Optimal transmitter eigen-beamforming and space-time block coding based on channel mean feedback
By Shengli Zhou, Georgios B. Giannakis. IEEE Transactions on Signal Processing, 2002
438 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/5a11fcef627eb09946ab3533dbe4078018d47515
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Mai H. Vu
- Arogyaswami Paulraj
- Hamid Jafarkhani
- Yindi Jing
- D. P. Palomar
- Antonio Pascual-Iserte
- Ana Isabel Pérez-Neira
- Miguel Angel Lagunas
In Electrical and Electronic Engineering
- Mai H. Vu
- Arogyaswami Paulraj
- D. P. Palomar
- Hamid Jafarkhani
- Yindi Jing
- Antonio Pascual-Iserte
- Ana Isabel Pérez-Neira
- Miguel Angel Lagunas
Citations in the corpus
- A robust maximin approach for MIMO communications with imperfect channel state information based on convex optimization (2006, methodology): “Two more examples are provided in [ 23 ] and [24], in which a statistical approach is taken to design a transmitter combining an Alamouti’s code [1], a power allocation, and two beamformers to minimize an upper bound of the BER according to the knowledge of the channel correlation matrix and the cha”
- MIMO Wireless Linear Precoding (2007, methodology): “Precoding with mean CSIT was designed to maximize the received SNR [7], or minimize the SER [19], the MSE [20], or the PEP [18], [21].”
- An overview of limited feedback in wireless communication systems (2008, neutral): “, [183], [269], [335], [367], [368].”
- Network Beamforming Using Relays With Perfect Channel Information (2008, background): “In many situations, appropriate combination of beamforming and space-time coding outperforms either one of the two schemes alone [34–37].”