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Information Theoretic Methods for Future Communication Systems
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This reprint focuses on information and coding theoretic metrics, analyses, and methods applied to future communication and computation systems. Analyses of learning algorithms and information security problems are studied in detail. The main themes addressed are multiple access channels, interference channels, and delay-Doppler domain analysis, as well as secure and private compression, matrix multiplication, and transmission methods.
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Keywords
- 6G
- ADMM
- broadcast approach
- channel state information
- coarse quantization
- coded cache
- Coding theory
- Cooperation
- coordinate descent
- delay-Doppler channel
- device-to-device
- discrete Zak transform
- distributed computation
- distributed learning
- DoF
- Economics, finance, business & management
- error-control coding
- frequency-selective interference channel
- Gaussian broadcast wiretap channel
- Gaussian multiple-access wiretap channel
- Gaussian wiretap channel
- gradient coding
- Industry & industrial studies
- information rates
- Information technology industries
- information theoretic security
- instantaneous relay
- jamming
- Johnson bound
- K-user interference channel
- knowledge graph
- latency
- massive MIMO
- matrix multiplication
- Media, information & communication industries
- multiple access
- n/a
- orthogonal time frequency space modulation
- Plotkin bound
- polynomial codes
- precoding
- private key
- random codes
- remote source
- Rings
- secure communication
- secure source coding
- semantic communication
- semantic extraction
- semantic restoration
- side information
- time-frequency dispersive channel
- transmission delay
Links
DOI: 10.3390/books978-3-0365-7365-6Editions