Research Area:  Internet of Things

Abstract:

Low-density parity-check (LDPC) codes have become the focal choice for next-generation Internet of things (IoT) networks. This correspondence proposes an efficient decoding algorithm, dual min-sum (DMS), to estimate the first two minima from a set of variable nodes for check-node update (CNU) operation of min-sum (MS) LDPC decoder. The proposed architecture entirely eliminates the large-sized multiplexing system of sorting-based architecture which results in a prominent decrement in hardware complexity and critical delay. Specifically, the DMS architecture eliminates a large number of comparators and multiplexors while keeping the critical delay equal to the most delay-efficient tree-based architecture. Based on experimental results, if the number of inputs is equal to 64, the proposed architecture saves 69%, 68%, and 52% area over the sorting-based, the tree-based, and the low-complexity tree-based architectures, respectively. Furthermore, the simulation results show that the proposed approach provides an excellent error-correction performance in terms of bit error rate (BER) and block error rate (BLER) over an additive white Gaussian noise (AWGN) channel.

Keywords:  

Author(s) Name:  Muhammad Asif , Wali Ullah Khan , H. M. Rehan Afzal , Jamel Nebhen ,Inam Ullah , Ateeq Ur Rehman , and Mohammed K. A. Kaabar

Publisher name:  Hindawi

DOI:  10.1155/2021/2029560

Volume Information:  

Paper Link:   https://www.hindawi.com/journals/wcmc/2021/2029560/