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to pack a large number of antenna elements at the transmitter and receiver side, thus enabling ultra-massive multiple-input multiple-output (UM-MIMO) with the potential of tera-bits per second data rates
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distributed MIMO systems. Your work assignments The research focus for the advertised position is machine learning for telecommunications. The position is part of the project "Machine learning for sensing in
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of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https
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RANs (UWA, Greece) DC5: Design of photonic processors for efficient neuromorphic data analysis (UWA, Greece) DC6: Design of XL-MIMO for CF networking (RAN, United Kingdom) DC7: Design of Compute Inter
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; at the regional-edge, it advances fronthaul support for CF radio units using multi-band XL-MIMO beamforming to double spectral efficiency versus mMIMO by leveraging context and array geometry, develops scalable
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XL-MIMO beamforming to double spectral efficiency versus mMIMO by leveraging context and array geometry, develops scalable Cloud Edge Continuum interconnection of data centers to at least halve SLA
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must be compatible with massive MIMO architectures, necessitating full-duplex operation and reciprocity. The project aims to establish an innovative IC-antenna co-design methodology for full-duplex