US 12,408,065 B2
Entities and methods for enabling control of a usage of collected data in multiple analytics phases in communication networks
Clarissa Marquezan, Munich (DE); Qing Wei, Munich (DE); Yang Xin, Shanghai (CN); Xiaobo Wu, Shenzhen (CN); and Weiwei Chong, Shenzhen (CN)
Assigned to Huawei Technologies Co., Ltd., Shenzhen (CN)
Filed by HUAWEI TECHNOLOGIES CO., LTD., Shenzhen (CN)
Filed on Jul. 2, 2024, as Appl. No. 18/762,366.
Application 18/762,366 is a continuation of application No. 18/161,649, filed on Jan. 30, 2023, granted, now 12,052,600.
Application 18/161,649 is a continuation of application No. PCT/CN2020/105978, filed on Jul. 30, 2020.
Prior Publication US 2024/0357409 A1, Oct. 24, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 15/173 (2006.01); H04W 24/10 (2009.01)
CPC H04W 24/10 (2013.01) 20 Claims
OG exemplary drawing
 
1. A first entity for a communication network, the first entity comprising a processor and a memory having processor-executable instructions stored thereon, wherein the processor executes the instructions which cause the first entity to:
receive a feature mapping indication from a second entity of the communication network,
wherein 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, which defines 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; and
generate the feature mapping data structure for use with the analytics model at the analytics stage based on at least one of the feature mapping indication received from the second entity and a feature provisioning policy, wherein the feature provisioning policy defines a set of at least one of properties and processes to be applied to the data in the data samples of the set of data samples;
wherein the feature provisioning policy comprises any one or more of the following information fields: an identification of an analytics consumer of a feature, a network slice identification, a network operator identification, a type of feature mapping, at least one of an allowed and restricted feature selection technique, at least one of an allowed and restricted feature type, at least one of an allowed and restricted area of interest, at least one of an allowed and restricted type of analytics models, an aggregation level per type of feature, and an anonymization rule; and
send the feature mapping data structure back to the second entity.