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2 2024

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Reliable 5G waveform detection from an optical fibre transmitter system

Yaseen Zeyad T., Algriree Waleed

Opto-Electronics Review

2024

Vol. 32, No. 1

art. no. e149181

The integration of optical fibre communication with multiple input multiple output-non-orthogonal multiple access (MIMO-NOMA) waveforms in cognitive radio (CR) systems is examined in this study. The proposed system leverages the advantages of optical fibre, including high bandwidth and immunity to electromagnetic interference to facilitate the transmission and reception of MIMO-NOMA signals in a CR environment. Moreover, MIMO-NOMA signal was detected and analysed by the hybrid-discrete cosine transform-Welch (H-DCT-W) method. Based on the modes results, a detection probability greater than 0.96%, a false alarm probability equal to 0.06, and a global system error probability equal to 0.09% were obtained with a signal-to-noise ratio (SNR) less than 0 dB, while maintaining a simple level of complexity. The results obtained in this paper indicate the potential of the optical fibre-based MIMO-NOMA system based on H-DCT-W technology in CR networks. Therefore, its suitability for practical CR applications is demonstrated by the improvements obtained in false alarms, detection probability, and error rates at low levels of SNR. This study contributes to the development of efficient and reliable wireless communication systems by linking cooperation and synergy concerning MIMO-NOMA, optical fibres, as well as the proposed detection technique (H-DCT-W).

Design and Analysis LCCL–LC Compensation for Electric Vehicle Systems

Alghrairi Mokhalad, Mutashar Saad, Algriree Waleed, Ridha Hussein Mohammed, Sabbar Bayan Mahdi

Advances in Science and Technology. Research Journal

2024

Vol. 18, no 4

273--281

The shift, towards cars (EVs) plays a role in the global effort to combat climate change by reducing dependence on fossil fuels. An important part of this shift involves creating user EV charging systems. This study looks into how a connected coil design in a wireless power transfer system can help overcome challenges in EV charging when dealing with varying loads. We examine how well the system performs under load resistances that mimic states of charge and battery capacities in EVs. By assessing the stability of output voltage and efficiency of power transfer across these loads we focus on maintaining resonance within the system. Our findings show that the LCCL to LC WPT system maintains efficiency in power transfer (50-94) % when Coupling Coefficient change (0-0.9) at load resistance 3ꭥ and stable output voltage when facing changes in load resistance (1-4.5)ꭥ. This suggests that the system is resilient against load variations, which's crucial for real world EV charging situations. This research supports the potential of WPT systems as an efficient solution to meet the evolving demands of EV infrastructure leading towards increased adoption of EVs and a sustainable future, for transportation.