On the capacity of OFDM-based spatial multiplexing systems

By Helmut Bölcskei, David Gesbert, Arogyaswami Paulraj. IEEE Transactions on Communications, 2002

1,012 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3ddaca549b46ee8dc3706a792a41639c6467dde9

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A fourth-generation MIMO-OFDM broadband wireless system: design, performance, and field trial results (2002, background): “Multipath remains an advantage for a MIMO-OFDM system since frequency selectivity caused by multipath improves the rank distribution of the channel matrices across frequency tones, thereby increasing capacity [3].”
Fading relay channels: performance limits and space-time signal design (2004, background): “, a linear increase in achievable rate with the number of antennas in MIMO channels [23]–[26]) is conspicuously absent, since time is expended to create a virtual MIMO channel thereby negating any multiplexing gain.”
An overview of MIMO communications - a key to gigabit wireless (2004, methodology): “2) Spatial Multiplexing for MIMO-OFDM: Analogous to spatial multiplexing for frequency-flat fading MIMO channels with SC modulation, the objective of spatial multiplexing in conjunction with MIMO-OFDM, is to maximize spatial rate ( ) by transmitting independent data streams over different antennas [”
Optimal training design for MIMO OFDM systems in mobile wireless channels (2003, background): “1109/TSP.2003.811243 significant increase in capacity through the use of transmitter and receiver diversity [8].”
Performance of multiantenna signaling techniques in the presence of polarization diversity (2002, methodology): “Multiple antenna systems employ SM [1]-[5] to increase spectral eÆciency.”
Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM (2003, methodology): “Our discussion incorporates space-frequency codes [9]‐[14], as well as MIMO-OFDM-based spatial multiplexing [ 8 ].”
Soft-output sphere decoding: algorithms and VLSI implementation (2008, methodology): “All simulation results below are for a rate R = 1/2 (generator polynomials [133o 171o] and constraint length 7) convolutionally encoded MIMO-OFDM system [21] with MT = MR = 4, 16-QAM constellation (using Gray mapping), N = 64 tones, and soft-input Viterbi decoding [22].”
From theory to practice: an overview of MIMO space-time coded wireless systems (2003, background): “This was shown in particular in the case when the transmit channel is known [4] but also in the case when it is unknown [5].”
MIMO-OFDM wireless systems: basics, perspectives, and challenges (2006, methodology): “In the following, we describe the basics of spatial multiplexing and space-time coding with particular emphasis on the aspects arising from frequency-selective fading through multipath propagation and from the use of OFDM.”
Outdoor MIMO wireless channels: models and performance prediction (2002, methodology): “The benefit of multipath delay spread in terms of increasing the rank richness of the channel was demonstrated in [3] and [ 27 ].”