What is the value of limited feedback for MIMO channels?
By D. J. Love, Robert W. Heath, Wiroonsak Santipach, Michael L. Honig. IEEE Communications Magazine, 2004
556 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/af341c42eec72d2e7374bde8eb1a3073d36ce643
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
- Jeffrey G. Andrews
- Arogyaswami Paulraj
- David Gesbert
- Ali Ghrayeb
- Marios Kountouris
- Mai H. Vu
- Leszek Szczecinski
In Electrical and Electronic Engineering
- Robert W. Heath
- Jeffrey G. Andrews
- Arogyaswami Paulraj
- M. Di Renzo
- David Gesbert
- Lajos Hanzo
- Emil Björnson
- Ali Ghrayeb
Citations in the corpus
- Shifting the MIMO Paradigm (2007, methodology): “The feedback problem has been solved in SU-MIMO communication systems using a concept known as limited feedback precoding [30].”
- A robust maximin approach for MIMO communications with imperfect channel state information based on convex optimization (2006, background): “See [51], and references therein, for a general overview of different vector quantization strategies with limited feedback.”
- MIMO Wireless Linear Precoding (2007, background): “The feedback overhead has motivated the area of finiterate or limited feedback precoding (see [65] for an overview).”
- MIMO over Satellite: A Review (2011, background): “advantages of MU-MIMO, limited feedback communications [55] have produced significant results [56].”
- MIMO Broadcast Channels With Finite-Rate Feedback (2006, background): “the transmitter uses such feedback to more accurately direct its transmitted energy towards the receiver, and even a small number of bits per antenna can be quite beneficial [6].”
- Space shift keying modulation for MIMO channels (2009, background): “Extensions to limited feedback adaptive design (such as [33]) is also an interesting topic for research.”
- MIMO Relaying With Linear Processing for Multiuser Transmission in Fixed Relay Networks (2008, methodology): “A well-known approach for feedback is using vector quantization or limited feedback [42], [43].”
- Overcoming interference in spatial multiplexing MIMO cellular networks (2007, background): “for achieving transmit diversity using antenna subset selection [5], [6] or transmit precoding with limited feedback [ 7 ] for example.”