MIMO Broadcast Channels With Finite-Rate Feedback
By Nihar Jindal. IEEE Transactions on Information Theory, 2006
329 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3ca59771a20196fcfa209124b88c99180190f77a
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
- Nihar Jindal
- Jeffrey G. Andrews
- D. J. Love
- Ahmed Alkhateeb
- Jun Zhang
- Eduard Axel Jorswieck
- Yijie Mao
In Electrical and Electronic Engineering
- Robert W. Heath
- Ahmed Alkhateeb
- Jeffrey G. Andrews
- Rui Zhang
- Nihar Jindal
- D. J. Love
- Bruno Clerckx
- Robert Schober
Citations in the corpus
- Networked MIMO with clustered linear precoding (2008, methodology): “For a frequency-division duplexing (FDD) system, the downlink CSI can be obtained by feedback fr om mobile users, and limited feedback for MU-MIMO is an ongoing topic [36]–[38], which we will not explore in this paper and perfect CSI is assumed.”
- Completely Stale Transmitter Channel State Information is Still Very Useful (2010, background): “L4(uB, vB) 0 L2(uA, vA) + L3(uB, vB) h†A1[3] (L2(uA, vA) + L3(uB, vB))”
- A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions (2022, methodology): “Ideally, the number of feed-back bits should scale linearly with the number of users [95], [242]–[244].”
- MIMO broadcast channels with finite rate feedback (2006, background): “Practical transmission structures that allow for simultaneous transmission to multiple mobiles, such as downlink beamforming, do exist.”
- Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems (2014, methodology): “Now, using a similar trick as in [35], [41], we can write a z , with z a unit-norm vector in the null-space of (cid:98) h u , and a = sin only in a sub-space of the K-dimensional space in which the codewords in H are uniformly distributed, the average quantization error can not be greater than the…”