Special Issue "Information Theory for Communication Systems"
Deadline for manuscript submissions: closed (15 December 2020) | Viewed by 10303
Interests: fading channels; information theory at finite blocklength; quantization and sampling; rate–distortion theory
2. Institute of Communications Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan
Interests: optical communication; molecular communication; performance analysis of communication systems; connections between biology and information theory
The founding work of the field of information theory, Claude Shannon's 1948 article "A mathematical theory of communication", concerns the fundamental limits of communication systems. It is, therefore, not surprising that, since its origins, information theory has been very successful in providing performance benchmarks and design guidelines for numerous communication scenarios. This Special Issue aims to bring together recent research efforts that apply information theory to characterize and study the fundamental limits of communication systems. Possible topics include, but are not limited to the following:
- Asymptotic performance characterizations, such as channel capacity, second-order rates, or error exponents, of communication channels
- Nonasymptotic performance bounds for communication systems
- Information-theoretic limits of delay- and energy-limited communication systems
- Information-theoretic analyses of signal constellations and low-precision decoders
- Error-correcting codes for communication systems
Dr. Tobias Koch
Dr. Stefan M. Moser
Manuscript Submission Information
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- channel capacity
- communication systems
- energy-limited communications
- error-correcting codes
- error exponents
- low-latency communications
- low-precision decoders
- performance bounds
- second-order rates
- signal constellations