Ali Chamas Al Ghouwayel HDR

Al Ghouwayel Ali Chamas

Address:

IMT Atlantique - Campus de Brest - Grand Amphi

Ali Chamas AL GHOUWAYEL, from the department Mathematical and Eletronical Engineering d'IMT Atlantique, will present his research  to obtain an HDR - Habilitation à Diriger des Recherches in the field of Information and Communication Sciences and Technologies

("HDR" is a diploma that "sanctions recognition of the candidate's high scientific level, the originality of his or her approach in a field of science, his or her ability to master a research strategy in a sufficiently broad scientific or technological field, and his or her capacity to supervise young researchers. An HDR is a prerequisite for supervising a PhD thesis or acting as PhD thesis rapporteur)

The Topic : Advanced Algorithms and Architectures for Low Power Modern Communication
Systems

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Abstract:
My research centered on two main themes: 1) Optimization of Decoding Algorithms for Non-Binary (NB) Error-Correcting Codes and Design of High-Throughput Decoder Architectures, and 2) Modulation Techniques and Low-Power Transceiver Design. Two PhD project co-supervisions have been realized in each theme.
In the first theme, the focus was on developing advanced decoding algorithms for NB-LDPC and NB-Polar codes, with an emphasis on optimizing hardware architectures for low power, reduced complexity, and high throughput. A fully parallel CN-VN unit, core of the NB-LDPC decoder, was implemented, enabling single clock cycle message processing. For NB-Polar codes, a Polarization-Aware statistical optimization technique has been proposed, which reduced processing load by over 50% while maintaining performance comparable to existing algorithms.
The second theme addressed modulation and transceiver design for two system types: 1) Low Data Rate IoT, and 2) Ultra-High Data Rate in Sub-THz bands (90-200 GHz). 

In the first project, a new preambleless frame structure called Quasi-Cyclic Short Packet (QCSP) has been proposed, which combines Cyclic Code Shift Keying (CCSK) modulation with non-binary error correction, enabling the transmission with a 23% reduction in frame duration, and the detection at an SNR of -11 dB.
The second project targeted beyond-5G Sub-THz bands, where a Novel Index Modulation Dimension based on Filter Domain has been proposed, along with two novel schemes FSIM and IQFSIM, enhancing spectral and energy efficiency in Sub-THz environments. Future research will focus on AI-driven, neural network-based algorithms and hardware for emerging Embedded AI applications.
 

Organizer(s)

HDR accreditation from 'Université Bretagne Sud and the doctoral school mathSTIC Bretagne Océane

UBS             MathSTIC

 

Published on 28.11.2024
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