Network Resource Management Architecture for 6G Coverage
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Solution Overview
Problem
The complexity of 6G network structures, incorporating satellites and drone communication, poses challenges in resource cell establishment and communication resource management, as traditional management structures are inadequate for coordinating the more complex and three-dimensional network components.
Innovation Solution
A new network resource management architecture is introduced, comprising a global resource orchestrator, a local resource orchestrator, and a virtualization network management and maintenance unit, which work together to optimize resource cell coverage by analyzing data and adjusting base station resources, ensuring 'signal coverage+capacity coverage' across three-dimensional spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional resource management structures are used, then the system is simple to manage, but it cannot coordinate complex three-dimensional network structures including satellites and drones
Solution Approach 1:
The patent divides the resource management system into multiple hierarchical levels: global resource management units at the core network level and local resource management units at the access network level. This segmentation allows the complex management task to be distributed across different levels, with each level handling specific aspects of resource coordination, thereby achieving the capability to manage complex three-dimensional network structures while keeping each management unit's complexity manageable.
Solution Approach 2:
The patent introduces a new dimensional perspective for resource management by incorporating spatial and aerial dimensions. The management architecture extends from traditional two-dimensional ground-based network management to three-dimensional management that includes satellite and drone resources. This dimensional expansion enables coordinated management of heterogeneous network components across different spatial layers.
2Area of stationary object
If more network components are added to achieve higher coverage goals, then the network coverage capability is improved, but the coordination difficulty increases
Solution Approach 1:
The patent segments the network into multiple hierarchical levels with distinct management responsibilities. Global resource management units handle high-level coordination across large areas, while local resource management units handle detailed coordination of specific network components. This segmentation reduces the coordination burden on any single unit, enabling the system to manage an increasing number of network components as coverage requirements expand.
Solution Approach 2:
The patent introduces virtualization network management and maintenance units as intermediary components between the physical network infrastructure and the resource management system. These units provide standardized interfaces and abstraction layers that simplify the coordination of diverse network components including base stations, satellites, and drones, thereby reducing overall system complexity while enabling expanded coverage.
3Productivity
If traditional management structures are used, then the system is easy to operate, but it cannot achieve higher performance indicators in complex scenarios
Solution Approach 1:
The patent implements self-service mechanisms where the resource management system automatically discovers, characterizes, and allocates resources based on predefined policies and real-time conditions. The global and local resource management units autonomously coordinate resources without requiring manual intervention, thereby achieving high resource allocation efficiency while maintaining operational simplicity through automation.
Solution Approach 2:
The patent incorporates feedback mechanisms where the resource management system continuously monitors network conditions, resource utilization, and service quality. This feedback information is used to dynamically adjust resource allocation decisions, enabling the system to achieve high productivity in complex scenarios by adapting to changing conditions while maintaining ease of operation through automated closed-loop control.
Data Source
AI summary
A new generation of network resource management architecture for coverage is provided, which constructs a structure of “signal coverage+capacity coverage” by incorporating satellite, space-based, and ground access points to achieve large-scale regional signal coverage and local area capacity coverage. In the core network, a global resource orchestrator is added, and in the access network, local resource orchestrator and virtual network management and maintenance unit are added for multiple functional units of resource management and control. In terms of coverage structure, it is divided into three-dimensional dense capacity coverage and three-dimensional global signal coverage. The former consists of ground dense network and aerial ad-hoc network, respectively realizing high traffic density coverage and large connection three-dimensional coverage. The latter consists of ground network and satellite constellation, respectively realizing extended coverage towards low altitude and three-dimensional coverage towards space, sky, ground, and ocean.