Wireless Transmission Rate Calibration via MCS Probing
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Solution Overview
Problem
In long-range land-to-sea wireless communication systems using VTS-TDMA and ARQ error-control mechanisms, non-optimal link adaptation leads to suboptimal throughput, causing service quality issues and unnecessary data-path switching between LRLS and VSAT networks, resulting in unpredictable channel quality and poor Quality of Experience due to 'flapping' effects.
Innovation Solution
A method and system for adapting transmission rate between CPE and BTS by sending probe packets at various MCSs, determining successful reception percentages, and adjusting MCS based on static and ARQ retransmit percentage thresholds to optimize throughput and minimize satellite network usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If non-optimal link adaptation is used, then device complexity is reduced, but throughput and service quality deteriorate
Solution Approach 1:
The system performs preliminary actions by sending probe packets at different MCS levels before actual data transmission. The transmitter sends probe packets at multiple MCS levels (e.g., MCS-0 to MCS-15) and collects feedback on successful reception percentages. Based on this preliminary testing, the system determines the optimal MCS for subsequent data transmission, avoiding trial-and-error during actual communication and improving throughput while maintaining manageable complexity.
Solution Approach 2:
The system implements feedback mechanisms where the receiver sends link adaptation statistic packets containing information about successful probe packet reception at different MCS levels. The transmitter uses this feedback to determine the optimal MCS for data transmission. This feedback loop enables adaptive optimization of throughput based on actual channel conditions without requiring complex predictive models.
2Measurement precision
If link adaptation uses SIR metric with infinite retransmission ARQ, then measurement precision is improved, but computational difficulty increases
Solution Approach 1:
The system uses probe packets as disposable test objects to measure channel quality. Instead of implementing complex infinite retransmission ARQ protocols with SIR calculations, the system sends a limited number of probe packets at different MCS levels and discards them after collecting feedback. This approach provides sufficient measurement precision for link adaptation while avoiding the computational complexity of infinite retransmission modeling.
3Adaptability or versatility
If data-path switching between LRLS and VSAT is implemented, then adaptability is improved, but system stability deteriorates due to flapping effect
Solution Approach 1:
The system performs preliminary link quality assessment using probe packets before triggering data-path switching between LRLS and VSAT networks. By evaluating channel conditions in advance through MCS probing and feedback analysis, the system can make more stable switching decisions and avoid frequent ping-pong effects. This preliminary assessment ensures that switching occurs only when genuinely necessary, improving overall system stability while maintaining adaptability.
Data Source
AI summary
A method, device, and system for calibrating and adapting transmission rate in wireless communication is disclosed. The method includes sending, based on a static Module and Coding Schemes (MCS) probe table, a plurality of probe packets at each of a set of probe MCSs associated with a current MCS. The static MCS probe table includes a plurality of MCSs and a set of probe MCSs associated with each of the plurality of MCSs. The method further includes determining percentage of probe packets successfully received by a receiver for each of the set of probe MCSs associated with the current MCS, based on a link adaptation statistic packet received from the receiver. The method includes identifying an MCS from the set of probe MCSs for subsequent transmissions based on the determined percentage.