AI Radio Resource Scheduling Across 5G Cells Under Interference
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Solution Overview
Problem
Current schedulers in 5G cellular networks result in lower throughput due to interference between neighboring gNBs allocating the same radio resources to different user devices, leading to slower communication within groups of cells.
Innovation Solution
A scheduler that utilizes parallel processing to determine radio resource allocations for user devices by decomposing the scheduling problem into smaller sub-problems, considering interference between cells, and reallocating resources in real-time to maximize throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current per-cell schedulers allocate radio resources independently, then device complexity is reduced and ease of operation is improved, but interference between neighboring gNBs increases and throughput decreases
Solution Approach 1:
The patent merges multiple per-cell schedulers into a single coordinated scheduler that manages radio resources across multiple cells. This unified scheduler evaluates interference between neighboring gNBs and makes joint resource allocation decisions, transforming independent local decisions into coordinated global optimization, thereby reducing inter-gNB interference and improving overall throughput
Solution Approach 2:
The coordinated scheduler implements feedback mechanisms where information about resource allocations and interference levels from neighboring gNBs is exchanged and utilized. This feedback loop enables the scheduler to adjust resource allocations dynamically based on actual interference conditions, optimizing throughput while managing harmful interference effects
2Productivity
If a unified scheduler coordinates resource allocation across multiple cells, then interference is reduced and throughput is improved, but device complexity increases
Solution Approach 1:
The unified scheduler is segmented into multiple functional modules, each responsible for specific tasks such as interference measurement, resource block management, user equipment scheduling, and coordination communication. This modular architecture reduces overall complexity by allowing each segment to handle specific sub-problems independently while contributing to the coordinated optimization goal
Data Source
AI summary
Apparatuses, systems, and techniques to allocate one or more compute resources to a user device. In at least one embodiment, one or more circuits cause one or more compute resources to be allocated to two or more fifth-generation (5G) radio access network (RAN) cells based, at least in part, on interference between the two or more 5G RAN cells.