Precoding in multiantenna and multiuser communications
By Christoph Windpassinger, Robert F. H. Fischer, Tomás Vencel, Johannes B. Huber. IEEE Transactions on Wireless Communications, 2004
562 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/cff8952aefb831f814ba2753bc9d66614cf3eda7
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
- Giuseppe Caire
- Mari Kobayashi
- Niranjay Ravindran
- Nihar Jindal
- Chan-Byoung Chae
- Sunghyun Cho
- Taiwen Tang
In Electrical and Electronic Engineering
- Robert W. Heath
- Nihar Jindal
- Giuseppe Caire
- Mari Kobayashi
- Niranjay Ravindran
- Chan-Byoung Chae
- Christos Masouros
- Sunghyun Cho
Citations in the corpus
- Exploiting Known Interference as Green Signal Power for Downlink Beamforming Optimization (2015, background): “Their suboptimal counterparts [4]–[6] offer a complexity reduction at a comparable performance.”
- MIMO Relaying With Linear Processing for Multiuser Transmission in Fixed Relay Networks (2008, methodology): “The proposed implementable relaying strategy using Tomlinson‐Harashima precoding is similar to the application of Tomlinson‐Harashima precoding in the MIMO broadcast channel [30], [ 31 ].”
- Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback (2007, background): “ of receivers as well as for systems with a very large user population [17]. Although linear beamforming is certainly not the only low complexity architecture for the MIMO broadcast [13], [14], [15], [16], its low complexity and near-capacity performance make it a very strong candidate for future im”