Wireless Data Transmission Reliability Around Missing Data Units
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Solution Overview
Problem
Existing wireless networks face challenges in maintaining transmission reliability of data units, particularly when expected data units fail to arrive as scheduled, leading to potential survival time violations and consecutive data unit failures.
Innovation Solution
A method and apparatus that determine the expected arrival sequence of data units, identify missing or incorrectly received units, and enhance the transmission reliability of adjacent units by retransmitting preceding units and upgrading the reliability of subsequent units using more reliable radio resources or mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data units are transmitted over the network system using standard reliability mechanisms, then transmission speed and system efficiency are maintained, but transmission reliability deteriorates when data units fail to arrive as expected
Solution Approach 1:
The system performs preliminary actions by retransmitting preceding data units before the current data unit is retransmitted. This proactive approach ensures that if a data unit fails to arrive, adjacent units are already in place to maintain sequence integrity and prevent survival time violations, resolving the contradiction between maintaining reliability and avoiding time loss.
Solution Approach 2:
The system implements beforehand cushioning by upgrading the reliability of subsequent data units through more robust transmission mechanisms before potential failures occur. This preventive measure creates a buffer against future transmission failures, ensuring that even if one unit is lost, the cushioning effect prevents survival time violations while maintaining overall transmission reliability.
2Reliability
If retransmission and reliability upgrading mechanisms are activated for all data units, then transmission reliability is improved, but system complexity and resource consumption increase
Solution Approach 1:
The system applies local quality by selectively upgrading reliability only for data units adjacent to those that failed to arrive as expected, rather than applying uniform high reliability to all units. This targeted approach maintains transmission reliability for critical units while avoiding unnecessary complexity and resource consumption for units that arrived successfully.
Solution Approach 2:
The system implements dynamics by adaptively adjusting transmission reliability based on real-time network conditions and arrival patterns. When data units arrive as expected, standard transmission mechanisms are used; when failures occur, the system dynamically upgrades reliability for adjacent units. This dynamic adaptation resolves the contradiction by matching system complexity to actual needs.
Data Source
AI summary
An apparatus comprising means for: determining at least one expected arrival sequence of one or more expected data units to be transmitted over at least one network system; determining if at least one of the one or more expected data units does not arrive for transmission over the at least one network system as expected; and if it is determined that at least one of the one or more expected data units does not arrive for transmission over the at least one network system as expected, increasing transmission reliability of one or more data units adjacent to at least one expected data unit that has not arrived for transmission over the at least one network system as expected.