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Field
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a range of directions, including distributed MIMO and angular diversity. In this work, you will examine several trade-offs involved in scaling detector arrays, including bandwidth limitations
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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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have the chance to work with top-notched researchers from both academia and industry on future wireless systems spanning from novel physical layer waveforms designs (e.g., MIMO, OTFS) to online real-time
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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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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) chips, facing
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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
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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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wireless communications, where multisensor (MIMO) systems are, and will continue to be, a core technology. In this position, the candidate is expected to: carry out high-quality research on mutually agreed