Radio Resource Management Noise Metric Optimization
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Solution Overview
Problem
Current wireless communication networks face challenges in optimizing signal quality for mobile device users at cell edge regions without causing interference to neighboring cells, particularly in densely deployed macro and pico base stations, where traditional interference coordination methods like SINR optimization fail to consider spatial and frequency orthogonality.
Innovation Solution
A radio resource management system that employs different noise metrics, such as SINR and SLNR, to determine scheduling blocks for user devices based on their location within specific coverage regions, optimizing signal strength while minimizing interference to neighboring cells by using SINR in fractional frequency reuse regions and SLNR in common reuse regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If SINR optimization is used to maximize signal quality for users, then signal strength for users is improved, but interference to neighboring cells increases
Solution Approach 1:
The patent applies different noise metrics (SINR and SLNR) to different spatial regions within the cell coverage area. SINR is used for users in the cell center where interference is less critical, while SLNR is used for users at the cell edge where interference management is more important. This local differentiation allows optimal signal quality maximization without causing excessive interference to neighboring cells.
Solution Approach 2:
The patent changes the optimization parameter from a single SINR metric to a region-dependent metric that switches between SINR and SLNR based on user location. This parameter change enables the system to adapt its optimization behavior according to the spatial context, balancing signal quality and interference management dynamically.
2Productivity
If a denser macro base station grid is deployed to increase data rates, then data throughput is improved, but installation cost and time increase
Solution Approach 1:
The patent implements preliminary optimization of the existing macro base station grid through advanced scheduling algorithms that utilize multiple noise metrics. By optimizing resource allocation and scheduling decisions before any physical infrastructure changes are made, the system achieves improved data throughput without requiring time-consuming installations of additional base stations.
3Productivity
If a denser macro base station grid is deployed to increase data rates, then data throughput is improved, but installation cost increases
Solution Approach 1:
The patent implements preliminary optimization of the existing macro base station grid through advanced scheduling algorithms that utilize multiple noise metrics. By optimizing resource allocation and scheduling decisions before any physical infrastructure changes are made, the system achieves improved data throughput without requiring time-consuming installations of additional base stations.
4Productivity
If greedy scheduling algorithm is used to maximize aggregate throughput, then aggregate throughput is improved, but interference limited scenario occurs
Solution Approach 1:
The patent applies different noise metrics (SINR and SLNR) to different spatial regions within the cell coverage area. SINR is used for users in the cell center where interference is less critical, while SLNR is used for users at the cell edge where interference management is more important. This local differentiation allows optimal signal quality maximization without causing excessive interference to neighboring cells.
Solution Approach 2:
The patent incorporates feedback mechanisms that monitor interference levels and adjust scheduling decisions accordingly. By continuously monitoring the impact of scheduling decisions on neighboring cells and adapting the noise metric selection based on real-time conditions, the system prevents the emergence of interference-limited scenarios while maintaining high aggregate throughput.
Data Source
AI summary
A radio resource management, RRM, apparatus for at least one wireless communication network macrocell is provided. The macrocell includes at least a first coverage region and second coverage region. The RRM apparatus includes a processor that is configured to determine at least one scheduling block, SB, for use by at least one user device. The determination of the at least one SB is based at least in part on a first noise metric when the at least one user device is located within the first coverage region. The determination of the at least one SB is based at least in part on a second noise metric different from the first noise metric when the at least one user device is located within the second coverage region.