MIMO Active Set Management via Scheduler Interference Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless communication systems, particularly multiple-input multiple-output (MIMO) networks, face challenges in managing active sets to optimize resource allocation and minimize interference and capacity issues, leading to complexity and latency in scheduling transmissions.
Innovation Solution
A scheduler in the network system determines the number of available MIMO dimensions and interference levels within active sets, calculating metrics to combine underperforming active sets with higher-performing ones, ensuring each active set meets threshold values for dimensions and interference, thereby optimizing resource allocation and reducing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If active sets are managed separately for each node, then device complexity is reduced, but network throughput and reliability deteriorate due to insufficient resource allocation and interference management
Solution Approach 1:
The patent combines multiple active sets from different nodes into a unified active set management structure. The scheduler aggregates active sets from multiple base stations, allowing coordinated resource allocation and interference management across the network, thereby improving reliability while maintaining manageable complexity through centralized control.
2Productivity
If active sets are combined to improve resource allocation, then network throughput improves, but device complexity and scheduling latency increase
Solution Approach 1:
The patent segments the active set management process into distinct phases: identification of available MIMO dimensions, interference level determination, metric calculation, and selective combining. This segmentation allows the scheduler to process only relevant active sets that meet threshold criteria, reducing overall complexity while maintaining high throughput through efficient resource utilization.
Solution Approach 2:
The patent introduces threshold parameters for MIMO dimensions and interference levels that dynamically control the combining process. By changing these parameters based on network conditions, the scheduler can adaptively adjust the level of combining, optimizing throughput while preventing excessive complexity in varying operational scenarios.
3Reliability
If active sets are combined to reduce interference, then signal quality improves, but scheduling latency increases due to additional metric calculations
Solution Approach 1:
The patent performs preliminary assessments of active sets by determining available MIMO dimensions and interference levels before committing to combining operations. This preliminary action filters out active sets that don't meet threshold criteria, reducing the number of metric calculations required and thereby minimizing scheduling latency while still achieving interference reduction for qualifying active sets.
Data Source
AI summary
Aspects of the disclosure relate to an active set management scheme implemented by a scheduler in a multiple-input multiple-output (MIMO) network that minimizes capacity and interference issues. For example, the scheduler can initially group each base station into a separate active set. The scheduler can then analyze each active set to determine whether the active set is a good or bad based on the level of interference in and the number of MIMO receive dimensions available in the respective active set. If the scheduler determines that an active set is a bad, the scheduler can determine a set of metrics that each represent a capacity and link quality that would result if the bad active set is combined with another active set. Based on the set of metrics, the scheduler can combine the bad active set with another active set, and repeat this process until no bad active sets remain.