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Nadharia ya Uwezo wa Idhaa ya Shannon×Misimbo ya Polar yenye Uondoaji Mfululizo×
NyanjaMawasiliano ya SimuMawasiliano ya Simu
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili19482009
MwanzilishiClaude ShannonErdal Arikan
Ainafundamental theoretical boundrecursive error-correcting code
Chanzo asiliaShannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379-423. DOI ↗Arikan, E. (2009). Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels. IEEE Transactions on Information Theory, 55(7), 3051-3073. DOI ↗
Majina mbadalachannel capacity, information theory boundchannel polarization, recursive codes
Zinazohusiana55
MuhtasariShannon's channel capacity theorem, published in 1948, establishes the maximum rate at which information can be reliably transmitted over a noisy channel. Expressed as C = B log2(1 + S/N) for additive white Gaussian noise (AWGN), it is a fundamental bound in information theory and communications engineering. Shannon proved that reliable communication is possible at any rate below capacity, and impossible above it. This theorem underpins the design of all modern communication systems and motivates coding theory, modulation, and signal processing techniques.Polar codes, introduced by Erdal Arikan in 2009, are the first constructive family of codes proven to achieve the Shannon capacity of symmetric binary-input memoryless channels. They use recursive construction and successive cancellation decoding, a simple greedy algorithm with theoretical guarantees. Polar codes were adopted in 5G NR for control channel coding and are studied for future 6G systems. Unlike turbo and LDPC codes (which are empirical), polar codes provide rigorous theoretical foundations.
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ScholarGateLinganisha mbinu: Shannon Capacity · Polar Codes. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare