UE Resource Pool Scheduling with Pivot Pairing and Precoding
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Solution Overview
Problem
Existing communication systems face challenges in efficiently scheduling resources to a diverse set of user equipment (UEs) that require different transmission modes, such as TM7, TM8, and TM9, due to the increasing demand for flexible MU-MIMO UE pairing and resource allocation.
Innovation Solution
A method and system that involves grouping UEs based on various inputs, determining a pivot UE using a first metric, pairing UEs using a second metric, and applying precoding weights to optimize resource allocation, utilizing linear and non-linear precoding techniques to manage SU-MIMO and MU-MIMO modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If MU-MIMO technology is used to support multiple transmission modes for diverse UEs, then system flexibility and resource allocation capability are improved, but scheduling complexity and computational overhead increase
Solution Approach 1:
The patent segments the scheduling process into distinct phases: UE grouping based on transmission mode requirements, pivot UE selection within groups, and pairing of UEs with compatible transmission modes. This segmentation transforms the complex overall scheduling problem into manageable sub-tasks, reducing computational complexity while maintaining support for multiple transmission modes (TM3, TM4, TM7, TM8, TM9).
Solution Approach 2:
The patent applies local quality by treating different UE groups with different scheduling strategies. Each group is formed based on specific transmission mode requirements, and pivot UEs are selected and paired within their respective groups using metrics tailored to their characteristics. This localized approach allows the system to handle diverse transmission mode requirements without applying a single complex scheduling algorithm to all UEs.
2Reliability
If the scheduler prioritizes all UEs based on multiple requirements, then fairness among UEs is improved, but scheduling decision complexity increases
Solution Approach 1:
The patent segments fairness considerations into group-level fairness (ensuring each transmission mode group receives appropriate resources) and intra-group fairness (ensuring individual UEs within groups are fairly scheduled). This segmentation allows the implementation of multiple fairness metrics without requiring a single overly complex decision-making mechanism that considers all factors simultaneously.
Solution Approach 2:
The patent uses parameter changes by introducing specific metrics for pivot UE selection and UE pairing that adapt to different transmission mode groups. These metrics dynamically adjust scheduling decisions based on channel conditions, buffer status, and transmission mode compatibility, enabling fair scheduling across diverse requirements without fixed complex rules.
3Manufacturing precision
If precoding weights are determined for each UE in MU-MIMO mode, then resource allocation precision is improved, but computational overhead increases
Solution Approach 1:
The patent segments precoding weight determination into group-specific operations. Pivot UEs are selected from each group, and precoding weights are determined for pivot UEs and their paired UEs separately. This segmentation reduces the overall computational burden compared to determining precoding weights for all UEs simultaneously, while still achieving precise resource allocation within each group.
Solution Approach 2:
The patent applies preliminary action by selecting pivot UEs in advance from each transmission mode group before determining precoding weights. This preliminary selection identifies key reference UEs that will guide the precoding weight determination process, reducing the complexity of subsequent weight calculations while maintaining allocation precision for all UEs in the group.
Data Source
AI summary
Embodiments of the present disclosure relates to a method and system to schedule a pool of resources to a plurality of user equipment's (UEs). The method comprises grouping the UEs using inputs from UEs, to obtain a plurality of groups. Also, method comprises determining a pivot UE from the UEs using a first metric associated with each of the UEs, associated with a selected group from the plurality of groups. Further, the method comprises pairing the pivot UE with at least one UE using a second metric, wherein the at least one UE is associated with the selected group. Next, precoding weights are determined for each of the plurality of UE's associated with the selected group. Thereafter, transmitting data and reference signals associated with each UE associated with the selected group, using the corresponding precoding weights on a sub-set of pool of resources.