Comparer des méthodes

	Théorème de la capacité de canal de Shannon	Multiple-Input Multiple-Output (MIMO)
Domaine	Télécommunications	Télécommunications
Famille	Process / pipeline	Process / pipeline
Année d'origine	1948	1995
Auteur d'origine	Claude Shannon	Telatar, Foschini, and Gans
Type	fundamental theoretical bound	spatial multiplexing technique
Source fondatrice	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379-423.	Telatar, I. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585-595.
Alias	channel capacity, information theory bound	spatial multiplexing, antenna diversity
Apparentées	5	5
Résumé	Shannon'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.	MIMO is a technique that uses multiple transmit and receive antennas to significantly increase channel capacity and reliability. Pioneered theoretically by Telatar (1999) and Foschini & Gans (1998), MIMO exploits multipath propagation—typically a liability in wireless—as an asset by creating independent spatial channels. It is now fundamental to all modern wireless systems including LTE, WiFi-6, and 5G, where it provides both capacity gains through spatial multiplexing and robustness through diversity.