Wireless Communication Device Timeout Occurrence Rate MCS Selection
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Solution Overview
Problem
Wireless communication devices experience frame losses during the process of searching for a suitable modulation and coding scheme (MCS) after initiating communication, leading to inefficiencies in data transmission.
Innovation Solution
A wireless communication device calculates the timeout occurrence rate based on transmission success probability and attempt count, selecting an MCS with a low timeout occurrence rate for communication, thereby reducing frame losses by establishing a suitable modulation and coding scheme before initiating normal communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the wireless communication device changes the MCS value after starting normal communication to search for a suitable scheme, then the communication can be adapted to different conditions, but frame losses occur during the searching process
Solution Approach 1:
The patent applies preliminary action by calculating the timeout occurrence rate before selecting the MCS value. The device performs timeout occurrence rate calculations for multiple candidate MCS values in advance, then selects the optimal MCS based on these pre-calculated metrics. This prevents frame losses during the searching process because the selection is made beforehand based on predicted performance rather than trial-and-error after communication starts.
2Reliability
If the wireless communication device calculates timeout occurrence rate for multiple MCS values and selects the optimal one, then frame losses are reduced, but the calculation and selection process increases device complexity
Solution Approach 1:
The patent applies parameter changes by using the timeout occurrence rate as a key parameter to evaluate and compare different MCS values. Instead of using complex multi-dimensional optimization, the device calculates a single timeout occurrence rate parameter for each candidate MCS value based on transmission success probability and retransmission counts. This simplifies the selection process while maintaining reliability by focusing on the critical parameter that directly impacts frame loss.
Data Source
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AI summary
A transmission success probability calculator (114) calculates a transmission success probability that is a probability of receiving an ACK frame from another wireless communication device during a preset first reference period after transmission of an inspection frame, the inspection frame being transmitted multiple times to another wireless communication device. A transmission attempt possible count calculator (115) calculates a transmission attempt possible count of the inspection frame during a second reference period. A timeout occurrence rate calculator (116) calculates, from the transmission success probability and the transmission attempt possible count, a timeout occurrence rate that is a probability of not receiving the ACK frame from the wireless communication device even through the inspection frame is repeatedly transmitted by the transmission attempt possible count within the second reference period. A selector (117) selects an MCS to use in communication with the other wireless communication device in accordance with whether the timeout occurrence rate is less than or equal to a preset occurrence rate threshold.