Dynamic MU-MIMO Scheduling via Throughput Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Massive MU-MIMO wireless networks face challenges in scheduling resources effectively, leading to compromised throughput when adding or denying wireless devices access to data streams, as existing methods fail to optimize resource allocation dynamically based on device usage and availability.
Innovation Solution
A method and system for scheduling resources in massive MU-MIMO networks that identify subsets of wireless devices with low resource usage and those not using MU-MIMO mode, instructing devices to switch modes based on thresholds and throughput indicators, adjusting time windows to optimize resource allocation and balance MU-MIMO group resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If additional wireless devices are added to the massive MU-MIMO data stream, then more devices can access high-speed data transmission, but the throughput for existing devices in the sector is compromised
Solution Approach 1:
The patent implements dynamic scheduling that adjusts device assignment to MU-MIMO mode based on real-time resource usage thresholds. Devices are dynamically moved between MU-MIMO and non-MU-MIMO groups according to their current resource consumption, allowing the system to adapt to changing network conditions and optimize throughput for all devices.
Solution Approach 2:
The system changes the parameter of device grouping by monitoring resource usage and adjusting which devices participate in MU-MIMO mode. By modifying the composition of the MU-MIMO group based on resource consumption thresholds, the system optimizes the balance between providing high-speed access to more devices and maintaining overall sector throughput.
2Productivity
If additional wireless devices are denied access to the massive MU-MIMO data stream, then existing device throughput is maintained, but throughput for additional devices is compromised
Solution Approach 1:
The patent employs feedback mechanisms where resource usage is continuously monitored and evaluated against predefined thresholds. This feedback loop enables the system to automatically adjust device assignment to MU-MIMO mode, ensuring that devices with lower resource usage can access the high-speed transmission while maintaining overall sector throughput performance.
3Productivity
If devices with low resource usage continue to utilize MU-MIMO mode, then high-speed data transmission is maintained, but resource allocation efficiency is reduced
Solution Approach 1:
The system monitors resource usage parameters and dynamically changes device assignment based on threshold comparisons. Devices whose resource usage falls below the threshold are removed from the MU-MIMO group, while devices above the threshold are admitted. This parameter-based approach optimizes resource allocation efficiency while maintaining high-speed transmission for deserving devices.
Data Source
AI summary
Systems, methods, and processing nodes are configured to perform scheduling in a wireless network utilizing a multi-user multiple-input multiple-output (MU-MIMO) operating mode, by determining that a throughput indicator of a sector meets a threshold, and adjusting a time window during which a first one or more wireless devices are removed from a MU-MIMO group and a second one or more wireless devices are added to the MU-MIMO group. The first one or more wireless devices comprise any wireless device that has a throughput below a threshold, and the second one or more wireless devices comprise any wireless device that has not been in the MU-MIMO group for a predefined time period.