Fronthaul Packet Prioritization for 5G Congestion Management
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Solution Overview
Problem
Current queue management solutions for fronthaul networks in radio networks are not optimized for the specific requirements of 5G, leading to unpredictable performance and packet loss issues due to the sharing of fronthaul links between base stations, which can result in lower air-interface throughput and detrimental effects on user equipment performance.
Innovation Solution
A method and apparatus for managing packet dropping in fronthaul networks by using first information related to the transmission of radio data over a radio access interface to apply prioritization rules and select packets to drop, thereby minimizing the impact of packet drops on the end-user experience and reducing congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fronthaul links are shared between multiple base stations to improve resource utilization, then network efficiency is improved, but packet loss and queueing delays increase due to excessive traffic
Solution Approach 1:
The patent applies local quality by differentiating packet handling based on radio transmission conditions. Packets are categorized into different priority levels (first priority for good conditions, second priority for poor conditions) and handled differently in the queue management system, allowing critical packets to be prioritized while less critical packets can be dropped during congestion.
Solution Approach 2:
The patent changes the parameter of packet priority based on radio transmission conditions. By dynamically adjusting packet priority levels according to air interface throughput and transmission quality, the system adapts queue management to current network conditions, resolving the contradiction between sharing resources and maintaining reliability.
2Reliability
If packet buffers are increased to reduce packet loss, then packet loss decreases, but queueing time increases and device complexity increases
Solution Approach 1:
The patent divides the packet buffer into different priority queues (first priority queue and second priority queue) with different management policies. High-priority packets experience minimal queueing time while low-priority packets can be buffered longer or dropped during congestion, thus reducing overall queueing time while maintaining reliability for critical traffic.
Solution Approach 2:
The patent segments the packet buffer into multiple priority-based queues rather than using a single large buffer. This segmentation allows differential handling of packets based on their importance and radio conditions, reducing average queueing time while preventing packet loss for high-priority traffic.
3Ease of operation
If generic queue management schemes are applied to fronthaul networks, then implementation simplicity is improved, but performance predictability deteriorates due to unpredictable packet drops
Solution Approach 1:
The patent changes the packet priority parameter based on radio transmission conditions (air interface throughput, transmission quality) rather than using fixed generic queue management. This dynamic parameter adjustment maintains implementation simplicity while significantly improving performance predictability by adapting to actual network conditions.
Solution Approach 2:
The patent implements feedback by continuously monitoring radio transmission conditions and using this information to adjust packet priority levels and queue management decisions. This feedback loop ensures predictable performance by responding to actual network state rather than relying on generic predetermined rules.
4Productivity
If packets are dropped intentionally to satisfy quality of service requirements, then resource allocation fairness is improved, but end-user experience deteriorates when drops affect critical traffic
Solution Approach 1:
The patent applies local quality by treating different packets differently based on their priority and radio conditions. Critical packets (first priority) are protected from dropping even during congestion, while non-critical packets (second priority) can be dropped to maintain fairness. This ensures end-user experience is not degraded when resource allocation fairness is enforced.
Data Source
AI summary
Embodiments described herein relate to methods and apparatus for managing packet dropping in the fronthaul network. A method in a packet processing system includes receiving a plurality of data packets for transmission over the fronthaul network, wherein the plurality of data packets include radio data; obtaining first information for the plurality of data packets, wherein the first information is related to transmission of the radio data over a radio access interface in the radio network; and responsive to a requirement to decrease a load in the fronthaul network, selecting at least one of the plurality of packets to drop by applying at least one prioritization rule to the plurality of data packets based on the obtained first information.