Virtual Resource Block Allocation Across Networks
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Solution Overview
Problem
Existing technologies are limited by their reliance on fixed partitioning of physical resource blocks between multiple networks, leading to inefficient allocation and utilization of resources.
Innovation Solution
A virtualization layer is created to dynamically allocate and reallocate virtual physical resource blocks between networks based on real-time loading thresholds, allowing for flexible and adaptive resource distribution without hard partitioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed partitioning of physical resource blocks is used between multiple networks, then allocation simplicity is maintained, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent segments physical resource blocks into multiple virtual resource block pools, each associated with different networks. The virtualization layer divides the physical resources into virtual units that can be dynamically allocated, transforming the fixed partitioning problem into manageable virtual segments that can be flexibly reassigned based on network needs.
Solution Approach 2:
The patent implements dynamic allocation by allowing the radio intelligence controller to monitor network loading in near real-time and automatically reallocate virtual resource blocks from underutilized networks to overutilized networks. This transforms the static fixed partitioning into a dynamic system that adapts to changing network conditions, improving resource utilization efficiency.
2Adaptability or versatility
If hard partitioning in the physical layer is used, then resource allocation is simple and stable, but adaptability to changing network conditions deteriorates
Solution Approach 1:
The patent introduces a virtualization layer as an intermediary between the physical layer and network layers. This virtualization layer creates virtual resource blocks that emulate physical hardware, allowing flexible software-based allocation without modifying the stable physical layer infrastructure. The radio intelligence controller acts as another intermediary to monitor and manage resource distribution, enabling adaptability while maintaining physical layer stability.
Solution Approach 2:
The patent adds a virtualization dimension above the physical layer, creating a new abstraction level. Instead of modifying physical resource allocation directly, the system operates in this additional virtual dimension where resources can be dynamically assigned. This dimensional addition allows adaptability to network conditions without compromising physical layer simplicity and stability.
3Productivity
If dynamic reallocation of physical resource blocks is implemented, then resource utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the radio intelligence controller automatically monitors network loading conditions and performs reallocation decisions without external intervention. The system uses feedback from network performance monitoring to autonomously adjust resource distribution, reducing the need for complex external control mechanisms while maintaining optimization capabilities.
Solution Approach 2:
The patent incorporates feedback loops where the radio intelligence controller continuously monitors network loading and uses this information to make informed reallocation decisions. The system observes network performance metrics and adjusts virtual resource block distribution accordingly, enabling automatic optimization through feedback-driven control rather than complex predetermined rules.
Data Source
AI summary
Aspects herein provides a system that utilizes a virtualization layer at a distribution unit or central unit in a network. The virtualization layer includes a plurality of virtual resource blocks that are pooled together as a resource for both a public portion of the network and one or more private portions of the network. Based on loading monitoring of the different portions of the network, the plurality of virtual resource blocks in the pool can be dynamically reallocated between the public and private networks to accommodate and optimize loading. The plurality of virtual resource blocks are mapped to physical resource blocks for scheduling and utilization based on the reallocation.