Space-time block codes: a capacity perspective

By S. Sandhu, Arogyaswami Paulraj. IEEE Communications Letters, 2000

434 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/21facd313afcdefec1ae4d40d4f26600dc50c01a

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Capacity and error probability analysis for orthogonal space-time block codes over fading channels (2005, background): “First presented in [1] for two transmit antennas, and generalized in [2] and [3] for an arbitrary number of transmit antennas, orthogonal space-time block coding is a remarkable technique which can provide full diversity gain with very low computational complexity.”
High-rate codes that are linear in space and time (2002, background): “Portions of our argument may also be found in [23], [24].”
Space-Time Codes for High Data Rate Wireless Communications (2002, result): “It is well known [85, 124] that by increasing the spatial diversity order of STBC further, performance in terms of reliability and capacity is bounded by AWGN results.”
Space-Time Block Coding for Wireless Communications (2003, background): “Antenna selection has been studied in a variety of papers, including [Sandhu et al., 2000], [Heath et al.”
Switching between diversity and multiplexing in MIMO systems (2005, background): “In independent identically distributed (i.i.d.) Rayleigh matrix channels, spatial multiplexing can achieve the full ergodic capacity (with a suitable outer code) unlike diversity transmission [8], [ 9 ] but does not offer the same diversity gain as with MIMO diversity [10].”
Diagonal algebraic space-time block codes (2002, background): “On the other hand, the DAST block codes have higher data rates (for ) than the ST codes from orthogonal design; thus, it can be proved that the information loss (compared to the multiantenna capacity) is smaller for the DAST block codes, which implies a quantified gain proportional to the informatio”
Universal space-time coding (2003, background): “Definition 1: The information loss of a TAST code is given by the difference between the ergodic capacity of the equivalent uncoded system in (12) and the ergodic capacity of the original channel [31], [45].”
An overview of MIMO communications - a key to gigabit wireless (2004, background): “Note that , with equality only if every realization of the MIMO channel has rank 1 and [46].”
Multiple-antenna techniques for wireless communications - a comprehensive literature survey (2009, background): “based on channel capacity and the resulting average symbol error rate can be found in [65] and [66], respectively.”