Combined Unequal Error Protection and Optimized Scaling for IEEE 802.11n Low Density Parity Check Codes
Abstract
performance. However, several new schemes are still being developed to improve their performance and reduce their complexity. In this paper, the performances of the IEEE 802.11n Low Density Parity Check codes are evaluated by combining three techniques: Unequal Error Protection, Optimized Scaling Factor and Failed Check Node. Unequal Error Protection is employed by mapping systematic bits onto prioritized constellation
points in 16-QAM and 64-QAM constellations. Optimized Scaling Factor is performed by obtaining scaling factors for each Eb/N0 values which are then used in both the check node and bit node update steps in the
Min-Sum decoding algorithm. Finally, Failed Check Node is incorporated to select the best decoded sequence among the different sequences obtained at each iterations. Simulation results showed that maximum
gains of 0.9 dB and 1.35 dB could be achieved as compared to conventional Low Density Parity Check codes decoding with 16-QAM and 64-QAM respectively in the range BER≤10-2.
Full Text:
PDFReferences
R. Gallager, “Low-density parity-check codes”, IRE Transactions on Information Theory, vol. 8, no. 1, pp. 21-28, 1962.
S.Y. Chung, "On the Design of Low-Density Parity-Check Codes within 0.0045 dB of the Shannon Limit", IEEE Comm Letters, vol.5, No. 2, 2001.
IEEE 802.16e Task Group, “Mobile Wireless MAN”, [Online] Available: http://www.ieee802.org/16/tge/
DVB, 2012. Digital Video Broadcasting (DVB); “Implementation guidelines for a second generation digital terrestrial television broadcasting system (DVB-T2)”, ETSI TS 102 831 V1.2.1 (2012-08), Available: http://www.etsi.org/deliver/etsi_ts/102800_102899/102831/01.02.01_60/ts_102831v010201p.pdf
IEEE 802.11n-2009 Standard, Available from: http://standards.ieee.org/getieee802/download/802.11n-2009.pdf
IEEE 802.11n, “Wireless LAN Medium Access Control and Physical Layer specifications: Enhancements for Higher Throughput”, IEEE P802.16n/D1.0, Mar 2006.
H. Lüders, A. Minwegen, and P. Vary, “Improving UMTS LTE Performance by UEP in High Order Modulation”, 7th International Workshop on Multi-Carrier Systems & Solutions (MC-SS 2009), Herrsching, Germany, 2009, pp.185-194.
T.P. Fowdur, Y. Beeharry and K.M.S Soyjaudah, “Performance of LTE Turbo Codes with Joint Source Channel Decoding, Adaptive Scaling and Prioritised QAM Constellation Mapping”, International Journal on Advances in Telecommunications, vol 6 no 3 & 4, 2013, pp.143-152.
T.P. Fowdur and B.N. Furzun, “Performance of IEEE 802.11n LDPC Codes with Modified Reliability Based Hybrid ARQ and Unequal Error Protection”, Proceedings of IEEE Eurocon 2015 Conference, 8-11th September 2015, Salamanca, Spain.
Y. Zhang, X. Li and H. Yang, “Unequal Error Protection in Image Transmission Based on LDPC Codes”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9, No.3, 2016, pp.1-10.
S. Yu and E. Joo, "LDPC Decoding by Failed Check Nodes for Serial Concatenated Code", ETRI Journal, vol. 37, no. 1, pp. 54-60, 2015.
M. Rakibul, D. Siam, M. Mostafa and I. Rahman, "Optimized Min-Sum Decoding Algorithm for Low Density Parity Check Codes", International Journal of Advanced Computer Science and Applications, vol. 2, no. 12, 2011.
J. Chen and M. Fossorier, "Near optimum universal belief propagation based decoding of low-density parity check codes", IEEE Transactions on Communications, vol. 50, no. 3, pp. 406-414, 2002.
S. J. Johnson, “Introducing Low Density Parity- Check Codes”, The University of Newcastle, http://sigpromu.org/sarah/SJohnsonLDPCintro.pdf [Accessed 20 December 2016].
Refbacks
- There are currently no refbacks.
Copyright (c) 2018 Journal of Electrical Engineering, Electronics, Control and Computer Science

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.