Abstract: A Network Data Analytic Function (NWDAF)may assist an application server by determining a quality of server (QoS) or delivery timing requirements can be met at a location, e.g., along a route. The NWDAF may collect information from one or more cells near the location, e.g., an Operations and Management (OAM) system. Communications with the NWDAF may be facilitated by a Network Exposure Function (NEF) or an Nnwdaf_AnalyticsInfo_Request service operation. The NWDAF may indicate a potential QoS change at the location. The application server may be a V2X application server.

Abstract: Methods and apparatuses are described herein for an automated product management (APM) service. An apparatus may receive from a second apparatus, at least one first request to enroll a third apparatus with a service layer associated with the second apparatus. The apparatus may send a second request to verify authenticity of the third apparatus and to generate a customized firmware or software for the third apparatus. The apparatus may send a third request to configure the third apparatus based on consent of a user of the third apparatus. The apparatus may send a response indicating whether the third apparatus has been enrolled with the service layer. The apparatus may receive a fourth request to diagnose or troubleshoot the third apparatus and a fifth request comprising information and the consent and requesting the fourth apparatus to perform at least one operation on the third apparatus.

Abstract: Methods and apparatuses are described herein for a framework for data brokerage services in a service layer. A first apparatus may receive, from a second apparatus, a first signal comprising first information indicating a publishing intent associated with atopic indicator. The first apparatus may receive, from a third apparatus, a second signal comprising second information indicating a subscription intent associated with the topic indicator. The first apparatus may generate, based on the publishing intent and the subscription request, a topic instance. The first apparatus may send a third signal comprising an announcement message indicating the generated topic instance. The first apparatus may receive, from the third apparatus, a fourth signal comprising a subscription request for the generated topic instance. The first apparatus may send, to the third apparatus, at least one fifth signal comprising notifications and publish instances associated with the generated topic instance.

Abstract: An IoT/M2M service layer may be provided with the capability to protect user privacy. This functionality may allow the IoT/M2M service layer to anonymize user data, particularly when user data is shared with third party consumers. A privacy policy service may enable the IoT service layer system to generate anonymization (e.g., privacy) policies based on inputs such as legal obligations, subscriber privacy preferences, and an authorization level of the data consumer. Data anonymization policies may be output from the privacy policy service and may be sent to a data anonymization service, where raw data may be anonymized based on the one or more data anonymization policies. The output from the data anonymization service function may be a privatized (e.g., anonymized) version of data that may prevent the data consumer from discovering one or more identifying characteristics of a user.

Abstract: Systems and methods are described herein to automate managing of service layer operations comprised of multiple elementary operations and offloading the burden of performing such multi-step operations from a requesting entity to the service layer. A Request Abstraction Service (RAS) is described herein for the autonomous execution of such multi-step operations. Methods and apparatuses are also described herein for a service layer framework for integrating generic and functional user interfaces as services managed by the SL on behalf of requesting entities.

Abstract: Methods, systems, and apparatuses that enable a Service Layer (SL) to support analysis of internet of things (IoT) data and enable shared access to information generated by the analysis. An analytics management service may allow SL entities to configure analytics functions for many different IoT sources of data and organize the results in a customizable manner. The SL may support coordinating the analysis of IoT data from multiple independent sources and organizing the results of the analysis.