DocumentCode :
2979524
Title :
Coding for two-user Gaussian MAC with PSK and PAM signal sets
Author :
Harshan, J. ; Rajan, B. Sundar
Author_Institution :
Dept of ECE, Indian Inst. of Sci., Bangalore, India
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
1859
Lastpage :
1863
Abstract :
Constellation constrained (CC) capacity regions of a two-user Gaussian multiple access channel (GMAC) have been recently reported. For such a channel, code pairs based on trellis coded modulation are proposed in this paper with M-PSK and M-PAM alphabet pairs, for arbitrary values of M; to achieve sum rates close to the CC sum capacity of the GMAC. In particular, the structure of the sum alphabets of M-PSK and M-PAM alphabet pairs are exploited to prove that, for certain angles of rotation between the alphabets, Ungerboeck labelling on the trellis of each user maximizes the guaranteed squared Euclidean distance of the sum trellis. Hence, such a labelling scheme can be used systematically to construct trellis code pairs to achieve sum rates close to the CC sum capacity. More importantly, it is shown for the first time that ML decoding complexity at the destination is significantly reduced when M-PAM alphabet pairs are employed with almost no loss in the sum capacity.
Keywords :
Gaussian channels; maximum likelihood decoding; phase shift keying; trellis coded modulation; M-PAM alphabet pairs; M-PSK alphabet pairs; constellation constrained capacity; maximum likelihood decoding complexity; multiple access channel; squared Euclidean distance; sum alphabets; trellis coded modulation; two-user Gaussian MAC; AWGN channels; Channel capacity; Constellation diagram; Convolutional codes; Decoding; Euclidean distance; Labeling; Modulation coding; Phase shift keying; Signal design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4312-3
Electronic_ISBN :
978-1-4244-4313-0
Type :
conf
DOI :
10.1109/ISIT.2009.5205440
Filename :
5205440
Link To Document :
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