Dual-Connectivity Node Selection via MU-MIMO Grouping Efficiency
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Solution Overview
Problem
Wireless communication systems face challenges in spectral efficiency, particularly in densely populated areas where providing high aggregate throughput with limited spectrum is necessary, and existing dual-connectivity setups do not effectively leverage MU-MIMO grouping efficiency when selecting secondary nodes for enhanced data transmission.
Innovation Solution
The method involves evaluating the MU-MIMO grouping efficiency of potential secondary nodes to determine whether to establish dual-connectivity service and which node to use, based on their ability to provide efficient MU-MIMO service, by measuring the number of UEs served with MU-MIMO per unit time, and selecting nodes with higher MU-MIMO grouping efficiency for enhanced spectral efficiency and data capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dual-connectivity service is established without considering MU-MIMO grouping efficiency, then connectivity coverage is improved, but spectral efficiency deteriorates
Solution Approach 1:
The patent changes the selection parameter for secondary nodes from basic connectivity metrics to MU-MIMO grouping efficiency metrics. The master node evaluates candidate secondary nodes based on their MU-MIMO capability parameters (number of UEs served with MU-MIMO per unit time) and selects nodes that optimize spectral efficiency while maintaining connectivity coverage.
2Productivity
If more secondary nodes are selected for dual-connectivity, then data transmission capacity is improved, but resource availability deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the master node continuously monitors MU-MIMO grouping efficiency of candidate secondary nodes and adjusts dual-connectivity configuration accordingly. The selection of secondary nodes is based on real-time or periodic evaluation of their MU-MIMO performance, ensuring optimal resource utilization while maximizing data transmission capacity.
Data Source
AI summary
When a first access node is considering setup of dual-connectivity service for a UE, the first access node could take into consideration the MU-MIMO grouping efficiency respectively of each of one or more candidate second access nodes, in order to decide whether to set up the dual-connectivity service for the UE and/or to decide which of the multiple second access nodes to use for the UE's dual-connectivity service. MU-MIMO grouping efficiency of a given access node could be a representative count of UEs that the access node has provided with MU-MIMO service per unit time. Thus, for instance, the first access node may decide to use a given candidate second access node for the dual-connectivity service of the UE, with the decision being based on the given candidate second access node having a higher MU-MIMO grouping efficiency than one or more other candidate second access nodes.