Wireless Backhaul Codec Switching for Emergency RAN Recovery
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Solution Overview
Problem
In emergency or disaster scenarios, conventional systems fail to efficiently utilize limited bandwidth of wireless backhaul connections due to continuous use of high-bandwidth codecs, leading to potential service disruptions for user equipment (UEs) in radio access networks (RANs).
Innovation Solution
Adjusting UE codecs to lower bitrates based on key performance indicators (KPIs) to optimize backhaul capacity, ensuring efficient utilization of wireless backhaul resources during failures or congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-bandwidth codecs are used continuously, then voice quality is maintained, but backhaul bandwidth is exhausted leading to service disruptions
Solution Approach 1:
The system dynamically adjusts codec type based on real-time backhaul bandwidth conditions. When bandwidth is sufficient, high-quality codecs are used; when bandwidth becomes constrained, the system transitions to lower-bitrate codecs to prevent service disruption. This dynamic adaptation resolves the contradiction between maintaining voice quality and preserving service continuity.
Solution Approach 2:
The invention changes the operational parameters of the codec (bitrate, audio bandwidth) based on backhaul availability. By monitoring key performance indicators and adjusting codec parameters accordingly, the system optimizes the balance between voice quality and bandwidth consumption, preventing resource exhaustion while maintaining service reliability.
2Quantity of substance
If codec bitrate is reduced, then backhaul capacity is conserved, but voice quality deteriorates
Solution Approach 1:
The system implements dynamic codec selection that adapts to real-time network conditions. Voice quality is maintained at high levels when backhaul capacity is available, and automatically degrades to acceptable levels when bandwidth is constrained. This dynamic behavior resolves the contradiction by making voice quality a function of available resources rather than a fixed requirement.
Solution Approach 2:
The system continuously monitors key performance indicators related to backhaul utilization and voice quality, using this feedback to adjust codec selection. This closed-loop control ensures that voice quality remains acceptable while optimizing backhaul capacity utilization, resolving the contradiction through data-driven decision making.
3Productivity
If more UEs are served, then network coverage is expanded, but backhaul resources become insufficient
Solution Approach 1:
The system changes codec parameters (bitrate, compression level) based on the number of active UEs and corresponding backhaul demand. As more UEs connect, the system automatically selects more efficient codecs that consume less bandwidth per user, enabling the network to serve more users without exhausting backhaul resources.
Solution Approach 2:
The invention implements dynamic resource allocation where codec selection adapts to the current load on the backhaul. When fewer UEs are connected, higher-bitrate codecs are used; as the number of UEs increases, the system transitions to lower-bitrate codecs, thereby expanding the number of served UEs while maintaining acceptable voice quality.
Data Source
AI summary
Methods for optimizing wireless backhaul resources are provided. The wired backhaul connection from a RAN node to the core wireless communication network may be damaged or otherwise unavailable during an emergency or disaster relief scenario. In such scenarios, a wireless backhaul with limited bandwidth may be used to connect the RAN node to the core wireless communication network. In response to a wired backhaul failure in an emergency or disaster relief scenario, wireless backhaul resources are optimized to ensure crucial voice data is transferred from the base station to the core network by adjusting codec types to those with a lower bitrate, such that more users can be accommodated simultaneously.