Vertaile menetelmiä

	Monitulo-monitulo (MIMO)	Alamoutikoodi avaruusaikakoodina	Ortogonaalinen taajuusjakoinen multipleksointi (OFDM)	Shannonin kanavakapasiteettiteoreema	Turbo-koodaus iteratiivisella dekoodauksella
Tieteenala	Tietoliikennetekniikka	Tietoliikennetekniikka	Tietoliikennetekniikka	Tietoliikennetekniikka	Tietoliikennetekniikka
Menetelmäperhe	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline
Syntyvuosi	1995	1998	1971	1948	1993
Kehittäjä	Telatar, Foschini, and Gans	Siavash Alamouti	Weinstein and Ebert	Claude Shannon	Claude Berrou, Alain Glavieux, and Punya Thitimajshima
Tyyppi	spatial multiplexing technique	space-time coding scheme	multicarrier modulation scheme	fundamental theoretical bound	iterative error-correcting code
Alkuperäislähde	Telatar, I. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585-595.	Alamouti, S. M. (1998). A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, 16(8), 1451-1458.	Weinstein, S. B., & Ebert, P. M. (1971). Data transmission by frequency-division multiplexing using the discrete Fourier transform. IEEE Transactions on Communication Technology, 19(5), 628-634.	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379-423.	Berrou, C., Glavieux, A., & Thitimajshima, P. (1993). Near Shannon limit error-correcting coding and decoding: Turbo-codes. In Proceedings of the IEEE International Conference on Communications (ICC), 1064-1070.
Rinnakkaisnimet	spatial multiplexing, antenna diversity	space-time coding, transmit diversity	multicarrier modulation	channel capacity, information theory bound	iterative decoding, concatenated codes
Liittyvät	5	5	5	5	5
Tiivistelmä	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.	The Alamouti code is an elegant space-time coding scheme that provides full transmit diversity using two antennas and a simple linear receiver. Introduced by Siavash Alamouti in 1998, it requires no channel state information at the transmitter, achieves the same bit-error rate as a single-antenna system with receiver diversity, and uses linear processing for decoding. The Alamouti code has become the de facto standard for transmit diversity in cellular systems and is adopted in LTE, WiFi, and many 5G protocols.	OFDM is a multicarrier modulation technique that divides a wideband channel into many narrowband orthogonal subcarriers. Introduced by Weinstein and Ebert in 1971, it exploits the duality between time and frequency domains to efficiently use spectrum while mitigating intersymbol interference in frequency-selective channels. OFDM is now the standard for high-speed wireless systems including WiFi, cellular LTE, and digital broadcasting.	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.	Turbo codes, introduced by Berrou, Glavieux, and Thitimajshima in 1993, are a landmark in channel coding history. They achieve performance within 0.5 dB of the Shannon limit—the theoretical boundary for reliable communication—a feat previously thought impossible with practical complexity. Turbo codes use concatenated convolutional codes with an interleaver and iterative decoding via belief propagation. They were adopted in 3G (UMTS) and remain important in 4G/5G systems alongside LDPC codes.