Wireless Data Priority Processing for Out-of-Order Transmissions
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in processing data transmissions due to limitations in handling out-of-order and overlapping data processing, leading to increased latency, misalignment between base stations and wireless devices, and higher overhead/retransmissions.
Innovation Solution
Implementing a system where wireless devices can process data based on different resource groups and priority indications, allowing for out-of-order and overlapping data transmissions, thereby improving channel processing efficiencies and reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless devices process data transmissions in traditional order, then processing simplicity is maintained, but system throughput and channel processing efficiency deteriorate
Solution Approach 1:
The patent segments data transmissions into different resource groups (first resource group, second resource group, etc.) with distinct processing characteristics. Each resource group can be processed independently with different ordering requirements, enabling the wireless device to handle multiple data streams simultaneously without complete processing complexity, thus improving system throughput while managing device complexity through structured organization.
Solution Approach 2:
The patent introduces dynamic processing modes where the wireless device can adaptively determine whether to process data in-order or out-of-order based on resource group configuration and channel conditions. This dynamic approach allows the system to optimize throughput by selecting appropriate processing modes for different scenarios, balancing between processing simplicity and efficiency without requiring permanent complex processing capabilities.
2Loss of time
If wireless devices use traditional data processing methods, then processing simplicity is maintained, but latency and misalignment increase
Solution Approach 1:
The patent implements preliminary configuration of resource groups with predefined processing characteristics and priority indications before data transmission occurs. The base station configures the wireless device with resource group settings that specify processing order requirements and timing parameters in advance, enabling the wireless device to process data with reduced latency by following pre-established protocols rather than determining processing parameters in real-time, thus reducing latency without proportionally increasing processing complexity.
Solution Approach 2:
The patent incorporates feedback mechanisms where the wireless device reports processing status and timing information back to the base station. This feedback loop enables the base station to adjust resource allocation and processing parameters dynamically, ensuring data is processed with minimal latency by coordinating transmit and receive timing, while the feedback mechanism itself is integrated into existing communication protocols to avoid excessive complexity.
3Reliability
If wireless devices process all data transmissions, then data completeness is maintained, but overhead and retransmissions increase
Solution Approach 1:
The patent extracts and separates critical data transmissions that require guaranteed delivery and processing into specific resource groups with priority indications. By identifying and isolating these critical data streams, the system can apply enhanced processing and reliability mechanisms only where necessary, rather than processing all data transmissions uniformly. This extraction approach maintains reliability for essential data while reducing overall overhead and energy consumption associated with processing and retransmitting all data.
Solution Approach 2:
The patent changes processing parameters such as error checking thresholds, retransmission triggers, and priority levels based on resource group configuration and data characteristics. By adjusting these parameters dynamically for different resource groups, the system can optimize reliability for critical data while reducing unnecessary processing and retransmissions for less critical data, thereby maintaining essential reliability without proportionally increasing energy consumption and overhead.
Data Source
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Figure 3
AI summary
Wireless communications may be used to support data processing. Data processing may be performed based on a priority indication (or lack thereof) in a message for processing data. At least one parameter may be used to determine a priority associated with data processing if a message does not comprise a priority indication.