Improving spectral efficiency in distributed massive MIMO in multi-user downlink millimeter wave. [PDF]
Rajaganapathi R +3 more
europepmc +1 more source
Joint Design of Hybrid Beamforming and Phase Shifts for IRS-Assisted Multi-User mmWave Systems. [PDF]
Zhang R, Wang Y.
europepmc +1 more source
Privacy-Preserving Ambient Sensing for Activities of Daily Living: Multimodal Radar-Thermal Human Activity Recognition and Smart Plug Appliance Recognition. [PDF]
Mohammed B +5 more
europepmc +1 more source
Scalable lens-enhanced broadbeam mmWave harvester delivering tens of milliwatts for wireless power transfer in next-generation smart city environments. [PDF]
Joshi M +3 more
europepmc +1 more source
A Wideband Water-Based 3D-Printed Reflect-Transmit Antenna Array Toward mmWave Positioning Applications. [PDF]
Ahmed F +6 more
europepmc +1 more source
Machine learning-enhanced 3GPP channel modeling for 5G networks: A vendor-calibrated framework with cross-scenario validation. [PDF]
Sagor MIK, Rahman MZ, Mandal P.
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MMU-STCNN-BDQ: a deep reinforcement learning framework for secure and energy-efficient beamforming in 6G mMIMO networks. [PDF]
Ramudu K +5 more
europepmc +1 more source
Hybrid Spectrum Sharing in mmWave Cellular Networks [PDF]
While spectrum at millimeter wave (mmWave) frequencies is less scarce than at traditional frequencies below 6 GHz, still it is not unlimited, in particular if we consider the requirements from other services using the same band and the need to license ...
Marco Mezzavilla +2 more
exaly +2 more sources
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