MMSE extension of V-BLAST based on sorted QR decomposition
By Dirk Wübben, Ronald Böhnke, Volker Kühn, Karl-Dirk Kammeyer. 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484), 2003
546 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/d2c93c5877977058a759cdbff0c0c95700cc3c2b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Harald Haas
- Helmut Bölcskei
- Lajos Hanzo
- Christoph Studer
- Raed Mesleh
- Sangboh Yun
- Chang Wook Ahn
- Shaoshi Yang
In Computer Networks and Communications
- Harald Haas
- Lajos Hanzo
- Shaoshi Yang
- Raed Mesleh
- Ronald Böhnke
- Karl-Dirk Kammeyer
- Dirk Wübben
- Volker Kühn
In Electrical and Electronic Engineering
- Lajos Hanzo
- Harald Haas
- Shaoshi Yang
- Raed Mesleh
- Ronald Böhnke
- Karl-Dirk Kammeyer
- Dirk Wübben
- Volker Kühn
Citations in the corpus
- Soft-output sphere decoding: algorithms and VLSI implementation (2008, background): “Setting α = ±NoMT corresponds to an MMSE regularization [19], results in K = NoIMT , and yields a good performance/complexity trade-off.”
- Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice reduction (2004, methodology): “As shown in [6], [7], MMSE detection is equal to ZF with respect to an extended system model.”
- Spatial Modulation (2008, methodology): “These algorithms are based on QR decomposition [46], [47], Gram–Schmitt Orthog-”
- Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, background): “Some of the typical ordering criteria for ordered SIC (OSIC) include the decreasing signal-to-noise ratio (DSNR) criterion [310], [311], the greatest signal-to-noise ratio (GSNR) criterion [312], the increasing mean-square error (IMSE) criterion [311], and the least mean-square error (LMSE)”