Weighted Sub-Band Selection for Inter-Subnetwork Interference
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Solution Overview
Problem
Existing technologies face challenges in efficiently managing inter-subnetwork interference in 6G radio access networks, particularly in scenarios requiring extreme performance in terms of latency, reliability, and throughput, such as in-vehicle and in-production module subnetworks, where centralized sub-band selection is needed to minimize interference and optimize system performance.
Innovation Solution
A method and apparatus for interference weighting based sub-band selection, involving a configuration for determining weighted inter-subnetwork interference, which includes channel-dependent and traffic QoS-dependent weightings, allowing for centralized sub-band allocation to minimize interference and optimize system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized sub-band selection is implemented to minimize inter-subnetwork interference, then system performance and reliability are improved, but network complexity and coordination overhead increase
Solution Approach 1:
The patent implements a feedback mechanism where subnetworks report interference measurements and QoS requirements to a centralized controller, which then makes informed sub-band allocation decisions. This feedback loop enables the system to dynamically adjust resource allocation based on actual interference conditions, improving reliability while managing complexity through structured information exchange
Solution Approach 2:
The patent introduces a centralized controller as an intermediary entity that coordinates sub-band allocation across multiple subnetworks. This mediator consolidates the complexity of interference management and QoS coordination in a single entity, allowing individual subnetworks to operate more simply while achieving system-wide optimization through centralized decision-making
2Productivity
If interference weighting based on channel conditions and QoS is applied, then sub-band allocation optimality is improved, but calculation and processing complexity increase
Solution Approach 1:
The patent transforms the complex multi-dimensional optimization problem into a more manageable form by changing the parameter representation to weighted interference metrics. By combining channel conditions and QoS requirements into unified weighting factors, the system can evaluate sub-band options using simplified comparative metrics rather than complex multi-parameter optimization, improving throughput while reducing processing complexity
3Measurement precision
If detailed interference measurements and feedback are collected from all subnetworks, then sub-band selection accuracy is improved, but feedback overhead and signaling complexity increase
Solution Approach 1:
The patent extracts only the essential interference information needed for sub-band allocation decisions, rather than transmitting complete interference matrices or raw measurement data from all subnetworks. By identifying and transmitting only the critical metrics (weighted interference values and QoS parameters), the system maintains measurement precision while significantly reducing feedback overhead and signaling complexity
Data Source
AI summary
Embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media of interference weighting based sub-band selection procedure. The method comprises receiving, from a second device in a radio access network, a configuration for determining a weighted inter-subnetwork interference between a first subnetwork of the radio access network and at least one second subnetwork of the radio access network, wherein the configuration is indicative of at least one of a first weighting or a second weighting for the weighted inter-subnetwork interference; determining the weighted inter-subnetwork interference at least based on the configuration; and transmitting the weighted inter-subnetwork interference to the second device for selecting at least one sub-band for the first subnetwork. In this way, weighting operations may be proposed for the inter-subnetwork interferences and the associated low-complexity sub-band selection procedure to minimize the sum weighted interference over all the subnetworks, which may flexibly optimize and balance various system performance.