DocumentCode :
1799459
Title :
On the allocation of double-binary turbo coded bits in the case of 16-QAM modulation
Author :
Balta, Haris ; Alexa, Florin ; Vesa, Andy
Author_Institution :
Commun. Dept., Politeh. Univ. Timisoara, Timişoara, Romania
fYear :
2014
fDate :
14-15 Nov. 2014
Firstpage :
1
Lastpage :
6
Abstract :
It is well known that the 16-quadrature amplitude modulation (16-QAM) differently protects the bits of the same symbol. In turbo-coded transmission systems, several ways for allocating the bits generated by the turbo encoder can be considered. Thus, the bits generated by the turbo encoder can occupy different positions in the modulator input symbol. In this paper, we investigated the performance of transmission systems, in terms of bit/frame error rate versus signal to noise ratio (BER/FERvsSNR), in case of using double-binary turbo codes (DBTC) and 16-QAM square modulation, in AWGN channel, for various allocation modes. In our simulation we considered two coding rates, namely ½ and ¾. Intensive simulations up to FER ≈ 10-7, allow some practical tips on choosing the best allocation methods, both in the water fall and error floor regions.
Keywords :
AWGN channels; binary codes; error statistics; modulation coding; quadrature amplitude modulation; turbo codes; AWGN channel; BER; DBTC; FER; QAM square modulation; SNR; bit error rate; coding rates; double-binary turbo coded bits; error floor regions; frame error rate; modulator input symbol; quadrature amplitude modulation; signal-to-noise ratio; turbo encoder; turbo-coded transmission systems; water fall regions; Bit error rate; Gain; Modulation; Resource management; Signal to noise ratio; Turbo codes; mapping; quadrature amplitude modulation; transmission channel; turbo code;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Telecommunications (ISETC), 2014 11th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4799-7266-1
Type :
conf
DOI :
10.1109/ISETC.2014.7010780
Filename :
7010780
Link To Document :
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