MU-MIMO Slice Policy Controller for Interference Management
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Solution Overview
Problem
The integration of network slicing and Multi-User Multiple Input Multiple Output (MU-MIMO) technology in wireless communication systems faces challenges in resource allocation and interference management, leading to uncertainty in Quality of Service (QoS) and slice performance due to non-orthogonal beams and varying resource allocation across different slices.
Innovation Solution
The implementation of a MU-aware Slice Policy Controller (MUSPC) that receives network instructions to control radio access nodes for preferential MU-pairing, adjusts resource allocation based on slice quotas, and accounts for interference, ensuring efficient resource usage and predictable slice performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network slicing and MU-MIMO technology are integrated to enable multiple users to share network resources simultaneously, then resource utilization and data rates are improved, but interference management becomes complex and QoS prediction becomes uncertain
Solution Approach 1:
The patent changes the parameters of resource allocation by introducing slice-specific weighting factors and priority levels. The network controller adjusts allocation parameters dynamically based on slice type (e.g., eMBB, URLLC, mMTC) and user conditions, transforming the resource allocation from a fixed pattern to a flexible, parameter-driven system that can predict QoS outcomes.
Solution Approach 2:
The patent implements a feedback mechanism where the network controller receives information about current network conditions, user requirements, and slice performance metrics. This feedback loop enables the controller to adjust resource allocation decisions in real-time, improving QoS prediction accuracy by incorporating actual system state information into the allocation algorithm.
2Productivity
If non-orthogonal beams are used in MU-MIMO to serve multiple users simultaneously, then network capacity increases, but interference between users increases and resource allocation becomes uncertain
Solution Approach 1:
The patent applies local quality by assigning different resource allocation characteristics to different network slices. Each slice type (eMBB, URLLC, mMTC) receives tailored resource allocation parameters, weighting factors, and priority levels appropriate to its specific requirements. This localized optimization allows non-orthogonal beams to serve multiple users while maintaining predictable QoS for each slice type.
Solution Approach 2:
The patent creates a composite resource allocation framework that combines multiple allocation strategies for different slice types within the same MU-MIMO system. By compositeing slice-specific resource allocation rules with overall network optimization goals, the system achieves high network capacity while managing interference through differentiated treatment of different user groups.
3Reliability
If slice-specific resource allocation is implemented to meet different QoS requirements, then service quality improves, but resource allocation complexity increases
Solution Approach 1:
The patent segments the resource allocation process into distinct components: slice identification, slice-type determination, weighting factor assignment, and allocation execution. This segmentation allows the complex task of slice-specific resource allocation to be broken down into manageable steps, reducing implementation complexity while maintaining service quality differentiation.
Solution Approach 2:
The patent implements a universal resource allocation framework that handles multiple slice types (eMBB, URLLC, mMTC) and multiple users through a single multi-functional controller. The network controller performs multiple functions including slice identification, QoS parameter determination, resource allocation, and interference management, reducing overall system complexity by consolidating these functions in one universal mechanism.
Data Source
AI summary
Apparatuses and methods in a communication system are provided. A method comprises receiving from network instructions of how to control multi-user multiple input multiple output connections maintained by one or more radio access nodes, the connections utilising one or more slices. One or more radio access nodes perform, based at least in part on the received network instructions, multi-user pairing of terminal devices of the same or different slices, and determine, based at least in part on the received network instructions, slice-based quota taking multi-user pairing and interference arising from paired allocations into account.