Fronthaul Scheduler Feedback for Congestion-Aware Resource Allocation
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Solution Overview
Problem
Fronthaul networks experience underutilization and congestion issues due to variable traffic patterns and packet loss, leading to inefficient resource management and increased costs, with existing solutions failing to differentiate between air interface and fronthaul congestion.
Innovation Solution
Implementing a scheduler that detects fronthaul congestion through message sequence number errors and resource availability, and adjusts link adaptation and radio resource allocations to manage traffic patterns and prevent unnecessary reductions in spectral efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fronthaul is dimensioned to never lose a packet, then packet loss is eliminated, but statistical multiplexing gain is limited and transport costs increase
Solution Approach 1:
The patent implements a feedback mechanism where the radio unit detects packet loss and sends notifications to the baseband unit. The baseband unit then adjusts radio resource allocations based on this feedback, allowing the system to operate at higher utilization levels while compensating for packet loss through intelligent resource management rather than over-provisioning
Solution Approach 2:
The system dynamically adjusts radio resource allocations based on real-time fronthaul conditions. When packet loss is detected, the baseband unit modifies scheduling decisions and resource allocations adaptively, allowing the system to optimize statistical multiplexing gains while maintaining reliability through dynamic rather than static resource provisioning
2Productivity
If fronthaul is congested and packet loss occurs, then transport capacity is reduced, but HARQ retransmissions consume air interface resources and trigger more traffic
Solution Approach 1:
The patent implements a feedback mechanism where the radio unit detects packet loss and sends notifications to the baseband unit. The baseband unit then adjusts radio resource allocations based on this feedback, allowing the system to differentiate between fronthaul and air interface congestion, preventing unnecessary HARQ retransmissions and optimizing air interface resource utilization
Solution Approach 2:
The baseband unit acts as an intermediary between the fronthaul transport network and the air interface. It receives congestion information from the radio unit and translates this into appropriate radio resource management decisions, preventing the propagation of fronthaul congestion effects to the air interface and avoiding unnecessary retransmissions
3Productivity
If network grows and more RUs are deployed, then traffic capacity increases, but fronthaul congestion and packet loss increase
Solution Approach 1:
The system dynamically adjusts radio resource allocations based on real-time fronthaul conditions. When packet loss is detected due to network growth or increased traffic load, the baseband unit modifies scheduling decisions adaptively, allowing the network to scale while maintaining reliability through dynamic resource optimization rather than static over-provisioning
Solution Approach 2:
The feedback mechanism enables preliminary action by detecting packet loss early in the transmission process. The baseband unit can proactively adjust resource allocations before severe congestion occurs, preventing packet loss rather than merely reacting to it after the fact, thus enabling scalable network growth with maintained reliability
Data Source
AI summary
Disclosed are devices, methods, apparatuses, and computer readable media for fronthaul. An example apparatus for a scheduler may include at least one processor and at least one memory. The at least one memory may store instructions that, when executed by the at least one processor, may cause the apparatus at least to: monitor a feedback notifying a status of congestion in fronthaul; and perform at least one of the following: adjusting link adaptation, or adjusting radio resource allocations with a radio resource limit which restricts an amount of radio resources available per a time interval for a given cell or a group of cells.