{"id":14490,"date":"2026-10-21T08:31:36","date_gmt":"2026-10-21T06:31:36","guid":{"rendered":"https:\/\/www.telecom-sudparis.eu\/en\/?page_id=14490"},"modified":"2026-10-21T08:42:42","modified_gmt":"2026-10-21T06:42:42","slug":"communication-optimization-radio-and-navigation","status":"publish","type":"page","link":"https:\/\/www.telecom-sudparis.eu\/en\/eph\/communication-optimization-radio-and-navigation\/","title":{"rendered":"Communication, Optimization, Radio, and Navigation"},"content":{"rendered":"
\n \"\"\n
\n

<\/h2>\n
 \n

Electronics and Physics (EPh)<\/p><\/div>\n <\/div>\n <\/div>\n<\/div><\/div><\/div><\/div>

\n
\n
\n
<\/div>\n
\n <\/div>\n
\n
\n\n

\n\t Electronics and Physics Department: Communication, Optimization, Radio, and Navigation <\/h1>\n \n\t <\/header>\n
\n

Communication, Optimization, Radio, and Navigation<\/p>\n

The Communications, Optimization, Radio, and Navigation (CORN) group is responsible for teaching and research activities in the Electronics and Physics (EPH) department at Telecom SudParis.<\/p>\n

CORN<\/strong> is organized around several research areas:<\/p>\n

RF energy recovery (Ghalid Abib)<\/h2>\n

Connected devices are becoming increasingly common in everyday life. They enable the transmission of different types of data using various wireless standards, while being powered by batteries or cells. The growing demand for energy is prompting us to explore alternative power solutions and contribute to the development of a green IoT. Of the available alternative energy sources, we are particularly interested in radio frequency (RF) energy used in wireless systems (Wi-Fi, 5G, etc.). The main objective of this research is to convert ambient RF energy into direct current (DC) electrical energy that can power low-power connected devices. Due to the low levels of RF power received, the converted DC voltage is also low, requiring voltage supervisors. We are currently investigating voltage supervisors capable of operating at just a few hundred millivolts.<\/p>\n

Short-range communications (Muriel Muller)<\/h2>\n

Digitization in the healthcare sector is one of the key challenges in the years to come. This digital transformation will rely in part on the IoT and AI.<\/p>\n

This presents a real opportunity to develop solutions for noninvasive measurements and diagnostic support (during polysomnography) or preliminary diagnoses (using autonomous devices worn or used by patients), thanks to innovative medical devices that can effectively assist healthcare professionals.<\/p>\n

Our research in this field focuses on developing innovative sensors based on ultra-wideband (UWB) technology to detect sleep apnea. We will combine these architectures with advanced signal processing, data science, and AI techniques to identify the patient's respiratory phases.<\/p>\n

Many applications that require real-time indoor positioning are currently being developed. The limited penetration of GNSS signals indoors makes designing accurate indoor positioning and navigation systems challenging.\u00a0 In collaboration with the Telecom Paris\u2019 Comelec Department, we are developing an indoor ultra-wideband positioning technique that uses both radial distance (the Duplex method) and azimuth angle (the phase correlation (PC) method) measurements [Awarkeh et al., 2020]. The next stage will include determining the elevation angle and developing a demonstration platform.\u00a0\u00a0 Nour Awarkeh: \"2D Indoor Positioning System Using a Multistatic UWB Radar,\" PhD thesis defended on October 30, 2019.<\/p>\n

Antennas and Propagation (Christine Letrou) and Reconfigurable Intelligent Surfaces (RIS) - Integrated Sensing and Communication (ISAC) (Jose Manuel Rubio Hernan)<\/h2>\n

Recent work has primarily focused on demonstrating the value of the Gaussian beam tracing method based on Gabor frames for computing monostatic radar scattering in large-scale problems, considering both the number of reflections and the electromagnetic dimensions of the problem. The selected test scenarios consist of a reflecting block environment [Letrou et al., 2021b] and a large cavity [Letrou et al., 2022]. The results are compared with benchmark methods as part of a collaboration with Professor A. Boag of Tel Aviv University. Another line of research was recently launched in collaboration with Professors L. Klinkenbusch and G. Manara of the Universities of Kiel and Pisa. This research focuses on investigating the possible hybridization of the Gaussian beam tracing method with exact solutions to diffraction problems using complex sources [Klinkenbusch et al., 2023].<\/p>\n

Optimization (Nam Nguyen)<\/p>\n

This research focuses on designing, implementing, and validating real-time, embedded optimization algorithms for control systems and signal processing, that are suitable for low-cost hardware platforms, such as microcontrollers.<\/p>\n

The most significant constraints are:<\/p>\n