Massive MIMO Pairing Criteria Adjustment for Wireless Networks
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Solution Overview
Problem
Wireless networks face challenges in optimizing MIMO pairing efficiency and resource usage, particularly in ensuring that pairing efficiency is maintained while managing resource consumption effectively across various wireless devices and access nodes.
Innovation Solution
The system monitors pairing efficiency and resource usage thresholds to adjust MIMO pairing criteria, encouraging or discouraging MIMO pairing by modifying criteria such as angular separation, data buffer requirements, and the number of devices required to form a MIMO group, thereby optimizing pairing efficiency and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If MIMO pairing criteria are adjusted to increase pairing efficiency, then more devices can participate in MIMO, but resource usage increases
Solution Approach 1:
The patent implements dynamic adjustment of MIMO pairing criteria based on real-time monitoring of pairing efficiency and resource usage metrics. The system continuously adapts pairing thresholds, angular separation requirements, and device selection criteria to optimize the balance between pairing efficiency and resource consumption, rather than using static configuration parameters.
Solution Approach 2:
The system modifies multiple pairing parameters simultaneously including pairing efficiency thresholds, angular separation angles, data buffer requirements, and maximum device counts per MIMO group. By dynamically changing these parameters based on network conditions, the system resolves the contradiction between maximizing pairing efficiency and controlling resource usage.
2Use of energy by moving object
If MIMO pairing criteria are adjusted to reduce resource usage, then resource consumption decreases, but pairing efficiency may be reduced
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors both pairing efficiency and resource usage metrics, then uses this information to adjust pairing criteria. The system compares current performance against target thresholds and dynamically modifies pairing parameters to maintain optimal operation, preventing both excessive resource consumption and insufficient pairing efficiency.
Solution Approach 2:
The system dynamically adjusts pairing criteria based on real-time network conditions and performance metrics. By making pairing parameters adaptive rather than static, the system can respond to changing conditions to maintain the optimal balance between resource usage and pairing efficiency.
Data Source
AI summary
A pairing efficiency and/or a resource usage associated with wireless devices attached to a sector are monitored. Responsive to determining that the pairing efficiency is below a threshold and/or the resource usage is higher than a threshold, one or more pairing criteria are adjusted to increase MIMO pairing, thereby exploiting the benefits of massive MIMO in wireless networks.