Radio Resource Control for Interference Management in LTE Femtocells
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Solution Overview
Problem
The increasing demand for data rates and poor indoor coverage in cellular systems, particularly at the edge of telecommunication cell systems, pose challenges for mobile network operators due to limited spectrum resources and interference between neighboring femtocells in high-density environments.
Innovation Solution
A method for controlling radio resources involves calculating multiple sets of scaled load estimates and determining objective function results to optimize radio resource allocation, using adaptive graph coloring to allocate orthogonal and reused frequencies, thereby managing interference and enhancing throughput in LTE radio access networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If femtocells are deployed in high-density environments to improve indoor coverage, then indoor coverage is improved, but interference between neighboring femtocells increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting frequency allocation parameters and load estimation parameters for femtocells. The system calculates scaled load estimates and determines operating sets of radio resources based on objective function results, thereby optimizing frequency usage and reducing interference while maintaining improved indoor coverage in high-density environments.
2Productivity
If spectrum resources are increased to meet data rate demands, then data rate capacity is improved, but spectrum availability worsens due to limited resources
Solution Approach 1:
The patent optimizes the utilization of limited spectrum resources by dynamically adjusting radio resource allocation parameters. Through calculating scaled load estimates and determining objective function results, the system maximizes data rate capacity within the constrained spectrum availability by intelligently allocating resources based on current network conditions and interference levels.
Solution Approach 2:
The patent implements dynamic resource allocation where the operating set of radio resources is determined based on real-time load estimates and objective function evaluations. This dynamic approach allows the system to adapt spectrum usage to varying data rate demands while working within the limited spectrum resources available, rather than using static allocation.
3Productivity
If radio resources are allocated to maximize throughput, then productivity is improved, but fairness among terminal connections deteriorates
Solution Approach 1:
The patent addresses the throughput-fairness tradeoff by incorporating fairness considerations into the objective function that determines the operating set of radio resources. The system calculates scaled load estimates and evaluates multiple objective function results that balance both throughput maximization and fairness among terminal connections, adjusting resource allocation parameters to achieve an optimal balance rather than maximizing throughput alone.
Data Source
AI summary
According to an aspect of an embodiment, a method of controlling radio resources includes calculating multiple sets of scaled load estimates based on a single set of initial load estimates associated with estimated radio resource loads of multiple base stations. Each of the sets of scaled load estimates includes the single set of initial load estimates scaled by one of multiple scale factors. The method further includes determining multiple objective function results. Each objective function result is based at least in part on a result of an objective function for an individual set of scaled load estimates of the multiple sets of scaled load estimates. The method further includes determining an operating set of radio resources for multiple base stations based at least in part on the multiple objective function results.