Dynamic MIMO Cell Clustering for Uplink Downlink Optimization
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Solution Overview
Problem
Existing MIMO data transmission schemes in mobile telecommunication networks face challenges in dynamically optimizing cell clustering for improved data throughput and link reliability, especially in scenarios with varying channel conditions and resource allocation.
Innovation Solution
A method for dynamically grouping cells into individual uplink and downlink clusters based on signal power and quality measurements, with each mobile device selecting candidate cells that meet specific criteria for allocable resources, and a master cell coordinating the MIMO data transmission scheme to optimize scheduling and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static cell clusters are used for MIMO data transmission, then implementation simplicity is maintained, but data throughput and link reliability cannot be optimized under varying channel conditions
Solution Approach 1:
The patent implements dynamic cell clustering where cells are grouped into different clusters (first cluster for uplink, second cluster for downlink) based on real-time channel conditions and signal quality measurements. This allows the system to adapt cluster configurations dynamically rather than using static clusters, thereby optimizing data throughput and link reliability under varying channel conditions while maintaining manageable complexity through structured clustering rules
2Productivity
If cell clusters are dynamically optimized for each mobile device, then data transmission efficiency is improved, but scheduling complexity increases
Solution Approach 1:
The patent segments the cell cluster into at least two distinct clusters: a first cluster dedicated to uplink data reception and a second cluster dedicated to downlink data transmission. This segmentation allows independent optimization of each cluster for its specific direction while reducing overall scheduling complexity compared to fully dynamic per-device clustering. Each cluster can be managed with direction-specific criteria, simplifying the scheduling decisions
Solution Approach 2:
The patent applies different selection criteria and optimization strategies to different clusters based on their specific functions. The first cluster for uplink uses criteria optimized for receiving signals from mobile devices, while the second cluster for downlink uses criteria optimized for transmitting signals to mobile devices. This local quality approach allows tailored optimization for each cluster's purpose, improving overall transmission efficiency while keeping individual cluster management relatively simple
3Reliability
If individual cell selection is performed for each mobile device, then link reliability is improved, but computational overhead and signaling increase
Solution Approach 1:
The patent creates cell clusters that can serve multiple mobile devices with similar channel characteristics. Once cells are grouped into the first and second clusters based on their signal quality and channel properties, these clusters can be reused for multiple devices, reducing computational overhead. The cluster configurations represent universal groupings that work for multiple devices rather than requiring individual cell selection for each device, thereby maintaining link reliability while reducing computational burden
Data Source
AI summary
The invention relates to a method of grouping a first plurality of cells contained in a subset of cells of a wireless telecommunication network (100) to a first cluster for receiving uplink data from a mobile telecommunication device (106; 200), and grouping a second plurality of cells contained in the subset of cells to a second cluster for transmitting downlink data to the mobile telecommunication device.