Network Slice Resource Allocation via Dynamic Protocol Selection
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Solution Overview
Problem
Current mobile communication networks face challenges in efficiently managing and optimizing communication protocols across diverse wireless devices and base stations, particularly in handling multiple technologies and releases, which affects traffic management and resource allocation.
Innovation Solution
The implementation of a flexible and configurable architecture for mobile communication networks that selectively applies New Radio (NR) protocols based on criteria such as wireless device configurations, traffic load, and packet sizes, allowing for dynamic bandwidth adaptation and carrier aggregation to optimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a rigid and fixed communication protocol architecture is used, then protocol management is simplified, but the network cannot adapt to diverse wireless devices and base stations with multiple technologies and releases
Solution Approach 1:
The patent implements a dynamic protocol architecture where the gNodeB can selectively apply NR protocols based on real-time criteria including wireless device configurations, traffic load, and packet sizes. The system transitions from a fixed protocol approach to a dynamic one that adapts protocol selection and bandwidth allocation based on current network conditions and device capabilities, enabling flexible handling of multiple technologies and releases.
Solution Approach 2:
The system changes operational parameters dynamically by adjusting bandwidth allocation, protocol selection, and resource distribution based on traffic load and device characteristics. The gNodeB modifies these parameters in real-time to optimize data transmission across diverse devices, transforming the network from a static configuration to a parameter-driven adaptive system.
2Productivity
If dynamic bandwidth adaptation and carrier aggregation are implemented, then data transmission is optimized, but network management complexity increases
Solution Approach 1:
The system implements self-service mechanisms where the gNodeB autonomously determines protocol application based on predefined criteria such as traffic load and packet sizes. The network manages itself by automatically selecting appropriate bandwidth allocations and carrier aggregation configurations without requiring complex external control, reducing management overhead while maintaining optimization.
Solution Approach 2:
The patent employs feedback mechanisms where the gNodeB monitors network conditions, traffic patterns, and device responses to continuously adjust protocol application and bandwidth allocation. This closed-loop feedback system enables the network to learn from actual performance data and refine its resource management strategies, improving efficiency while keeping management complexity manageable through automated decision-making.
Data Source
AI summary
A first base station comprises one or more processors and memory storing instructions. When executed by the one or more processors, the instructions cause the first base station to send, to a second base station, a request of a configuration of a packet flow associated with a network slice for a wireless device; and receive, from the second base station, information indicating that resources associated with the network slice are available at the second base station. The resources comprise dedicated resources dedicated to the network slice and/or prioritized resources prioritized for the network slice.