A CDMA multiuser detection algorithm on the basis of belief propagation
By Yoshiyuki Kabashima. 2003
338 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/a00b6fd443758405edb4496ce94691d456020e60
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
- Lenka Zdeborov'a
- Florent Krzakala
- Sundeep Rangan
- M. M'ezard
- Andrea Montanari
- Sergio Verdú
- David L. Donoho
- Yifan Sun
In Computer Networks and Communications
- Sundeep Rangan
- Lenka Zdeborov'a
- Andrea Montanari
- Florent Krzakala
- David L. Donoho
- Arian Maleki
- Philip Schniter
- Sergio Verdú
In Molecular Biology
- David L. Donoho
- Andrea Montanari
- Sundeep Rangan
- Sergio Verdú
- Yifan Sun
- M. M'ezard
- Lenka Zdeborov'a
- Florent Krzakala
Citations in the corpus
- Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices (2012, methodology): “The equivalence between the two was pointed out for a related problem—the CDMA multiuser detection—in [32].”
- Statistical physics of inference: thresholds and algorithms (2015, background): “When the spreading code is not random iid but correspond to a spatially coupled random matrix then the performance of the CDMA system can be further improved [262, 281].”
- Generalized approximate message passing for estimation with random linear mixing (2010, methodology): “Prior to their work, analyses of approximate BP algorithms were based on either heuristic arguments such as [8], [9], [13], [14] or certain large sparse limit assumptions for the matrix A [2], [10], [11], [15], [16].”
- The Noise-Sensitivity Phase Transition in Compressed Sensing (2010, background): “Remarkable exceptions include [31], [22], and [30].”
- Randomly spread CDMA: asymptotics via statistical physics (2005, methodology): “Among others, mean field theory is used to derive iterative detection algorithm s [35], [36].”
- Message passing algorithms for compressed sensing: I. motivation and construction (2009, neutral): “Remarkable exceptions inc lude [13], [14], [15].”