System and method to reduce PDCCH blind decoding attempts using artificial intelligence and machine learning
AssigneeSamsung Electronics Co., Ltd.
InventorsSatya Kumar Vankayala, Venkateswarlu Yarramala, Seungil Yoon
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Abstract
Provided is a method of operating a user equipment (UE) in a wireless network for managing physical downlink control channel (PDCCH) data. The method includes: obtaining a plurality of network parameters, predicting at least one aggregation level (AL) used by a base station (BS) associated with the UE to transmit the PDCCH data in the wireless network based on the plurality of received network parameters, and decoding the PDCCH data based on the at least one predicted AL.
Claims15
A method of operating a user equipment (UE) in a wireless network for managing physical downlink control channel (PDCCH) data, the method comprising:
- obtaining a plurality of network parameters;
- before searching for a PDCCH candidate, predicting at least one aggregation level (AL) used by a base station (BS) associated with the UE to transmit the PDCCH data in the wireless network based on the plurality of obtained network parameters;
- and
- decoding the PDCCH data based on the at least one predicted AL.
A method of operating a base station (BS) in a wireless communication network for managing physical downlink control channel (PDCCH) data, the method comprising:
- obtaining a plurality of network parameters;
- predicting an aggregation level (AL) to be used for transmission of the PDCCH data to a user equipment (UE) in the wireless network based on the plurality of network parameters by at least:
- providing the plurality of network parameters as an input to a trained machine learning (ML) model, and
- obtaining the at least one predicted AL as output from the ML model;
- encoding the PDCCH data based on the at least one predicted AL;
- and
- transmitting the encoded PDCCH data to the UE.
A user equipment (UE) configured to manage physical downlink control channel (PDCCH) data in a wireless network, the UE comprising:
- a memory;
- a processor comprising processor circuitry;
- and
- a PDCCH decoding controller comprising processing circuitry, communicatively connected to the memory and the processor, configured to:
- obtain a plurality of network parameters,
- before searching for a PDCCH candidate, predict an aggregation level (AL) used by a base station (BS) associated with the UE to transmit the PDCCH data in the wireless network based on the plurality of obtained network parameters, and
- decode the PDCCH data based on the at least one predicted AL.
A base station (BS) configured to manage physical downlink control channel (PDCCH) data in a wireless network, the BS comprising:
- a memory;
- a processor comprising processor circuitry;
- and
- a PDCCH encoding controller comprising processing circuitry, communicatively connected to the memory and the processor, configured to:
- obtain a plurality of network parameters,
- predict an aggregation level (AL) to be used for transmission of the PDCCH data to a user equipment (UE) in the wireless network, based on the plurality of network parameters, by at least:
- providing the plurality of network parameters as an input to a trained machine learning (ML) model, and
- obtaining the at least one predicted AL as output from the ML model,
- encode the PDDCH data based on the at least one predicted AL, and
- transmit the encoded PDCCH data to the UE.
Dependencies are inferred from the claim text.