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Professor Mérouane Debbah to accept awards for two research papers at the 2022 IEEE ICC in Seoul

TII ·

MBZUAI's Prof. Mérouane Debbah will receive two awards at the 2022 IEEE ICC in Seoul. One paper analyzes reconfigurable intelligent surfaces (RISs) for 6G, highlighting spectral efficiency gains. The other paper explores energy-efficient distributed AI algorithms using quantized neural networks. Why it matters: This recognition highlights MBZUAI's contributions to cutting-edge research in wireless communications and sustainable AI, positioning the institute as a leader in these fields.

Communication in the Age of AI: AI for Communication and Communication for AI

MBZUAI ·

Joonhyuk Kang from KAIST gave a presentation at MBZUAI on AI's impact on wireless communication. The talk covered how communication systems can improve AI and how AI can develop wireless systems. Kang's research interests include signal processing for information transmission, security, and machine cognition. Why it matters: This talk highlights the growing intersection of AI and communication technologies in the region, with potential applications for smart cities and autonomous systems.

AIDRC’s Researchers Receive Best Paper Award at 2022 IEEE Global Communications Conference

TII ·

Researchers from the AI and Digital Science Research Center (AIDRC) won the Best Paper Award at the 2022 IEEE Global Communications Conference (GLOBECOM) for their paper "RSMA for Dual-Polarized Massive MIMO Networks: A SIC-Free Approach". The paper introduces a dual-polarized RSMA technique for downlink massive MIMO networks, using the polarization domain. Their approach relaxes the computational burden of successive interference cancellation and delivers high data rates. Why it matters: This award recognizes impactful research from the UAE on optimizing wireless communication using AI, which can contribute to advancements in 5G and beyond.

XXXIV General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science

TII ·

The 34th General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science (URSI) will be held in Rome from August 28 to September 4. The Technology Innovation Institute’s Directed Energy Research Center (DERC), led by Dr Chaouki Kasmi, will present a tutorial and five scientific papers. DERC's presentations will focus on advances in electromagnetics and optoelectronics. Why it matters: DERC's participation highlights the UAE's growing role in international radio science research and development.

TII Becomes Board Member of Prestigious Wireless World Research Forum

TII ·

Technology Innovation Institute (TII) has joined the Wireless World Research Forum (WWRF) as a board member. Prof. Mérouane Debbah from TII will also serve on the Steering Committee of WWRF. WWRF focuses on global wireless research, particularly the evolution and challenges beyond current 5G deployments. Why it matters: This membership allows TII to influence the development of 5G and future 6G telecommunications standards, enhancing its role in shaping the next generation of wireless technology.

A New Look at Time Reversal for 6G Wireless Communications

TII ·

AIDRC researchers co-authored an accepted IEEE Vehicular Technology Magazine article on time reversal for 6G wireless communications. The article presents experimental results on the spatiotemporal focusing capability of time reversal across carrier frequencies. It examines requirements for efficient time reversal operation and synergies with technologies like reconfigurable intelligent surfaces. Why it matters: The research explores advancements in 6G wireless communication, with potential implications for coverage extension, sensing, and localization capabilities in the region.

Professor Mérouane Debbah, co-authors receive 2022 IEEE TAOS TC Best GCSN Paper Award

TII ·

Professor Mérouane Debbah, Chief Researcher at AIDRC, and his co-authors received the 2022 IEEE TAOS TC Best GCSN Paper Award for their work on federated quantized neural networks. The paper, presented at IEEE ICC 2022, explores the tradeoff between energy, precision, and accuracy in these networks. The research proposes an optimal quantization level to minimize energy consumption during training, making it less prohibitive for mobile devices. Why it matters: The award recognizes work that reduces the carbon footprint of large-scale AI systems, a key challenge for sustainable AI deployment in the region and globally.