Description
Objective:This objective of this activity is to develop and test an extended protocol to address the support of predictive Qualityof Service (QoS) in Non-Terrestrial Networks (NTNs). The activity will also undertake the necessary investigation and selection of data-driven algorithms to automate predictive QoS in NTN.Targeted Improvements:Features enhancement to align NTN solutions in an integrated NTN/TN ecosystem in support to automotive services. This is a critical technology element to enable support of important automotive use cases.Description:The 5G Automotive Association (5GAA) has developed the concept of predictive Quality of Service (QoS), now part of 3GPP standards for Terrestrial Networks (TN). This method allows to adjust application behaviour before the predicted QoS change takes effect, which is important in certain automotive use cases, such as remote and autonomous driving. QoS is measured in an objective way in 5G 3GPP for Terrestrial Networks (TN), this is done via a set of 5G QoS attributes [3GPP TS 23.501 cl. 5.7], e.g., packed delay budget and error rate. However, an equivalent or similar method is not available for NTN. The proposed activity will therefore investigate, trade-off, select and validate the following aspects: 1) model for services adaptation over NTN (e.g., LEO and/or multilayer NTN), time requirements, exchanging info in cars and network components (e.g., edge computer in car); 2) develop the architecture and the interfaces for integrated NTN/TN; 3) consider different deployment options of QoS provision in single/multiple operator domain and multiple MEC deployments typical in automotive i.e. roadside/car/onboard satellite; 4) develop prototype solutions and validate through testbed; 5) perform over-the-air demonstrations