MU-MIMO Scheduling via Virtual User Devices and Power Gradients
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In MU-MIMO wireless systems, the base station faces challenges in efficiently scheduling user devices due to hardware constraints and limited processing capability, leading to co-channel interference and suboptimal system sum-rate, as existing methods are resource-intensive and require evaluating numerous beam combinations for effective power allocation.
Innovation Solution
The method involves receiving beam indications from user devices, generating virtual user devices for each beam combination, estimating data rates and power gradients, and scheduling radio frequency transmissions based on determined powers to improve transmission quality by selecting beams with higher power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the base station evaluates numerous beam combinations for effective power allocation in MU-MIMO scheduling, then the transmission quality is improved, but the processing complexity and resource consumption increase significantly
Solution Approach 1:
The patent segments the complex beam combination evaluation into two stages: first, UDs independently select their preferred beams based on channel conditions; second, the base station performs simplified power allocation only on the pre-selected beam combinations. This segmentation reduces the search space from all possible beam combinations to only those selected by UDs, significantly lowering processing complexity while maintaining transmission quality.
Solution Approach 2:
The patent applies preliminary action by having UDs perform beam selection before the base station performs power allocation. The UDs' beam indications serve as a preliminary filtering step that identifies promising beam combinations, allowing the base station to focus computational resources on power optimization rather than exhaustive beam search, thus reducing overall processing complexity.
2Productivity
If the base station serves more user devices simultaneously in MU-MIMO, then the system sum-rate increases, but the co-channel interference among users increases
Solution Approach 1:
The patent changes the power parameter dynamically for each beam based on the selected UD combinations. By adjusting power allocation according to the specific beam selections and interference conditions, the system can serve more users simultaneously while controlling interference through optimized power distribution across different beams and user groups.
Solution Approach 2:
The patent applies local quality by allocating different power levels to different beams and user groups based on their specific channel conditions and interference environments. This localized power optimization allows the system to maximize the sum-rate by serving multiple users with tailored power allocation, while mitigating interference in specific spatial directions where it is most problematic.
3Measurement precision
If the base station performs detailed power allocation for each beam combination, then the data rate estimation accuracy is improved, but the computational resources required increase
Solution Approach 1:
The patent applies partial action by performing detailed power allocation and data rate estimation only for the beam combinations that are actually selected by UDs, rather than evaluating all possible beam combinations. This partial evaluation achieves sufficient accuracy for the scheduled users while consuming significantly fewer computational resources compared to exhaustive evaluation.
Data Source
AI summary
A base station is configured to perform a method for communicating with a plurality of user device (UD) multi-user multi-input multi-output (MU-MIMO) wireless system. The method includes receiving an indication of a selected beam from each of at least two UDs; determining, based on the indication of selected beam, a selected beam for each of the at least two UDs; generating a virtual UD for each combination of each selected beam; estimating a data rate for each virtual UD corresponding to the selected beam and the UD that selects the selected beam; estimating a power gradient for each selected beam; determining a power for each of the selected beams based on the power gradient for each of the selected beams; and scheduling outgoing radio frequency transmissions.