MIMO Beamforming Resource Scheduling via User Grouping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In MIMO+BF systems, the existing resource allocation methods limit the number of accessible users due to the requirement for each user to be allocated at least one group of sub-channels, leading to inefficient use of resources and reduced system throughput.
Innovation Solution
A downlink resource scheduling method that divides users into groups based on their MIMO+BF weights, generates scheduling priority coefficients for each group, and allocates group resources and sub-channel resources accordingly, allowing users with similar weights to share resources and increasing the number of accessible users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each user is allocated at least one group of sub-channels, then resource allocation fairness is improved, but the number of accessible users is limited and system throughput is reduced
Solution Approach 1:
The patent merges multiple users with similar MIMO+BF weights into a single user group, allowing them to share the same group resource. This combining approach enables multiple users to be served simultaneously within one group resource allocation, thereby increasing the number of accessible users and system throughput while maintaining resource allocation fairness through priority coefficients.
Solution Approach 2:
The patent changes the allocation parameter from individual user-based sub-channel allocation to user group-based resource allocation. By grouping users according to their MIMO+BF weight characteristics and allocating resources at the group level, the system can serve more users efficiently while maintaining fairness through the priority coefficient mechanism.
2Measurement precision
If distributed mapping with dedicated pilot frequency is used, then beam-forming precision is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent combines multiple users into user groups that share common group resources, including the dedicated pilot frequency. This merging allows the system to maintain precise beam-forming for each user within the group while reducing overall resource consumption by eliminating redundant pilot allocations, thus improving resource utilization efficiency without compromising beam-forming precision.
3Loss of energy
If users are divided into groups based on MIMO+BF weights, then resource utilization efficiency is improved, but scheduling complexity increases
Solution Approach 1:
The patent changes the scheduling approach by introducing user grouping based on MIMO+BF weight parameters. This parameter-based grouping simplifies the scheduling process by reducing the number of independent allocation decisions needed, while the calculated priority coefficients provide a straightforward mechanism for fair resource distribution within groups, balancing efficiency improvement with manageable complexity.
Solution Approach 2:
The patent implements a feedback mechanism where user MIMO+BF weights are evaluated and used to dynamically form user groups. This feedback loop allows the system to adaptively optimize resource utilization based on current channel conditions while maintaining a structured scheduling approach through priority coefficients, managing complexity through systematic weight-based classification.
Data Source
AI summary
The present invention provides a downlink resource scheduling method and a transmission end for a multiple-input multiple-output beam-forming (MIMO+BF) system. The transmission end performs the following steps of: dividing subordinate users into user groups according to respective MIMO+BF weights of the subordinate users; generating a scheduling priority coefficient for each of the user groups according to scheduling priority coefficients of respective users in the user group; allocating group resources to the user groups according to the respective scheduling priority coefficients of the user groups; and allocating sub-channel resources of the group resources to each user in the user groups according to the respective scheduling priority coefficients of users in the user groups.