Dynamic Fronthaul Bit Rate Adaptation for Wireless Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current fronthaul technologies face scalability issues due to high bit rate requirements, leading to bottlenecks in wireless communication networks, as they need to carry more than 12 times the actual air-interface traffic rate, which increases costs and reduces efficiency.
Innovation Solution
Adapting the bit rate of time-domain sample representations in fronthaul links based on actual traffic load, allowing for dynamic adjustment of sampling rates and quantization bits to optimize bandwidth usage while maintaining air performance levels, enabling statistical multiplexing and reducing overall capacity requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high bit rate transmission is used to maintain radio signal quality, then signal quality is preserved, but fronthaul capacity requirements increase significantly
Solution Approach 1:
The patent implements dynamic adaptation of fronthaul bit rate based on actual traffic load conditions. The system monitors traffic load and adjusts the number of quantization bits and sampling rate accordingly, transitioning from static high bit rate transmission to dynamic variable bit rate transmission. This resolves the contradiction by making the system adaptable - using high bit rate only when necessary for signal quality while reducing bit rate during low traffic periods to conserve fronthaul capacity.
Solution Approach 2:
The patent changes key parameters including the number of quantization bits per IQ sample and the sampling rate based on traffic load conditions. Instead of using fixed high-bit quantization (e.g., 15-30 bits) and constant sampling rates, the system dynamically adjusts these parameters to match actual traffic demands, thereby reducing fronthaul capacity requirements while maintaining signal quality when needed.
2Device complexity
If constant bit rate transmission is used to simplify implementation, then system complexity is reduced, but fronthaul link utilization efficiency decreases
Solution Approach 1:
The patent introduces dynamic bit rate adaptation mechanisms that monitor traffic load and adjust transmission parameters in real-time. This transforms the static constant bit rate system into a dynamic variable bit rate system, improving fronthaul link utilization efficiency by matching transmission capacity to actual traffic demands while maintaining manageable system complexity through standardized adaptation procedures.
3Reliability
If high quantization bits are used to maintain signal quality, then radio signal quality is preserved, but fronthaul data rate increases
Solution Approach 1:
The patent dynamically changes the number of quantization bits per IQ sample based on traffic load conditions. Instead of using fixed high quantization bits (e.g., 15-30 bits) for all conditions, the system adjusts the quantization precision to match actual traffic demands, thereby reducing fronthaul data rate while maintaining radio signal quality when high precision is actually needed.
4Measurement precision
If high sampling rate is used to capture signal details, then signal accuracy is improved, but fronthaul capacity requirements increase
Solution Approach 1:
The patent dynamically adjusts the sampling rate based on traffic load conditions and signal characteristics. Instead of using constant high sampling rates that exceed actual needs, the system adapts the sampling rate to match traffic demands, thereby reducing fronthaul capacity requirements while maintaining signal accuracy when high precision sampling is actually required.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
A method (10) of controlling utilization of a fronthaul link in a wireless communication network, the fronthaul link being configured to transport a time-domain sample representation of a carrier having a traffic load, the time-domain sample representation of the carrier being generated at a bit rate. The method comprising: obtaining (12) an indication of a traffic load of the carrier; determining (14) a new bit rate for the time-domain sample representation of the carrier, the new bit rate being dependent on the indication of the traffic load of the carrier; and generating (16) a control signal configured to cause the time-domain sample representation of the carrier to be generated at the new bit rate.