Sectored Random Beams for Compressive Channel Estimation in Massive MIMO
AssigneeHuawei Technologies Co., Ltd.
InventorsRobert Wendell Heath, Jr., Peiying Zhu, Ming Jia
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Abstract
A method for compressive channel estimation in a massive multiple input, multiple output (MIMO) system using sectored random beams is provided. In an embodiment, a method in a massive multiple input, multiple output (MIMO) transceiver for channel estimation includes obtaining a sector. The sector includes less than a complete coverage area of the transceiver. The method also includes transmitting, by the transceiver, a plurality of random beams to a user equipment (UE) in the sector.
Claims20
A method in a massive multiple input, multiple output (MIMO) transceiver for channel estimation, the method comprising:
- obtaining a sector of sectors, the sector comprising less than a complete coverage area of the transceiver;
- and
- transmitting, by the transceiver, a plurality of random beams to a user equipment (UE) in the sector, wherein the plurality of random beams are generated by spatial filtering of a random beam pattern.
(canceled)
A transceiver in a massive multiple input, multiple output (MIMO) system configured for channel estimation comprising:
- a processor configured to obtain a sector of sectors, the sector comprising less than a complete coverage area of the transceiver;
- and
- a transmitter configured to:
- transmit a plurality of random beams to a user equipment (UE) in the sector, wherein the plurality of random beams are generated by spatial filtering of a random beam pattern.
(canceled)
A network component comprising:
- a memory storage comprising instructions;
- and
- one or more processors in communication with the memory storage, wherein the one or more processors execute the instructions to:
- obtain a sector of sectors, the sector comprising less than a complete coverage area of a transceiver;
- and
- transmit a plurality of random beams to a user equipment (UE) in the sector, wherein the plurality of random beams are generated by spatial filtering of a random beam pattern.
-26. (canceled)
Dependencies are inferred from the claim text.