DocumentCode
1616819
Title
Analysis of Overlapped Code Division Multiple Access System in Gaussian Multiple Access Channel
Author
Yang, Xing ; Mo, Yong ; Jiang, Wei ; Li, Daoben
Author_Institution
Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., Beijing
fYear
2008
Firstpage
1230
Lastpage
1237
Abstract
This paper proposes an overlapped code division multiple access (OVCDMA) system where each user is assigned a unique convolutional spreading code and all the users access the channel simultaneously. Node error probability and symbol error probability upper bounds of OVCDMA in Gaussian multiple access channel are derived based on the random coding arguments. The former one ensures the existence of convolutional spreading code dedicated to M-ary (M>2) modulation and the later one is tight for moderate signal-to-noise ratio. In addition, the random coding simulation results show that the symbol error rate gets lower by increasing the convolutional spreading code length. Finally, several convolutional spreading codes dedicated to QPSK are found by random coding search and free Euclidean distance calculation. They are compared with conventional modulation scheme under the condition of same spectral efficiency. Simulations for these fixed convolutional spreading codes show that notable coding gain are achieved in Gaussian multiple access channel.
Keywords
Gaussian channels; channel coding; code division multiple access; convolutional codes; error statistics; quadrature phase shift keying; random codes; Euclidean distance calculation; Gaussian multiple access channel; M-ary modulation; QPSK; convolutional spreading code; node error probability; overlapped code division multiple access system; random coding search; symbol error probability; Convolution; Convolutional codes; Error analysis; Error probability; Euclidean distance; Modulation coding; Multiaccess communication; Quadrature phase shift keying; Signal to noise ratio; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2075-9
Electronic_ISBN
978-1-4244-2075-9
Type
conf
DOI
10.1109/ICC.2008.240
Filename
4533276
Link To Document