Antenna for massive multiple input and multiple output (mMIMO)
AssigneeCisco Technology, Inc.
InventorsSatish Kumar Mandavilly, Amitesh Shukla, Manish Jhanji, Rakesh Mishra, Subhash Kodnad
Life of this patent
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Abstract
An antenna may be provided. First, a Machine Learning (ML) model may be used, at a predetermined time, to predict a probable location of at least one of a plurality of client devices. Next, spatial coordinates may be obtained for the probable location from the ML model. Then an antenna sub-array of an antenna array may be steered toward the spatial coordinates of the probable location. The antenna sub-array may be unallocated.
Claims20
A method comprising:
- using, by a computing device at a predetermined time, a Machine Learning (ML) model to predict a probable location of one of a plurality of client devices in a cell comprising a beam area of an antenna array operative to send and receive signals from the plurality of client devices;
- obtaining spatial coordinates with respect to the antenna array for the probable location of the one of the plurality of client devices from the ML model;
- and
- steering an antenna sub-array of the antenna array toward the spatial coordinates of the probable location of the one of the plurality of client devices, the antenna sub-array being unallocated.
A system comprising:
- a memory storage;
- and
- a processing unit coupled to the memory storage, wherein the processing unit is operative to:
- use a Machine Learning (ML) model to predict a probable location of one of a plurality of client devices in a cell comprising a beam area of an antenna array operative to send and receive signals from the plurality of client devices;
- obtain spatial coordinates with respect to the antenna array for the probable location of the one of the plurality of client devices from the ML model;
- and
- steer an antenna sub-array of the antenna array toward the spatial coordinates of the probable location of the one of the plurality of client devices, the antenna sub-array being unallocated.
A non-transitory computer-readable medium that stores a set of instructions which when executed perform a method comprising:
- using, by a computing device at a predetermined time, a Machine Learning (ML) model to predict a probable location of one of a plurality of client devices in a cell comprising a beam area of an antenna array operative to send and receive signals from the plurality of client devices;
- obtaining spatial coordinates with respect to the antenna array for the probable location of the one of the plurality of client devices from the ML model;
- and
- steering an antenna sub-array of the antenna array toward the spatial coordinates of the probable location of the of the plurality of client devices, the antenna sub-array being unallocated.
Dependencies are inferred from the claim text.