Improved codes for space-time trellis-coded modulation
By Stephan Bäro, G. Bauch, A. Hansmann. IEEE Communications Letters, 2000
415 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/178f2e98e3302533a7245618be34f7fefade6dcb
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In Artificial Intelligence
- Hesham El Gamal
- Naofal Al-Dhahir
- Suhas N. Diggavi
- A. Robert Calderbank
- Georgios B. Giannakis
- Yan Xin
- Björn E. Ottersten
- Mikael Skoglund
In Computer Networks and Communications
- Georgios B. Giannakis
- David Gesbert
- Yan Xin
- Suhas N. Diggavi
- A. Robert Calderbank
- Anastasios Stamoulis
- Hesham El Gamal
- Mansoor Shafi
In Electrical and Electronic Engineering
- Georgios B. Giannakis
- David Gesbert
- A. Robert Calderbank
- Suhas N. Diggavi
- Anastasios Stamoulis
- Yan Xin
- Naofal Al-Dhahir
- Hesham El Gamal
Citations in the corpus
- From theory to practice: an overview of MIMO space-time coded wireless systems (2003, background): “It is important to note that as the number of antennas increases , the diversity effect will give diminishing returns.”
- Space-Time Codes for High Data Rate Wireless Communications (2002, methodology): “Using this generator matrix representation, an extensive computer search can be performed to find the best space-time trellis codes according to the rank/determinant criteria [52].”
- Great expectations: the value of spatial diversity in wireless networks (2004, background): “structions given in [242] can be found, for example, in [29] and [132].”
- On the theory of space-time codes for PSK modulation (2000, background): “[2] have conducted a computer search similar to that of Grimmet al.”
- Combining beamforming and orthogonal space-time block coding (2002, methodology): “For a similar solution based on the classic design criterion see, e.g., [25].”
- Space-time-frequency coded OFDM over frequency-selective fading channels (2002, methodology): “Performance improvement can be expected if we consider maximizing both diversity and coding gains for GSTF trellis codes (as in GSTF block codes), which will usually involve high-complexity computer search similar to the one performed in e.g., [ 3 ].”