Wireless Flow Frame Compression Logic for Packet Efficiency
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in transmitting sets of frames with common and duplicative bit sequences, leading to increased data sizes and power consumption.
Innovation Solution
The implementation of flow frames, which compress uncompressed frames by removing duplicative bit sequences and appending flow frame fields, allowing for efficient generation, transmission, and decompression of packets using flow compression and decompression rules associated with a flow index.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional wireless communication systems transmit sets of frames with common and duplicative bit sequences, then communication reliability is maintained, but data size increases and power consumption increases
Solution Approach 1:
The patent extracts and removes duplicative bit sequences from frame transmissions by implementing flow-based compression. Common bit sequences are identified and eliminated through flow index assignment, reducing redundant data while maintaining communication reliability.
Solution Approach 2:
Multiple frames with common bit sequences are merged into a single flow frame representation. By combining repetitive elements through flow index assignment, the system transmits only unique portions of data, reducing overall data size and power consumption.
2Loss of energy
If flow compression is applied to reduce MAC header sizes and data traffic, then power consumption decreases, but device complexity increases due to compression and decompression logic
Solution Approach 1:
Compression rules and flow indices are established in advance before data transmission begins. The system pre-defines compression parameters and flow management protocols, allowing devices to execute compression and decompression operations efficiently without complex real-time decision-making logic.
Solution Approach 2:
The system changes parameters such as flow index assignment and compression ratios to optimize the balance between data reduction and processing complexity. By adjusting these parameters dynamically, the system achieves effective compression while keeping device complexity manageable.
3Loss of energy
If flow frames are generated and transmitted to reduce data traffic, then power consumption is lowered, but latency may increase due to compression and decompression processing
Solution Approach 1:
Flow indices and compression parameters are prepared in advance, enabling rapid frame compression and decompression operations. This preliminary preparation reduces processing time during actual data transmission, minimizing latency while maintaining low power consumption.
Solution Approach 2:
The system maintains continuous flow frame generation and transmission without interruption, keeping devices in efficient low-power states. By sustaining useful action continuously rather than through intermittent processing, the system reduces overall latency while maintaining energy efficiency.
Data Source
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AI summary
Logic may compress wireless communications frames and communicate compressed frames that do not include the duplicative bit sequences within the packet flow. Logic may include the compressed frames in flow frames. Logic may generate, encode, transmit, decode, parse, and interpret flow frames after a packet flow is created. Flow frames may comprise a flow frame control field, a compressed frame, and a frame sequence check. Logic may decompress the compressed flow frame based upon flow decompression rules associated with a flow index of the flow frame. Flow frames may include a duration field to set the network allocation vectors of other stations. And the frame sequence check may be generated based upon the entire flow frame.