DocumentCode :
797855
Title :
Multiuser signaling in the symbol-synchronous AWGN channel
Author :
Ross, J. A Fergus ; Taylor, Desmond P.
Author_Institution :
Electron. Syst. Lab., GE Corp. Res. & Dev., Schenectady, NY, USA
Volume :
41
Issue :
4
fYear :
1995
fDate :
7/1/1995 12:00:00 AM
Firstpage :
1174
Lastpage :
1178
Abstract :
Multiuser signal set design for the energy-constrained linear real-additive symbol-synchronous additive white Gaussian noise channel is investigated in this correspondence. An argument is presented showing the suboptimality of binary alphabets which, in turn, uncovers a rule for the formation of multiuser signal sets. This simple rule leads to a theorem stating the dimensionality at which additional users can be added to a multiuser system without decreasing the minimum Euclidean distance. Specific vector sets with the desired property are then constructed as examples and some generalizations are discussed. The theorem may also be used as a platform for the design of more efficient multiuser codes incorporating redundant signal sets. Two such codes are presented. In particular, a code combining four-dimensional unit-energy signals with a rate-2/3 convolutional code obtains a summed rate of 1.75 bits/dimension in the two-user adder channel with received minimum Euclidean distance of 2
Keywords :
Gaussian channels; channel coding; convolutional codes; redundancy; synchronisation; binary alphabets; dimensionality; four-dimensional unit-energy signals; minimum Euclidean distance; multiuser codes; multiuser signal set design; multiuser signaling; rate-2/3 convolutional code; redundant signal sets; suboptimality; symbol-synchronous AWGN channel; two-user adder channel; vector sets; AWGN channels; Additive white noise; Convolutional codes; Delay effects; Detectors; Euclidean distance; Gaussian noise; Probability; Signal design; Signal detection;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.391265
Filename :
391265
Link To Document :
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