Sammenlign metoder

	Multiple-Input Multiple-Output (MIMO)	Shannon Kanal Kapacitetsteorem
Fagområde	Telekommunikation	Telekommunikation
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1995	1948
Ophavsperson	Telatar, Foschini, and Gans	Claude Shannon
Type	spatial multiplexing technique	fundamental theoretical bound
Oprindelig kilde	Telatar, I. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585-595.	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379-423.
Aliasser	spatial multiplexing, antenna diversity	channel capacity, information theory bound
Relaterede	5	5
Resumé	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.	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.