Multi-Link R-TWT Control for QoS-Aware Wireless Scheduling
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Solution Overview
Problem
Existing wireless communication systems struggle to efficiently manage multiple links and dynamically configure restricted target wake times (R-TWT) based on varying Quality of Service (QoS) requirements for different types of services in electronic devices, leading to suboptimal performance and interference.
Innovation Solution
An electronic device with a wireless communication module and processor that dynamically configures R-TWT service periods based on QoS requirements for each type of service, allowing it to determine and utilize multiple links for optimal data transmission and reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple links are used for data transmission, then data transmission efficiency is improved, but link management complexity increases
Solution Approach 1:
The system segments the wireless communication into multiple independent links, each capable of carrying different types of traffic. By dividing the communication channels into separate links with dedicated R-TWT service periods, the system manages complexity through structured segmentation while maintaining high overall transmission efficiency.
Solution Approach 2:
The R-TWT service period is dynamically configured based on QoS requirements and traffic conditions. The system can adjust the service period parameters (such as target wake time, service period duration, and interval) in real-time to optimize link utilization while adapting to changing network conditions, thereby managing complexity dynamically rather than through static configuration.
2Reliability
If R-TWT service period is dynamically configured for each link, then QoS requirement is satisfied, but control complexity increases
Solution Approach 1:
Each link is configured with specific R-TWT service period parameters tailored to its local QoS requirements. Different links can have different service period durations, intervals, and wake times optimized for their specific traffic types (e.g., latency-sensitive vs. throughput-oriented), allowing localized optimization without requiring complex global control mechanisms.
Solution Approach 2:
The system changes key parameters of the R-TWT service period (such as target wake time, service period duration, and interval) dynamically based on QoS requirements and traffic conditions. This parameter-based control approach allows flexible QoS satisfaction while maintaining relatively simple control logic through standardized parameter adjustments rather than complex control algorithms.
3Object-affected harmful factors
If link determination is based on beacon signal, then interference from other devices is reduced, but signal processing time increases
Solution Approach 1:
The system performs preliminary actions by configuring R-TWT service periods in advance based on predicted QoS requirements and traffic patterns. Beacon signals carry pre-configured R-TWT service period information that allows devices to determine appropriate links before actual data transmission begins, reducing both interference and real-time processing requirements.
Data Source
AI summary
An electronic device according to an embodiment of the present disclosure includes: at least one wireless communication module configured to transmit and receive a wireless signal; at least one processor operatively connected to the wireless communication module; and a memory electrically connected to the processor and including instructions executable by the processor. When the instructions are executed by the processor, the processor may be configured to: receive at least one beacon signal including restricted target wake time (R-TWT) service period (SP) information of each link included in multiple links; determine at least one link from among the multiple links based on the beacon signal; and transmit and receive data based on the at least one link. Other embodiments, in addition to the foregoing embodiment, are also applicable.