Abstract:
The present invention discloses a network handover method, where after UE in an LTE network requests circuit switched fallback CSFB, an MME instructs an eNB to move the UE from the LTE network to a 2G or 3G network, and requests an MSC to hand over the UE from the LTE network to a CS domain of the 2G or 3G network for the CSFB, so that the 2G or 3G network allocates a CS domain resource to the UE. After handing over to the CS domain, the UE may perform a CS domain call. By using embodiments of the present invention, an access delay is reduced when the UE accesses the CS domain of the 2G or 3G network, duration of an entire voice call is shortened, and user experience is improved.
Abstract:
A method and device for selecting an LTE network, relating to the technical field of communications, are disclosed in the present application are, which makes that a UE can returns to an LTE PLMN registered when CSFB is initiated after the CSFB service, thereby ensuring the continuity of PS service, avoiding an unnecessary inter-PLMN network switch and promoting the user experience. The method provided in the present application mainly comprises: performing, by a UE, a combined registration in the LTE PLMN; initiates, by the UE, a CSFB service to fall back to a 2G/3G network, and receiving an equivalent PLMN list in the 2G/3G network; adding, by the UE, identity information of the LTE PLMN to the equivalent PLMN list; performing, by the UE, a PLMN selection according to the equivalent PLMN list when the CSFB service ends.
Abstract:
Embodiments of the present invention provide a method and an apparatus for determining a source SGSN. The method for determining a source SGSN includes: obtaining addressing information of a source SGSN through a NAS message sent by a UE; and sending the addressing information of the source SGSN to a target MME or a target SGSN, so that the target MME or the target SGSN determines the source SGSN according to the addressing information of the source SGSN. The embodiments of the present invention may ensure that an MSC obtains latest addressing information of a source SGSN of a UE, so that a target MME or a target SGSN obtains prepare bearer information of the UE from a correct source SGSN.
Abstract:
A communication method includes sending, by a first data analytics network element, a first request to a service discovery network element. The first request requests information about a second data analytics network element. The first request includes one or more of information about distributed learning or first indication information. The information about distributed learning includes a type of distributed learning. The first indication information indicates a type of the second data analytics network element. The method also includes receiving, by the first data analytics network element, information about the second data analytics network element from the service discovery network element. The second data analytics network element supports the type of distributed learning.
Abstract:
The disclosure relates to a network entity for determining at least one model parameter of a model for digitally analyzing input data depending on the at least one model parameter of a model, the network entity being configured to receive a model request from a requesting entity over the communication network, the model request requesting the at least one model parameter of the model, to obtain the requested at least one model parameter by at least one of the following: executing a machine-learning model training algorithm, the machine-learning model training algorithm being configured to train the model with input data in order to determine at least one of the requested model parameter; searching a local data base for an existing model; or requesting the at least one model parameter from a further network entity; and to send the requested model parameter towards the requesting entity over the communication network.
Abstract:
A first entity for a communication network is provided. The first entity is configured to receive a feature mapping indication from a second entity of the communication network. The feature mapping indication comprises characteristics of a relationship between a set of data samples and properties of data in the data samples of the set of data samples for an analytics model at an analytics stage, wherein the feature mapping indication comprises a request for a feature mapping data structure. The feature mapping data structure includes a second set of data samples based on the relationship between the set of data samples and the properties of the data in the data samples of the set of data samples for use with the analytics model at the analytics stage for an analytics consumer.
Abstract:
A communication method, a communication apparatus, and system are disclosed. The method includes a data analytics network element (NWDAF) sends a first request to a storage function network element. The first request includes delay information and/or indication information. The indication information indicates that the NWDAF supports analyzing data within a specified delay. The first request is used to store the delay information and/or the indication information into the storage function network element. The data analytics network element receives a first response from the storage function network element. The first response indicates, to the data analytics network element, that the delay information and/or the indication information are/is successfully stored.
Abstract:
A network entity determines at least one model parameter of a model for digitally analyzing input data depending on the at least one model parameter of a model, the network entity being configured to receive a model request from a requesting entity over the communication network, the model request requesting the at least one model parameter of the model, to obtain the requested at least one model parameter by at least one of the following: executing a machine-learning model training algorithm, the machine-learning model training algorithm being configured to train the model with input data in order to determine at least one of the requested model parameter; searching a local data base for an existing model; or requesting the at least one model parameter from a further network entity; and to send the requested model parameter towards the requesting entity over the communication network.
Abstract:
The present disclosure relates to methods and apparatus for determining device information. In one example method, an inference device sends a first request to a service discovery entity. The first request is used to request information about one or more training devices, and the first request includes an algorithm type or an algorithm identifier of a first model requested by the inference device. The inference device receives the information about the one or more training devices from the service discovery entity. The information about the one or more training devices includes capability information. The inference device determines a first training device from the information about the one or more training devices based on a preset condition.
Abstract:
A communication method, a communication apparatus, and system are disclosed. The method includes a data analytics network element (NWDAF) sends a first request to a storage function network element. The first request includes delay information and/or indication information. The indication information indicates that the NWDAF supports analyzing data within a specified delay. The first request is used to store the delay information and/or the indication information into the storage function network element. The data analytics network element receives a first response from the storage function network element. The first response indicates, to the data analytics network element, that the delay information and/or the indication information are/is successfully stored.