NETWORK AWARE OPTIMAL ROUTE SELECTION FOR AUTONOMOUS APPLICATIONS

Organization Name

Inventor(s)

Roopesh Kumar Polaganga of Bothell WA (US)

NETWORK AWARE OPTIMAL ROUTE SELECTION FOR AUTONOMOUS APPLICATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18295644 titled 'NETWORK AWARE OPTIMAL ROUTE SELECTION FOR AUTONOMOUS APPLICATIONS

Simplified Explanation: The patent application describes a method for network-aware optimal route selection for autonomous User Equipment (UE) in a network. This involves identifying initial routes, geospatial hex bins, base stations, and quality of service values to determine the best route for the autonomous UE.

The method starts by identifying an initial route based on a mapping mechanism.
Geospatial hex bins and base stations along the initial route are then identified.
Quality of service values are used to prioritize services and identify optimal geospatial hex bins and nodes.
Hex bins with QoS values above a certain threshold are excluded from the route.
A revised route is then transmitted to the autonomous UE.

Key Features and Innovation:

Utilizes geospatial data and quality of service values for optimal route selection.
Prioritizes services based on operator-defined thresholds.
Excludes suboptimal routes to improve efficiency and performance.

Potential Applications:

Autonomous delivery services.
Emergency response systems.
Fleet management for transportation companies.

Problems Solved:

Efficient route selection for autonomous UE.
Prioritization of services based on quality of service values.
Optimization of network resources.

Benefits:

Improved efficiency and performance.
Enhanced user experience.
Cost savings for network operators.

Commercial Applications: Optimal route selection technology can be applied in various industries such as logistics, transportation, and emergency services to improve operational efficiency and customer satisfaction.

Prior Art: Readers can explore prior research on network-aware route selection algorithms and quality of service optimization in autonomous systems to understand the background of this technology.

Frequently Updated Research: Stay updated on advancements in geospatial data analysis, quality of service optimization, and autonomous systems to enhance the effectiveness of network-aware route selection technologies.

Questions about Network-Aware Route Selection: 1. How does quality of service impact the selection of optimal routes for autonomous User Equipment? 2. What are the potential challenges in implementing network-aware route selection technology in real-world applications?

Original Abstract Submitted

Aspects provided herein provide methods, systems, and a non-transitory computer storage medium storing computer instructions for network aware optimal route selection for autonomous user equipment (UE) in a network. The method begins with identifying an initial route based on a mapping mechanism. An example is entering a start and ending point for a delivery using an autonomous UE. After an initial route is identified operator defined geospatial hex bins and base stations along the initial route are identified. Further identifying operations include identifying at least one flow quality of service (QoS) value that comprises a priority of at least one service and identifying at least one geospatial hex bin and associated node with a QoS value greater than an operator defined threshold. Those geospatial hex bins are then marked and excluded from the route of the autonomous UE and a revised route is transmitted to the autonomous UE.