Title :
On Minimal Eigenvalues of a Class of Tridiagonal Matrices
Author :
Cheng, Jay ; Berger, Toby
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
It is known that the worst case near-far resistance of optimum multiuser detectors for asynchronous Gaussian multiple-access channels can be expressed in terms of a class of block-tridiagonal matrices, and the minimal eigenvalues of such a class of block-tridiagonal matrices serve as a good measure of the worst case near-far resistance. In this paper, we focus on the two-user scenario where each block-tridiagonal matrix under consideration is a tridiagonal matrix. We derive closed-form expressions for the minimal eigenvalues of such a class of tridiagonal matrices in terms of the largest real solution of a trigonometric equation in [0,pi]. We also obtain lower bounds and upper bounds on the minimal eigenvalues which improve on previously known results in the literature.
Keywords :
Gaussian channels; eigenvalues and eigenfunctions; matrix algebra; multi-access systems; multiuser detection; asynchronous Gaussian multiple-access channel; block-tridiagonal matrix; closed-form expression; eigenvalues; multiuser detector; trigonometric equation; Closed-form solution; Degradation; Delay effects; Detectors; Eigenvalues and eigenfunctions; Electrical resistance measurement; Equations; Multiple access interference; Propagation delay; Upper bound; Minimal eigenvalues; multiple-access channels; multiuser detectors; near–far resistance; tridiagonal matrices;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2009.2030456