Dynamic Resource Management for OFDMA Wireless Networks

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Solution Overview

Problem

In OFDMA-based wireless networks, existing resource management techniques fail to effectively mitigate interference between personal base stations sharing the same frequency bands, leading to suboptimal subchannel assignment and power allocation, which affects data carrying capacity and network performance.

Innovation Solution

A dynamic resource management system that includes a subchannel assignment component and a power allocation component, which dynamically assign and allocate subchannels and power levels based on interference conditions and user diversity, optimizing resource allocation by considering both the victim and aggressor roles of base stations and users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If personal base stations are deployed ad hoc to improve coverage, then coverage gaps are filled and deficient coverage areas are augmented, but interference between base stations sharing the same frequency bands increases

Engineering Contradiction:
Improvecoverage areaVSAvoidinterference
Core Design Contradiction:
Area of stationary objectVSObject-affected harmful factors

Solution Approach 1:

The patent applies local quality by assigning different subchannels to different spatial locations and users. The resource management system dynamically allocates specific subchannels to specific users based on their location and interference conditions, making the resource allocation non-uniform and adapted to local conditions. This resolves the contradiction by allowing coverage expansion while managing interference through localized resource differentiation.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent employs parameter changes by dynamically adjusting subchannel assignment and power allocation based on interference conditions. The system monitors and responds to changing interference parameters, modifying resource allocation in real-time to maintain performance as base stations are deployed ad hoc. This allows the network to adapt to new interference patterns while preserving coverage benefits.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If dynamic resource management is implemented to reduce interference, then spectral efficiency and network performance improve, but system complexity increases

Engineering Contradiction:
Improvespectral efficiencyVSAvoidresource management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the available spectrum into multiple subchannels and allocating them dynamically to different users and base stations. This segmentation transforms a single complex resource management problem into multiple simpler, independent subchannel allocation decisions. The interference management is achieved by treating each subchannel as a separate resource that can be independently optimized, reducing overall system complexity while improving spectral efficiency.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS8929312B2Dynamic resource management for orthogonal frequency division multiple access wireless networks
Publication Date: 2015.01.06 KMIZRA LLC
  • US8929312B2 patent drawing
  • US8929312B2 patent drawing
  • US8929312B2 patent drawing

AI summary

The disclosed subject matter relates to dynamic resource management for wireless network components with a wireless communications environment. Personal base stations can be deployed in a substantially uncoordinated manner resulting in conflicts among wireless radio resources. Dynamically assigning subchannel and dynamically allocating power for subchannels can reduce these conflicts. Dynamic resource management can employ combinatorial auction schema such that assignment of subchannels can be considerate of selecting a power level for performance and to minimize overlapping subchannel interference. In an aspect, several methods can be employed to reduce the computational complexity of the general integer programming problem presented. These several methods can include a Combinatorial Auction with Greedy Algorithm scheme, a Random Equal Subchannel Partition scheme, a Local Combinatorial Auction scheme, and a Neighbors' Poor Channels scheme.