Open AccessEfficient Scheme to Suppress the Disturbance of Impulsive Noise among IoT Devices
Author(s) -
Mohammed Sh. Ahmed,
Ahmed Noori Rashid,
Salah A. Aliesawi
Publication year - 2019
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.54.3.15
Subject(s) - orthogonal frequency division multiplexing , computer science , telecommunications link , fast fourier transform , transmission (telecommunications) , electronic engineering , bit error rate , multipath propagation , noise (video) , transmitter , wireless , internet of things , real time computing , computer network , telecommunications , engineering , embedded system , algorithm , channel (broadcasting) , artificial intelligence , image (mathematics)
Internet of Things (IoT) is a network of enormous things that are connected together for data communication. Therefore, IoT objects require an efficient technique for data communication. When transmitter power efficiency and performance improvement are of paramount importance, linear precoded orthogonal frequency division (LP- OFDM) is considered as a desirable candidate for uplink wireless transmission among IoT devices. However, negative ramifications of impulsive noise (IN) raise among millions of IoT devices based LP-OFDM systems need to be mitigated. In this work, a matrix interleaver (MI) is employed with LP-OFDM system to suppress the deleterious effect of IN on the performance of such a system when it is used as the transmission technique among the IoT devices. Consequently, the proposed scheme achieves a considerable bit-error-rate (BER) performance improvement when compared with the conventional approaches over multipath communication among IoT devices even in the presence of impulsive noise. Such BER improvement is achieved as a result of integrating the role of the linear precoders (i.e fast Fourier transform (FFT)) and MI to spread the effect of IN over large OFDM symbols.