Machine-learning architectures for broadcast and multicast communications
AssigneeGoogle Inc.
InventorsJibing Wang, Erik Richard Stauffer
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Abstract
Techniques and apparatuses are described for machine-learning architectures for broadcast and multicast communications. In implementations, a network entity determines a configuration of a deep neural network (DNN) for processing broadcast or multicast communications transmitted over a wireless communication system, where the communications are directed to a targeted group of user equipments (UEs). The network entity forms a network-entity DNN based on the determined configuration of the DNN and processes the broadcast or multicast communications using the network-entity DNN. In implementations, the network entity forms a common DNN to process and/or propagate the broadcast or multicast communications to the targeted group of UEs.
Claims20
A method performed by a network entity associated with a wireless communication system, the method comprising:
- receiving user equipment (UE) capabilities of a first UE and a second UE in a targeted group of UEs;
- determining the second UE has less processing power relative to the first UE based on the UE capabilities;
- determining a first configuration and a second configuration of a deep neural network (DNN) for processing broadcast or multicast communications transmitted over the wireless communication system to the first UE and the second UE respectively, the second configuration being a gradient version of the first configuration of the DNN based on the determining the second UE has less processing power relative to the first UE;
- communicating the first configuration and the second configuration to the first UE and the second UE respectively;
- forming, at the network entity, a network-entity DNN based on the determined first configuration and second configuration of the DNN;
- and
- processing the broadcast or multicast communications using the network-entity DNN to direct the broadcast or multicast communications to the targeted group of UEs using the wireless communication system.
A network entity apparatus comprising:
- a wireless transceiver;
- a processor;
- and
- computer-readable storage media comprising instructions that, when executed by the processor, cause the processor to:
- receive user equipment (UE) capabilities of a first UE and a second UE in a targeted group of UEs;
- determining the second UE has less processing power relative to the first UE based on the UE capabilities;
- determine a first configuration and a second configuration of a deep neural network (DNN) for processing broadcast or multicast communications transmitted over a wireless communication system and to the first UE and the second UE respectively, the second configuration being a gradient version of the first configuration based on the determining the second UE has less processing power relative to the first UE;
- communicate the first configuration and the second configuration to the first UE and the second UE respectively;
- form, at the network entity apparatus, a network-entity DNN based on the determined first configuration and second configuration of the DNN;
- and
- process the broadcast or multicast communications using the network-entity DNN to direct the broadcast or multicast communications to the targeted group of UEs using the wireless communication system.
A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to:
- receive user equipment (UE) capabilities of a first UE and a second UE in a targeted group of UEs;
- determining the second UE has less processing power relative to the first UE based on the UE capabilities;
- determine a first configuration and a second configuration of a deep neural network (DNN) for processing broadcast or multicast communications transmitted over the wireless communication system to the first UE and the second UE respectively, the second configuration being a gradient version of the first configuration of the DNN based on the determining the second UE has less processing power relative to the first UE;
- communicate the first configuration and the second configuration to the first UE and the second UE respectively;
- form, at the network entity, a network-entity DNN based on the determined first configuration and second configuration of the DNN;
- and
- process the broadcast or multicast communications using the network-entity DNN to direct the broadcast or multicast communications to the targeted group of UEs using the wireless communication system.
Dependencies are inferred from the claim text.