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saved parity energy is distributed among a large k = log2 M bits of the information symbols. 6 Simulation Results The proposed method was simulated under AWGN. The system was tested using QAM-16 and QAM-64 for modulation and two parity bits for the PAD. Fig. 4 show the bit error rate for the PAD system when QAM-16 was used. Simi- larly, fig. 5 demonstrates the performance under QAM-64.
References
[1] B. Sklar, Digital Communications, Funda- mentals and Applications, 2nd ed. Upper Saddle, NJ 07458: Prentice Hall, 2001. [2] G. Ungerboeck, "Chanel coding with multi- level phase signals," IEEE Transactions on Information Theory, vol. IT-28, pp. 55-67, Jan. 1982.
103 lO- r-..
coded
107 L 3
4 5 6 7 8 9 SNR (dB)
10
Figure 4: The performance of PAD in terms of bit error probability Pb.
11 12 13 on QAM-16
uncoded
104
coded
10 107 1 n8i
6 8 10 12 14 SNR (dB)
16
Figure 5: The performance of PAD in terms of bit error probability Pb.
Alhabsi, Amer H.; Al-Rizzo, Hussain Mudhaffar Younis, 1957- & Akl, Robert G.Parity Assisted Decision Making for QAM Modulation,
paper,
September 2006;
[New York, New York].
(https://digital.library.unt.edu/ark:/67531/metadc30829/m1/5/:
accessed March 28, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Engineering.