Dynamic Channel Tree Resource Allocation in OFDMA Systems
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Solution Overview
Problem
Existing OFDMA communication systems face challenges in creating a channel tree for efficiently allocating time-frequency resources when there are multiple dynamic regions with varying boundaries, leading to inefficiencies in resource allocation.
Innovation Solution
A method is introduced to dynamically assign time-frequency resources by determining region boundaries, channel identifiers, and base nodes within a channel tree, allowing for logical apportionment of resources across nominal and imaginary base nodes, ensuring efficient allocation even when region boundaries change or do not align with traditional node sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional channel trees are used for resource allocation in single-region systems, then resource allocation is simple and straightforward, but the system cannot efficiently handle multiple dynamic regions with varying boundaries
Solution Approach 1:
The patent divides the time-frequency resource space into multiple regions with different characteristics (e.g., PUSC and FUSC regions in OFDMA systems). Each region can have its own channel tree structure or different resource allocation rules, allowing the system to adapt to diverse regional requirements while maintaining manageable complexity through localized segmentation rather than a single monolithic structure
Solution Approach 2:
The patent introduces dynamic region boundaries that can change over time based on system conditions, mobile station locations, and traffic patterns. The channel tree structure is made adaptive to these dynamic changes, allowing regions to be created, merged, or reconfigured dynamically, thus improving versatility while the structured approach to dynamics prevents exponential complexity growth
2Productivity
If region boundaries are made dynamic to adapt to changing system conditions, then resource allocation efficiency improves, but the overhead for tracking and signaling boundaries increases
Solution Approach 1:
The patent designs the channel tree structure to serve multiple functions simultaneously: it defines resource allocations, indicates region boundaries, and provides hierarchical organization for efficient signaling. This multi-functionality reduces the need for separate dedicated signaling messages for boundary information, as the same structural elements serve multiple purposes, thereby reducing control channel overhead while maintaining dynamic adaptability
Solution Approach 2:
The patent pre-defines channel tree structures and region configurations that can be rapidly activated based on system conditions. Instead of dynamically creating and signaling every boundary change in real-time, the system prepares multiple pre-configured channel tree templates that can be switched between, reducing the signaling overhead for boundary updates while maintaining the ability to respond dynamically to changing conditions
3Adaptability or versatility
If the channel tree uses fixed node sizes, then the structure is simple and easy to manage, but it cannot efficiently accommodate regions with varying areas and requirements
Solution Approach 1:
The patent allows different nodes in the channel tree to have different sizes and properties based on their specific regional requirements. Instead of enforcing uniform node sizes throughout the entire tree, each node can be customized to match the characteristics of the region it represents (e.g., different time-frequency extents for PUSC vs. FUSC regions), improving adaptability while the hierarchical structure maintains manageability through localized customization rather than global complexity
Solution Approach 2:
The patent implements a hierarchical channel tree structure where smaller nodes are nested within larger parent nodes, and regions with varying sizes are represented through nested configurations. This nesting allows the system to accommodate varying region areas by creating appropriately sized nodes at different hierarchical levels, managing complexity through the self-organizing nature of the tree structure where each level naturally adapts to the requirements of the regions it represents
Data Source
AI summary
A method and apparatus of signaling radio resource allocation in a wireless communication system includes the time-frequency resources into multiple regions; defining a channel tree within at least one region, wherein the channel tree has base nodes which are determined using the area of the region and the area of a base node; determining a channel identifier assignment for a mobile station, wherein the channel identifier corresponds to a collection of base nodes from a channel tree; transmitting an indication of the determined channel identifier to the mobile station; and transmitting a packet to a mobile station or receiving a packet from the mobile station using the physical time-frequency resources, which correspond to the channel identifier.