Hierarchical Clustering for Inter-Cell MIMO Scheduling
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Solution Overview
Problem
Existing wireless communication systems face challenges in optimizing performance across multiple cell-sites in inter-cell MIMO systems, particularly in determining which cells should cooperate for effective user equipment service, leading to inefficiencies in scheduling and data transfer.
Innovation Solution
A hierarchical clustering framework is introduced, where base stations are organized into master and nested clusters, with master clusters handling scheduling and nested clusters managing high-speed data transfer, allowing for dynamic adjustments based on network conditions to optimize service delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If inter-cell MIMO systems pool antennas from different cell-sites to create cooperation sets, then system performance and MIMO transmission efficiency are improved, but the complexity of determining which cells should cooperate and the difficulty of scheduling increase
Solution Approach 1:
The patent segments the inter-cell MIMO system into multiple cooperation sets, where each cooperation set contains a specific group of cells selected to work together. This segmentation approach divides the complex network into manageable units, reducing the overall system complexity while maintaining MIMO transmission efficiency through coordinated multi-point (CoMP) operations within each set.
Solution Approach 2:
The patent introduces a hierarchical dimension to cell cooperation by organizing cells into multiple levels: cooperation sets at the first level, and clusters of cooperation sets at higher levels. This dimensional organization transforms the flat, complex cell selection problem into a structured hierarchy, making it easier to determine which cells should cooperate while preserving transmission efficiency.
2Reliability
If cells are organized into cooperation sets for inter-cell MIMO, then network performance is improved, but the scheduling complexity and difficulty of managing multiple cells increases
Solution Approach 1:
The patent segments the network into multiple cooperation sets, each with its own scheduling domain. This allows scheduling decisions to be made locally within each set rather than globally across the entire network, significantly reducing scheduling complexity while maintaining improved network performance through coordinated transmission.
Solution Approach 2:
The patent enables dynamic formation and reconfiguration of cooperation sets based on network conditions, user equipment locations, and traffic demands. This dynamic approach allows the system to adapt to changing conditions, maintaining high network performance while keeping scheduling manageable through localized, condition-based decisions.
3Productivity
If master clusters handle scheduling and nested clusters handle data transfer, then system performance is improved by separating functions, but the device complexity and hierarchy management increases
Solution Approach 1:
The patent segments cluster functionality into distinct roles: master clusters handle scheduling and control functions, while nested clusters handle data transfer and user equipment serving. This functional segmentation improves system performance by optimizing each cluster type for its specific purpose while reducing overall hierarchy management complexity through clear role differentiation.
Solution Approach 2:
The patent creates a universal hierarchical framework where master clusters and nested clusters can be dynamically formed and reconfigured based on network conditions. The framework provides multi-functionality by allowing clusters to serve different purposes (scheduling vs. data transfer) while following the same hierarchical management principles, reducing the complexity of managing diverse cluster types.
Data Source
AI summary
A method for wireless communications is provided. The method includes forming a first set of wireless components into a master cluster that provides upper level service functionality to a subset of user devices. The method includes forming a second set of wireless components into a nested cluster that is associated with the master cluster, where the nested cluster provides data transfer to and from the subset of user devices.