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: Integrated sensing and communication Cell-free massive MIMO beamforming, and MIMO algorithms Joint optimization of communication and computing resources Preferred qualifications A doctoral degree or an
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Elettronica | Italy | 2 months ago
activity will focus on the development of an FPGA-based digital beamforming processing system for real-time radar, sonar or MIMO communication applications. The work will include the definition
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research direction towards distributed MIMO (D-MIMO) systems opens new and exciting possibilities, with better spatial resolution on measurements. The project ”Machine learning for sensing in distributed
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defined radios ▪ Prior knowledge of wireless communication systems (MIMO-OFDM, LTE, 5G-NR) ▪ Prior knowledge of information theory Our offer ▪ Access to state‑of‑the‑art lab facilities at the TUM ACES Lab
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links with low intercept probability from advanced MIMO/beamforming solutions). contribute to the design of transceiver architectures in cross-disciplinary teams. lead and execute (funded) projects
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network optimization for 6G/FutureG wireless networks especially on the Internet of Intelligent Things under the supervision of Dr. Lingjia Liu (https://lingjialiu.ece.vt.edu). Successful candidates will
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. In addition, the MCAV approach can be optimized by leveraging information from all individual cavities, rather than relying solely on their vector sum, thereby enabling the development of a MIMO
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on cutting edge technological areas, such as artificial intelligence for wireless, neuromorphic computing, remote sensing, quantum communications, 6G satellite systems or ultra massive MIMO, among others? CTTC
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. Moreover, most advanced wireless systems rely on array-based operations, such as phased arrays or MIMO arrays, where thousands of antennas need to work in synchrony with hundreds of integrated circuit (IC