Transmit signal design for optimal estimation of correlated MIMO channels
By Jayesh H. Kotecha, Akbar M. Sayeed. IEEE Transactions on Signal Processing, 2004
296 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/0ef1883056d8fae51830754840ca13919b0a6ca3
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In Electrical and Electronic Engineering
- Emil Björnson
- Luca Sanguinetti
- Eduard Axel Jorswieck
- Michail Matthaiou
- Robert W. Heath
- Linglong Dai
- D. J. Love
- Shahid Mumtaz
Citations in the corpus
- Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “This model can, for instance, be motivated by viewing channel estimation as the main source of uncertainty [13, 22, 138]; see Example 4.”
- Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory (2013, methodology): “Although we only consider MISO channels for simplicity, our framework can be easily extended to general MIMO channels with the vectorization approach in [14], [17].”
- MIMO radar waveform design based on mutual information and minimum mean-square error estimation (2007, background): “The theory of majorization can be applied even for positive semidefinite Hermitian matrix A. Readers are referred to [ 36 ]”
- A stochastic MIMO channel model with joint correlation of both link ends (2006, methodology): “Independently, a similar modeling approach has been introduced in [18]–[20].”
- Millimeter Wave Communications for Future Mobile Networks (2017, background): “As a result, the traditional channel estimation schemes [138], [139] requiring the sampled signals on all antennas will involve unaffordable pilot overhead in a hybrid architecture.”