Limited feedback unitary precoding for spatial multiplexing systems
By D. J. Love, Robert W. Heath. IEEE Transactions on Information Theory, 2005
802 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1e66d882f1441f8222011d1097819bb8b3e2bf6c
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
- Robert W. Heath
- Emil Björnson
- D. J. Love
- Arogyaswami Paulraj
- David Gesbert
- Khaled Ben Letaief
- Ahmed Alkhateeb
- Jun Zhang
In Electrical and Electronic Engineering
- Robert W. Heath
- Ahmed Alkhateeb
- Emil Björnson
- Rui Zhang
- Shajahan Kutty
- Debarati Sen
- Derrick Wing Kwan Ng
- D. J. Love
Citations in the corpus
- Prospective Multiple Antenna Technologies for Beyond 5G (2019, methodology): “In the early 2000s, the single-user MIMO research shifted to techniques that adapt the transmit signal to the channel conditions using some level of transmit-side CSI [86]–[90].”
- Beamforming for Millimeter Wave Communications: An Inclusive Survey (2016, background): “The work in [178] explores the hybrid beamforming concept in limited feedback channels [179].”
- Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems (2016, methodology): “In practice, CSI can be accurately and efficiently obtained by channel estimation [18] at the receiver and further shared at the transmitter with effective feedback techniques [13], [35].”
- MIMO Wireless Linear Precoding (2007, background): “DRAFT 36 selected and important channel information for precoding [33], the index of the precoder from a codebook [61][62], or quantized channel information [63][64] (and references therein).”
- Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems (2015, background): “As the importance of channel state information was realized, effort shifted to the development of limited feedback precoding techniques, where the precoder is selected from a codebook of possible precoders known to both the transmitter and receiver [37], [38].”
- Spatially Sparse Precoding in Millimeter Wave MIMO Systems (2013, methodology): “practical systems, we propose to fulfill this channel knowledge requirement via limited feedback [20], [52]–[54].”
- An overview of limited feedback in wireless communication systems (2008, methodology): “in [155] that these various distances (which incidently yield very similar codebooks) can optimize different performance criteria.”