Сравнение методов

	Теорема Шеннона о пропускной способности канала	Многовходовая многовыходная система (MIMO)
Область	Телекоммуникации	Телекоммуникации
Семейство	Process / pipeline	Process / pipeline
Год появления	1948	1995
Автор метода	Claude Shannon	Telatar, Foschini, and Gans
Тип	fundamental theoretical bound	spatial multiplexing technique
Основополагающий источник	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.
Другие названия	channel capacity, information theory bound	spatial multiplexing, antenna diversity
Связанные	5	5
Сводка	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.