NDLI: Continuous-time equivalents of welch bound equality sequences

Content Provider	IEEE Xplore Digital Library
Author	Joon Ho Cho Wen Gao
Copyright Year	2004
Description	Author affiliation: University of Massachusetts (Joon Ho Cho)
Abstract	In this paper, the optimal signaling problem for multiple-access communications over Gaussian overloaded channels is considered with equal-power users having linear minimum mean-squared error (LMMSE) receivers. Unlike previous similar work on the sequence design for code-division multiple-access (CDMA) communications where discrete-time or vector channel models are predominantly employed, the overloaded channel is modeled as a strictly band-limited, continuous-time multiple-access channel corrupted by an additive white Gaussian noise. After being posed as a multi-input/single-output (MISO) joint transmitter and receiver optimization problem with the total mean-squared error as the objective functional, the variational problem is solved by using a frequency-domain approach. It is shown that the matched filters are the optimal receivers and that there exist continuous-time equivalents of Welch bound equality (CTE-WBE) sequences as the optimal transmit waveforms. The user capacity of the band-limited channel in terms of the admissibility of users into the system is also characterized by a necessary and sufficient condition on the channel load, the received signal-to-noise ratio, and the maximum signal-to-interference ratio.
Starting Page	316
Ending Page	320
File Size	356931
Page Count	5
File Format	PDF
ISBN	0780385330
DOI	10.1109/ICC.2004.1312502
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-20
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transmitters Multiaccess communication Additive white noise MIMO Computer errors Vectors Matched filters Sufficient conditions Information theory Communication systems
Content Type	Text
Resource Type	Article

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