Title :
Enhancing the error-correcting performance of LDPC codes for LTE and WiFi
Author :
Bhurtah, Insah ; Catherine, Pierre Clarel ; Sunjiv Soyjaudah, K.M.
Author_Institution :
Fac. of Eng., Univ. of Mauritius, Réduit, Mauritius
Abstract :
Low-density parity-check (LDPC) codes are one of the most powerful error-correcting codes for wireless communication of high-speed data. This power comes from an efficient decoding scheme, the sum-product algorithm (SPA), which runs over the bipartite graph defining the code. In this work, we propose to use a modified version of the decoding algorithm over the LDPC codes used in Long Term Evolution (LTE) and WiFi and demonstrate that with the same number of iterations, without any increase in time complexity, we can achieve an enhanced error-correcting performance. The only trade off of the system is the necessary storage of the decoding sets, for a total size of ns × n, where ns is the number of decoding sets used and n is the codeword length. In this work, the maximum value of ns used is 5, which makes the trade-off fairly acceptable, considering that the coding gain is obtained virtually free-of-charge.
Keywords :
Long Term Evolution; error correction codes; graph theory; iterative methods; parity check codes; wireless LAN; LDPC codes; LTE; Long Term Evolution; SPA; WiFi; bipartite graph; efficient decoding scheme; error-correcting codes; low-density parity-check codes; sum-product algorithm; time complexity; wireless communication; Bipartite graph; Bit error rate; Decoding; IEEE 802.11 Standards; Integrated circuits; Iterative decoding;
Conference_Titel :
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8889-1
DOI :
10.1109/CCAA.2015.7148600