SDAP QoS Control for Lossless Data Unit Aggregation
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Solution Overview
Problem
Existing communication frameworks lack the capability to provide interruption-free transmission of data units, particularly in scenarios requiring varying quality of service (QoS) levels, such as interactive content delivery across diverse computing platforms.
Innovation Solution
The method involves identifying data units belonging to a set configured according to a heuristic indicating a QoS level, determining metrics for packet reception status, and selectively transmitting data units based on these metrics to ensure compliance with the specified QoS level, thereby ensuring lossless aggregation and transmission of data units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If packet aggregation is performed at the SDAP layer to ensure reliable transmission, then quality of service and transmission reliability are improved, but transmission latency and processing complexity increase
Solution Approach 1:
The patent applies preliminary action by performing packet aggregation at the SDAP layer before transmission occurs. The service layer collects and combines multiple protocol data units into aggregated packets in advance, ensuring that complete data sets are transmitted together. This preliminary aggregation improves reliability by preventing partial transmissions, while the patent manages the latency trade-off through efficient aggregation timing and threshold-based transmission decisions.
2Reliability
If heuristic-based QoS prioritization is implemented to manage different communication types, then quality of service for critical communications is improved, but system complexity increases
Solution Approach 1:
The patent applies local quality by implementing heuristic-based QoS prioritization specifically at the service layer for different communication types. The system assigns different QoS levels to different data flows based on their requirements (e.g., gaming video vs. other traffic), allowing critical communications to receive preferential treatment in terms of aggregation priority and transmission timing. This targeted approach improves QoS for specific applications without requiring complete system redesign.
3Use of energy by moving object
If selective transmission based on QoS parameters is performed to optimize radio utilization, then energy efficiency and radio resource utilization are improved, but transmission completeness may be compromised
Solution Approach 1:
The patent applies dynamics by implementing selective transmission based on QoS parameters and aggregation status. The system dynamically decides whether to transmit aggregated packets or individual PDUs based on current radio conditions, QoS requirements, and aggregation completeness. For high-priority traffic with complete aggregations, the system transmits selectively to save energy. For critical incomplete aggregations, the system ensures transmission to maintain reliability. This dynamic adaptation resolves the contradiction between energy efficiency and transmission completeness.
Data Source
AI summary
Aspects of this technical solution can include identifying, by a wireless communication device, one or more of a plurality of data units corresponding to a set, the set configured according to a heuristic indicating a quality of service (QoS) level corresponding to the set. The wireless communication device can determine one or more metrics indicating respective states of the received plurality of data units. The wireless communication device can select according to the one or more metrics satisfying the heuristic, the set including the plurality of received data units corresponding to the set, from among a plurality of sets each having a corresponding QoS level. The wireless communication device can transmit, according to a set of one or more of the metrics satisfying the heuristic and according to the QoS level corresponding to the set, a set of one or more of the plurality of received data units corresponding to the one or more of the metrics.