Fronthaul IQ Packet Allocation Under 5G Link Capacity Limits
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Solution Overview
Problem
The fronthaul link in 5G wireless telecommunication networks has a limited bandwidth that is often exceeded due to simultaneous high data transmission from multiple cells, lacking dynamic or optimization solutions to maximize its utilization.
Innovation Solution
Implementing a software intelligence layer that dynamically adjusts the handling of in-phase and quadrature (IQ) data packets on the fronthaul link by reallocating resources, modifying packet orders, and coordinating traffic across DUs and RUs to avoid exceeding capacity limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all DUs utilize their full capacity simultaneously for data transmission, then the data transmission volume increases, but the fronthaul link bandwidth capacity is exceeded
Solution Approach 1:
The patent implements dynamic resource allocation that adjusts fronthaul link capacity allocation in real-time based on traffic conditions. The system monitors IQ sample data volumes from multiple DUs and dynamically modifies resource allocation parameters to prevent bandwidth exhaustion while maximizing utilization, transforming the static capacity allocation into a dynamic adaptive system
Solution Approach 2:
The system changes key parameters such as resource allocation ratios, priority levels, and capacity thresholds to optimize fronthaul link utilization. By adjusting these parameters dynamically based on real-time traffic monitoring, the system prevents capacity violations while maintaining high productivity across multiple DUs
2Reliability
If the fronthaul link capacity is strictly limited, then bandwidth overload is prevented, but the utilization efficiency of the link is reduced
Solution Approach 1:
The patent transforms the static capacity limitation into a dynamic allocation mechanism that adapts to real-time traffic conditions. The system continuously monitors IQ sample volumes and adjusts resource allocation accordingly, allowing the link to operate near capacity limits without actually exceeding them, thus maximizing utilization while maintaining stability
Solution Approach 2:
The system implements a feedback mechanism that monitors fronthaul link utilization in real-time and uses this information to adjust resource allocation. This closed-loop control ensures that the link operates at optimal capacity levels, preventing overload while maximizing throughput through continuous adaptation based on actual traffic conditions
Data Source
AI summary
In response to detection that a capacity of the fronthaul link has been or will be exceeded, a software intelligence layer operating on a transport layer router that aggregates network traffic from the one or more radio units (RUs) causes a change in how in-phase and quadrature (IQ) data packets sent on the fronthaul link are handled to reduce use of the capacity of the fronthaul link. In another example embodiment, a software intelligence layer operating at an application layer of the wireless telecommunication network may perform one or more actions utilizing access to scheduler level information for the distributed units (DUs) to avoid the fronthaul link exceeding the capacity limit based on incoming IQ samples to a router that aggregates network traffic from one or more corresponding RUs.