G
Ghanim A. Al-Rubaye
Researcher at Newcastle University
Publications - 7
Citations - 25
Ghanim A. Al-Rubaye is an academic researcher from Newcastle University. The author has contributed to research in topics: Bit error rate & Gaussian noise. The author has an hindex of 3, co-authored 6 publications receiving 17 citations.
Papers
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Journal ArticleDOI
Performance evaluation of T-COFDM under combined noise in PLC with log-normal channel gain using exact derived noise distributions
TL;DR: In this article, the performance analysis of the proposed turbo-coded orthogonal frequency division multiplexing (T-COFDM) is investigated over the power-line communication with lognormal channel gain based on derived effective complex-valued ratio distributions of the individual and combined noise samples at the zero-forcing equaliser output.
Journal ArticleDOI
Low-density parity check coded orthogonal frequency division multiplexing for PLC in non-Gaussian noise using LLRs derived from effective noise probability density functions
TL;DR: In this paper, the performance of irregular low-density parity check (LDPC) coded orthogonal frequency division multiplexing (COFDM) utilising 4096 quadrature amplitude modulation (4096-QAM) is investigated over multipath power-line communication (PLC) channel.
Proceedings ArticleDOI
Improved performance of TC-OFDM-PLNC for PLCs using exact derived impulsive noise PDFs
TL;DR: An improvement to the end-to-end bit error rate (E2E-BER) performance of turbo-coded orthogonal frequency division multiplexing for physical layer network coding (TC-OFDM-PLNC) over power line communication (PLC) channels in the presence of impulsive noise is presented.
Proceedings ArticleDOI
Non-binary LDPC coded OFDM in impulsive power line channels
TL;DR: The proposed Irregular Non-Binary Low Density Parity Check codes with Signed Log Fast Fourier Transform (SL-FFT) decoding algorithm to overcome the harsh environment of power-line communication (PLC) channels achieves a coding gain of more than 21 dB compared to uncoded system.
Proceedings ArticleDOI
Optimal Threshold Calculation for Improved Impulsive Noise Mitigation in the Frequency Domain
TL;DR: This paper presents a novel optimal threshold calculation method to improve the IN frequency domain mitigation methods and considerably outperforms conventional frequency domain IN mitigation schemes.