DocumentCode :
3125803
Title :
An efficient algorithm to calculate BICM capacity
Author :
Böcherer, Georg ; Altenbach, Fabian ; Alvarado, Alex ; Corroy, Steven ; Mathar, Rudolf
Author_Institution :
Inst. for Commun. Eng., Tech. Univ. Munchen, München, Germany
fYear :
2012
fDate :
1-6 July 2012
Firstpage :
309
Lastpage :
313
Abstract :
Bit-interleaved coded modulation (BICM) is a practical approach for reliable communication over the AWGN channel in the bandwidth limited regime. For a signal point constellation with 2m points, BICM labels the signal points with bit strings of length m and then treats these m bits separately both at the transmitter and the receiver. BICM capacity is defined as the maximum of a certain achievable rate. Maximization has to be done over the probability mass functions (pmf) of the bits. This is a non-convex optimization problem. So far, the optimal bit pmfs were determined via exhaustive search, which is of exponential complexity in m. In this work, an algorithm called bit-alternating convex concave method (Bacm) is developed. This algorithm calculates BICM capacity with a complexity that scales approximately as m3. The algorithm iteratively applies convex optimization techniques. Bacm is used to calculate BICM capacity of 4,8, 16, 32, and 64-PAM in AWGN. For PAM constellations with more than 8 points, the presented values are the first results known in the literature.
Keywords :
AWGN channels; convex programming; interleaved codes; iterative methods; probability; pulse amplitude modulation; radio receivers; radio transmitters; search problems; telecommunication network reliability; 64-PAM; AWGN channel; BACM; BICM capacity; PAM constellations; additive white Gaussian noise channels; bandwidth limited regime; bit-alternating convex concave method; bit-interleaved coded modulation; convex optimization techniques; exhaustive search; exponential complexity; iterative techniques; maximization; nonconvex optimization problem; probability mass functions; radio receiver; radio transmitter; reliable communication; signal points; AWGN; Complexity theory; Convergence; Educational institutions; Entropy; Optimization; Signal to noise ratio;
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.2012.6284133
Filename :
6284133
Link To Document :
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