Advances in Multiuser Detection 2008
DOI: 10.1002/9780470473818.ch4
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Performance with Random Signatures

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Cited by 5 publications
(2 citation statements)
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“…1 First consider a preliminary random experiment with unit norm vectors v 1 and g 1 that are isotropically distributed on the unit sphere, and the matrix H 11 , which has unit-variance complex Gaussian i. i. d. elements. In a large system, the singular values of H 11 are deterministic [8]. Furthermore, the matrix containing the left and right singular bases are unitary, so that when they are multiplied with any unit norm vector, the resulting unit norm vector is also isotropically distributed on the unit sphere.…”
Section: Max-of-l Alignment (Mla)mentioning
confidence: 99%
See 1 more Smart Citation
“…1 First consider a preliminary random experiment with unit norm vectors v 1 and g 1 that are isotropically distributed on the unit sphere, and the matrix H 11 , which has unit-variance complex Gaussian i. i. d. elements. In a large system, the singular values of H 11 are deterministic [8]. Furthermore, the matrix containing the left and right singular bases are unitary, so that when they are multiplied with any unit norm vector, the resulting unit norm vector is also isotropically distributed on the unit sphere.…”
Section: Max-of-l Alignment (Mla)mentioning
confidence: 99%
“…Proof Sketch: In a large system, the singular values of H 11 are deterministic and are governed by the Marčenko-Pastur distribution; the maximum singular value approaches 2 √ N (see, e. g., [8]). Therefore, the rate for the first user approaches log(4N ).…”
Section: Achievable Rate Offset With K = Nmentioning
confidence: 99%