DocumentCode :
3124582
Title :
Approximate feedback capacity of the Gaussian multicast channel
Author :
Suh, Changho ; Goela, Naveen ; Gastpar, Michael
Author_Institution :
Res. Lab. of Electron., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2012
fDate :
1-6 July 2012
Firstpage :
2909
Lastpage :
2913
Abstract :
We characterize the capacity region to within log {2(M - 1)} bits/s/Hz for the M-transmitter K-receiver Gaussian multicast channel with feedback where each receiver wishes to decode every message from the M transmitters. Extending Cover-Leung´s achievable scheme intended for (M, K) = (2, 1), we show that this generalized scheme achieves the cutset-based outer bound within log {2(M - 1)} bits per transmitter for all channel parameters. In contrast to the capacity in the nonfeedback case, the feedback capacity improves upon the naive intersection of the feedback capacities of K individual multiple access channels. We find that feedback provides unbounded multiplicative gain at high signal-to-noise ratios as was shown in the Gaussian interference channel. To complement the results, we establish the exact feedback capacity of the Avestimehr-Diggavi-Tse deterministic model, from which we make the observation that feedback can also be beneficial for function computation.
Keywords :
Gaussian channels; channel capacity; channel coding; decoding; deterministic algorithms; feedback; multi-access systems; multicast communication; radio receivers; radio transmitters; radiofrequency interference; Avestimehr-Diggavi-Tse deterministic model; Cover-Leung scheme; Gaussian interference channel; K individual multiple access channel; M-transmitter K-receiver Gaussian multicast channel; channel parameter; cutset-based outer bound; feedback capacity approximation; message decoding; signal-to-noise ratio; unbounded multiplicative gain; Decoding; Encoding; Interference channels; Receivers; Signal to noise ratio; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
ISSN :
2157-8095
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2012.6284058
Filename :
6284058
Link To Document :
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