Use Cases for Network Applications to Enable Connected Intelligence
Overview & Synopsis
Robots are expected to be more intelligent in consuming digital infrastructures during the process of continual learning. The future of connected Robotics should be skillful in maximizing Quality of Experience (QoE) for its vertical users rather than solely reacting to Quality of Service (QoS). The paper provides a detailed use case specification and a network softwarization paradigm for realizing the 6G vision of connected intelligence. It serves as a guidance for developing future network applications to ground the idea of the connected intelligence.
Indexed from repository: HAL Open Science
(
hal.science)
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Document Information
| Document Title | Use Cases for Network Applications to Enable Connected Intelligence |
|---|---|
| Author / Organization | Renxi Qiu, Dayou Li, Enjie Liu, Christina C. Lessi, George Agapiou, Andreas Gavrielides |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2023 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-236832 |
| Original Source Link | Visit Source Page on hal.science » |