Reflective QoS Mapping Rule Derivation via Packet Filtering
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Solution Overview
Problem
Wireless communication systems face challenges in managing finite channel resources due to signal attenuation and blocking in complex environments, leading to inefficiencies in channel measurement and optimization, particularly in implementing reflective quality of service (RQoS) which requires extensive computations and increased power consumption.
Innovation Solution
Implementing a method in user equipment (UE) to derive RQoS mapping rules based on a subset of downlink user data packets, reducing computational load and power consumption by filtering only necessary packets, and optimizing RQoS implementation during handovers between 4G and 5G networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RQoS mapping rules are derived based on all downlink user data packets, then measurement precision and QoS management accuracy are improved, but computational load and power consumption increase significantly
Solution Approach 1:
The patent segments the downlink user data packets into different groups based on QoS flow identifiers (QFIs). Instead of processing all packets uniformly, the system divides them into multiple QoS flows and selectively processes representative packets from each flow to derive mapping rules, reducing overall computational load while maintaining measurement accuracy.
Solution Approach 2:
The patent extracts only the necessary subset of downlink packets required for RQoS mapping rule derivation. By identifying and processing only representative packets from each QoS flow rather than all packets, the system reduces computational complexity and power consumption while preserving the essential information needed for accurate QoS management.
2Use of energy by moving object
If RQoS mapping rules are derived based on a subset of downlink packets, then power consumption is reduced, but measurement precision and QoS management accuracy may deteriorate
Solution Approach 1:
The patent performs preliminary classification of downlink packets into QoS flows before selecting representative packets for processing. By pre-organizing packets according to their QFI, the system ensures that the selected subset accurately represents all QoS flows, maintaining measurement precision while reducing the total number of packets that need detailed analysis.
Solution Approach 2:
The system implements feedback mechanisms to verify that the selected subset of packets adequately represents all QoS flows. By monitoring QoS flow characteristics and adjusting packet selection accordingly, the system ensures measurement accuracy is maintained even when processing only a subset of total downlink packets.
3Reliability
If extensive computations are performed for RQoS implementation, then QoS management accuracy is improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent segments the complex RQoS processing task into smaller sub-tasks: packet classification by QFI, selection of representative packets, and derivation of mapping rules. This segmentation reduces the complexity of individual processing steps while maintaining overall QoS management accuracy through systematic handling of each QoS flow.
Solution Approach 2:
The patent applies partial action by processing only the necessary subset of packets required for accurate RQoS mapping rule derivation. Instead of performing exhaustive computations on all downlink packets, the system processes enough representative packets to achieve reliable QoS management, reducing processing complexity while maintaining sufficient accuracy.
4Measurement precision
If all downlink packets are processed for RQoS mapping, then mapping rule accuracy is improved, but handover performance and network efficiency deteriorate due to increased latency
Solution Approach 1:
The patent extracts only the essential information from downlink packets needed for RQoS mapping rule derivation. By identifying and processing only representative packets that contain the necessary QoS flow identification information, the system reduces processing time and handover latency while maintaining mapping rule accuracy.
Solution Approach 2:
The patent performs preliminary packet classification and identification of representative packets before handover occurs. By preparing RQoS mapping rules in advance using a selected subset of packets, the system reduces the time required during actual handover operations, improving network efficiency while maintaining rule accuracy.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for implementing reflective quality of service (RQoS) in wireless communication systems. A method for implementing RQoS that may be performed by a user equipment (UE) generally includes receiving a plurality of downlink user data packets from a first base station (BS), determining at least one reflective quality of service (RQoS) mapping rule for one or more uplink packet transmissions based on a subset of the plurality of downlink user data packets, filtering the plurality of downlink user data packets based on the at least one RQoS mapping rule, and forwarding the plurality of downlink user data packets to a corresponding application entity of the UE based on the filtering.