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Channel Capacity is a specialized category for books that explore the fundamental limits of reliable data transmission over noisy communication channels and the techniques used to approach those limits. Titles in this area span core information theory (Shannon’s theorems, entropy, mutual information), capacity results for discrete memoryless and Gaussian channels, and extensions to multiuser and network settings. They also cover the design and analysis of practical systems that operate near capacity, including error-correcting codes (e.g., LDPC, turbo, polar), modulation schemes, detection and estimation, and architectures such as MIMO and OFDM across wireless, optical, satellite, and storage media. The category includes introductory texts, rigorous monographs, and application-focused handbooks, often connecting theory to constraints like bandwidth, power, latency, and reliability in modern communication systems.

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