Difference between revisions of "TECHNIQUES FOR REPORTING TIME-SCALE CAPABILITY INFORMATION IN LEARNING ADAPTIVE BEAM WEIGHTS FOR MILLIMETER WAVE SYSTEMS: abstract simplified (17695492)"
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| − | In this abstract, the focus is on the capability of | + | In this abstract, the focus is on the capability of learning adaptive beam weights for millimeter wave systems in communication networks. The abstract describes how a user equipment (UE) can identify and transmit information about the time-scale at which it can learn a set of adaptive beam weights. It also explains how a network entity can receive this information and then identify and transmit the necessary reference signals for the UE to estimate the beam weights. The abstract highlights the importance of time-scale in the learning process and the role of dynamic capability indication in facilitating efficient beam weight estimation. |
Latest revision as of 16:14, 1 October 2023
In this abstract, the focus is on the capability of learning adaptive beam weights for millimeter wave systems in communication networks. The abstract describes how a user equipment (UE) can identify and transmit information about the time-scale at which it can learn a set of adaptive beam weights. It also explains how a network entity can receive this information and then identify and transmit the necessary reference signals for the UE to estimate the beam weights. The abstract highlights the importance of time-scale in the learning process and the role of dynamic capability indication in facilitating efficient beam weight estimation.
