DocumentCode :
1256274
Title :
Capacity of root-mean-square bandlimited Gaussian multiuser channels
Author :
Cheng, Roger S. ; Verdu, Sergio
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Volume :
37
Issue :
3
fYear :
1991
fDate :
5/1/1991 12:00:00 AM
Firstpage :
453
Lastpage :
465
Abstract :
Continuous-time additive white Gaussian noise channels with strictly time-limited and root-mean-square (RMS)-bandlimited inputs are studied. The capacity of the single-user and two-user RMS-bandlimited channels are found in easy-to-compute parametric forms and are compared to the classical formulas for the capacity of strictly bandlimited channels. In addition, channels are considered where the inputs are further constrained to be pulse-amplitude-modulated waveforms. The capacity of the single-user RMS-bandlimited PAM channel is shown to coincide with Shannon´s capacity formula for the strictly bandlimited channel. This shows that the laxer bandwidth constraints precisely offsets the PAM structural constraint and illustrates a tradeoff between the time-domain and frequency-domain constraints. In the synchronous two-user channel, the pair of pulses that achieves the boundary of the capacity region is derived, and it is shown that the shapes of the optimal pulses depend not only on the bandwidth but also on the respective signal-to-noise ratios.
Keywords :
channel capacity; information theory; pulse amplitude modulation; white noise; Gaussian multiuser channels; PAM structural constraint; RMS-bandlimited channels; Shannon´s capacity formula; additive white Gaussian noise; channel capacity; continuous time AWGN channels; frequency-domain constraints; pulse-amplitude-modulated waveforms; root-mean-square; signal-to-noise ratios; synchronous two-user channel; time domain constraints; Additive white noise; Amplitude modulation; Bandwidth; Frequency domain analysis; Gaussian channels; Multiuser channels; Pulse modulation; Pulse shaping methods; Shape; Signal to noise ratio;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.79901
Filename :
79901
Link To Document :
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