Dynamic Network Slice Reconfiguration for Bandwidth Allocation
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Solution Overview
Problem
Existing network slicing technologies face inefficiencies in managing bandwidth and resource allocation, particularly during emergency events or when there are disparities in network user volumes, leading to wasted resources and potential service disruptions due to static resource allocation.
Innovation Solution
Implementing dynamic network control circuitry and interface circuitry that monitor end-to-end flows and adjust resource allocation in real-time by reshaping network slices, borrowing resources from less utilized slices to prioritize critical traffic and utilizing autonomous mobile robot resources for infrastructure scaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static resource allocation is used in network slicing, then network infrastructure design is simplified, but resource wastage increases and service reliability deteriorates during peak demands and emergency events
Solution Approach 1:
The patent implements dynamic resource allocation in network slicing by enabling network control circuitry to continuously monitor network conditions and automatically adjust resource distribution among slices in real-time. This allows the system to adapt to varying traffic demands and emergency events, preventing resource wastage while maintaining service reliability without requiring complete redesign of the network infrastructure.
Solution Approach 2:
The system changes resource allocation parameters dynamically by adjusting the amount of network resources assigned to different slices based on current network conditions, traffic patterns, and service requirements. This parameter adjustment mechanism enables efficient resource utilization during both normal operations and emergency events while maintaining infrastructure simplicity.
2Device complexity
If static resource allocation is used in network slicing, then implementation is simpler, but service reliability deteriorates during emergency events and peak demands
Solution Approach 1:
The patent implements a feedback mechanism where network control circuitry continuously monitors network conditions, traffic demands, and slice performance metrics. Based on this feedback, the system automatically adjusts resource allocation to maintain service reliability during emergency events and peak demands, while keeping the implementation complexity manageable through automated decision-making algorithms.
Solution Approach 2:
The network slicing system performs self-adjustment of resource allocation without requiring manual intervention. The network control circuitry autonomously monitors conditions and reallocates resources among slices based on predefined policies and current network state, ensuring service reliability during critical events while simplifying operational complexity.
3Device complexity
If resources are not dynamically reallocated among network slices, then system complexity is reduced, but network efficiency decreases during peak demands
Solution Approach 1:
The system introduces dynamic resource reallocation capability that allows network resources to be flexibly distributed among slices based on real-time demand. This dynamic adjustment improves network efficiency during peak demands by allocating additional resources to high-priority slices while maintaining manageable system complexity through automated control mechanisms.
4Device complexity
If bandwidth is not dynamically adjusted in network slices, then resource allocation is simpler, but quality of service deteriorates during peak demands and emergency events
Solution Approach 1:
The patent implements dynamic bandwidth adjustment by changing the bandwidth allocation parameter among network slices based on current network conditions and service requirements. This allows the system to maintain quality of service during peak demands and emergency events while keeping bandwidth management complexity manageable through automated parameter adjustment.
Data Source
AI summary
Systems, apparatus, articles of manufacture, and methods are disclosed to manage network slices. An example apparatus includes interface circuitry to acquire network information, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to reserve first network slices to satisfy service level objectives (SLOs) corresponding to first nodes, reserve second network slices to satisfy SLOs corresponding to second nodes, and reconfigure the first network slices to accept network communications from the second nodes when the network communications from the second nodes exceed a performance metric threshold.