Lattice coding and decoding achieve the optimal diversity-multiplexing tradeoff of MIMO channels

By Hesham El Gamal, Giuseppe Caire, Mohamed Oussama Damen. IEEE Transactions on Information Theory, 2004

350 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0d3857cdd3ff93ba365c5deb53e0dab76c3bac5e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Giuseppe Caire
2. Bertrand M. Hochwald
3. Michael C. Gastpar
4. Hesham El Gamal
5. Bobak Anthony Nazer
6. Arogyaswami Paulraj
7. David Tse
8. Pramod Viswanath

In Computer Networks and Communications

1. Giuseppe Caire
2. Hesham El Gamal
3. Mohamed Oussama Damen
4. Robert W. Heath
5. Arogyaswami Paulraj
6. Bertrand M. Hochwald
7. David Tse
8. A. L. Swindlehurst

In Electrical and Electronic Engineering

1. Giuseppe Caire
2. Robert W. Heath
3. Hesham El Gamal
4. Bertrand M. Hochwald
5. A. L. Swindlehurst
6. Rui Zhang
7. Mohamed Oussama Damen
8. Nihar Jindal

Citations in the corpus

• A unified framework for tree search decoding: rediscovering the sequential decoder (2005, background): “For other classes of lattice codes [20], with more involved shaping regions , the information set does not take on the simple form of an “hypercube.”
• Compute-and-Forward: Harnessing Interference Through Structured Codes (2009, positive): “Subsequent work by El Gamal, Caire, and Damen showed that nested lattice codes achieve the diversity-multiplexing tradeoff of MIMO channels [17].”
• A simple Cooperative diversity method based on network path selection (2005, background): “In particular it is known that random lattice based codes (LAST) can achieve the entire diversity multiplexing tradeoff over MIMO channels [16].”
• A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation (2005, methodology): “A lattice technique was shown to achieve the diversity-versus-multiplexing tradeoff for point-to-point multiple-antenna channels in [27].”
• MIMO Transceiver Design via Majorization Theory (2007, neutral): “[37, 38, 87, 105]).”
• Multiple-antenna techniques for wireless communications - a comprehensive literature survey (2009, background): “Other space-time transmission schemes that approach the optimal diversity-multiplexing trade-off were proposed in [92]-[94].”
• Fundamentals of Wireless Communication (2005, methodology): “[34]; permutation codes for the parallel channel derived from D-BLAST , by Tavildar and Viswanath [117]; Golden code by Belfiore et.”
• MIMO Wireless Linear Precoding (2007, background): “) Without CSIT, STBC design achieving the optimal diversity-multiplexing trade-off is an active research area (see [44], [45] for some examples).”