Multiuser detection and spectrum balancing for digital subscriber lines.

Multiuser detection and spectrum balancing fo ...
Vincent Man Kin Chan, Vincent ...
Locate

My Reading Lists:

Create a new list



Buy this book

Last edited by WorkBot
December 15, 2009 | History

Multiuser detection and spectrum balancing for digital subscriber lines.

This thesis proposes power control algorithms for maximizing the transmission rates in digital subscriber line systems where crosstalk is the major performance-limiting factor. First, a joint multiuser detection and optimal spectrum balancing algorithm is proposed for the case when the DMT blocks are perfectly aligned. Assuming that the set of tones subject to multiuser detection can be arbitrarily selected, this algorithm uses the idea of dual decomposition to jointly determine the optimal set of tones and the optimal transmit power allocation scheme. Second, we investigate the effect of DMT block misalignment. Inter-carrier interference is induced as a result. Heuristic algorithms are proposed to maximize transmission rates in this case. The main idea of the algorithms is to perform a neighborhood gradient search on the solution derived from an existing spectrum balancing algorithm. To reduce the algorithmic complexity, an approximation method using the first-order power series expansion is suggested.

Publish Date
Language
English
Pages
77

Buy this book

Book Details


Edition Notes

Source: Masters Abstracts International, Volume: 44-02, page: 0986.

Thesis (M.A.Sc.)--University of Toronto, 2005.

Electronic version licensed for access by U. of T. users.

GERSTEIN MICROTEXT copy on microfiche (1 microfiche).

The Physical Object

Pagination
77 leaves.
Number of pages
77

Edition Identifiers

Open Library
OL19216797M
ISBN 10
0494072490

Work Identifiers

Work ID
OL12683476W

Community Reviews (0)

No community reviews have been submitted for this work.

Lists

History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 15, 2009 Edited by WorkBot link works
October 21, 2008 Created by ImportBot Imported from University of Toronto MARC record