Efficient algorithm for decoding layered space-time codes

By Dirk Wübben, Ronald Böhnke, J. Rinas, Volker Kühn, Karl-Dirk Kammeyer. 2001

532 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3f1576f5e892f6c264064dc6de92ce28a6301111

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

1. Ronald Böhnke
2. Karl-Dirk Kammeyer
3. Dirk Wübben
4. Volker Kühn
5. Christoph Studer
6. Andreas Peter Burg
7. Helmut Bölcskei
8. Lajos Hanzo

In Electrical and Electronic Engineering

1. Ronald Böhnke
2. Karl-Dirk Kammeyer
3. Dirk Wübben
4. Volker Kühn
5. Christoph Studer
6. Andreas Peter Burg
7. Cong Ling
8. Helmut Bölcskei

Citations in the corpus

• Soft-output sphere decoding: algorithms and VLSI implementation (2008, methodology): “A heuristic algorithm resulting in a good complexity/performance trade-off was proposed in [18] and will be referred to as sorted QR-decomposition (SQRD) in the following.”
• Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice reduction (2004, methodology): “Therefore, the Sorted QR Decomposition (SQRD) introduced in [11] and extended”
• Complex Lattice Reduction Algorithm for Low-Complexity Full-Diversity MIMO Detection (2009, methodology): “As an illustration, consider MIMO detection using SIC detector [20].”
• MMSE extension of V-BLAST based on sorted QR decomposition (2003, methodology): “A heuristic approach of arranging the order of detection into the QR decomposition for the ZF detection was presented in [2], [3].”