challenge for Channel Modelling is to produce parsimonious models which accurately reflect the physical environment while remaining computationally simple and providing intuitive insight into the communication channel. For wireless communication we still do not completely understand the channel behavior. Advances in Channel Modelling will lead to new technologies and have long-term consequences for data transmission. Specific projects may include

  • Pragmatic codes for channel estimation
  • Channel model incorporation in code design
  • Broadband and Ultra-wideband channels
  • Quantum communication channels
  • Channels with multiple continuous parameters

More Information

Australian Channel Modeling Researchers

Researcher
Abbosh, Amin M
Abhayapala, Thushara D
Athaudage, Chandra
Bialkowski, Marek Edward
Collings, Iain B
Daniels, Graham Ross
Davis, Linda M
Dissanayake, Tharaka Nuwan Weerabaddana
Elkashlan, Maged
Faulkner, Mike
Hanlen, Leif Whyte
Hedley, Mark
Ho, Tsun Yue
Jacka, Colin Eric
Jayalath, Dhammika
Jones, Haley M
Karmakar, Nemai
Krusevac, Snezana M
Lamahewa, Tharaka Anuradha
Lee, Wee Sit
Lowery, Arthur James
MARTIN, Gregory Theodore
McDonnell, Mark Damian
Murray, Boyd Mcgregor
Rakic, Aleksandar D.
Rezaeian, Mohammad J
Sadeghi, Parastoo
Sithamparanathan, Kandeepan
Smith, David Burton
Stirling, David
Suzuki, Hajime
Tang, Zhongwei
Tran, Le Chung
White, Langford B
Zhang, Weimin
Zhu, Weiping

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