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, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless communications systems. The candidate will investigate advanced MIMO
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, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless communications systems. The candidate will investigate advanced MIMO
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candidate will contribute to cutting-edge research on the modeling, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless
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testbed located at LU and the expertise of one of the world's leading MIMO researchers who is a part of the research group: https://ieeexplore.ieee.org/abstract/document/6736761 The main focus
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of channel estimation, channel sounding, and multipath modeling (channel impulse response, frequency response, MIMO models, AoA, AoD, delay, Doppler, etc). RF Systems: Familiarity with RF front-ends, antennas
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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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); - Experience with data balancing techniques; - Desirable basic knowledge of Multiple Input, Multiple Output (MIMO), Fluid Antenna System (FAS), and Compressive Sensing (CS); - PhD degree obtained within the last
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, or proof-of-concept systems. Signal Processing: Solid knowledge of channel estimation, channel sounding, and multipath modeling (channel impulse response, frequency response, MIMO models, AoA, AoD, delay
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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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, channel sounding, and multipath modeling (channel impulse response, frequency response, MIMO models, AoA, AoD, delay, Doppler, etc). RF Systems: Familiarity with RF front-ends, antennas, calibration