Dynamic BWP Analytics for 5G Energy and QoS Trade-offs
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Solution Overview
Problem
Current BWP management in 5G networks is inefficient, leading to suboptimal power savings and Quality of Service (QoS) due to static policies and inadequate dynamic switching, which results in increased energy consumption and potential QoS degradation.
Innovation Solution
Implementing a BWP analytics module that analyzes traffic parameters, channel conditions, and BWP settings to dynamically manage BWPs, allowing for optimal selection and switching of BWPs based on UE performance and network conditions, thereby optimizing BWP configuration and distribution across cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static BWP management policies are used, then device complexity is reduced and ease of operation is improved, but energy consumption increases and QoS deteriorates
Solution Approach 1:
The patent implements dynamic BWP management by enabling the gNB to monitor UE performance metrics (throughput, latency, packet error rate) and automatically switch UEs between different BWPs based on real-time network conditions and QoS requirements, replacing static configuration with adaptive control
Solution Approach 2:
The system establishes a feedback loop where the gNB continuously monitors UE performance in the current BWP and uses this information to make informed switching decisions, adjusting BWP allocation based on measured throughput, latency, and error rates to optimize energy efficiency while maintaining QoS
2Device complexity
If static BWP management policies are used, then device complexity is reduced, but QoS deteriorates
Solution Approach 1:
The patent implements dynamic BWP management by enabling the gNB to monitor UE performance metrics (throughput, latency, packet error rate) and automatically switch UEs between different BWPs based on real-time network conditions and QoS requirements, replacing static configuration with adaptive control
Solution Approach 2:
The system dynamically changes BWP parameters (bandwidth, subcarrier spacing, cyclic prefix length) based on monitored QoS metrics and network conditions, adjusting these parameters to optimize both service quality and resource efficiency
3Device complexity
If inadequate dynamic switching is implemented, then device complexity is reduced, but power savings deteriorate
Solution Approach 1:
The patent implements dynamic BWP management by enabling the gNB to monitor UE performance metrics (throughput, latency, packet error rate) and automatically switch UEs between different BWPs based on real-time network conditions and QoS requirements, replacing static configuration with adaptive control
Solution Approach 2:
The system dynamically changes BWP parameters (bandwidth, subcarrier spacing, cyclic prefix length) based on monitored QoS metrics and network conditions, adjusting these parameters to optimize both service quality and resource efficiency
Data Source
AI summary
A method for optimizing bandwidth part (BWP) management for 5G wireless network includes: periodically analyzing, by a BWP analytics module located at one of near-real-time radio access network intelligent controller (near-RT RIC) or a distributed unit (DU) of a gNodeB, at least one of physical resource block (PRB) utilization difference, delay violation percentage corresponding to a percentage of logical channels not able to meet delay requirements for quality of service (QOS) profile assigned to the logical channels, throughput, and interference levels of a BWP to classify the BWP; periodically analyzing, by the BWP analytics module, at least one of PRB utilization, throughput, and delay requirements of at least one user equipment (UE); and categorizing, by the BWP analytics module, the at least one UE into one of a plurality of BWP classifications based on the analyzing of the at least one of PRB utilization, throughput, and delay requirements.