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. The candidate will design and analyse an energy consumption model for modern cellular base stations that accounts for contribution of multiple components and functions, such as idle static power, MIMO operation
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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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. 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