Apple inc. (20240357415). SMART MAC DOWNLINK TRANSPORT BLOCK HANDLING simplified abstract
Contents
SMART MAC DOWNLINK TRANSPORT BLOCK HANDLING
Organization Name
Inventor(s)
Vinay Rajkumar Patil of San Jose CA (US)
Amit Dubey of San Diego CA (US)
Darshan Bharat Ashar of Cupertino CA (US)
Vijay Venkataraman of San Jose CA (US)
SMART MAC DOWNLINK TRANSPORT BLOCK HANDLING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240357415 titled 'SMART MAC DOWNLINK TRANSPORT BLOCK HANDLING
Simplified Explanation: The patent application describes techniques for adaptively handling transport blocks based on memory backpressure conditions in a user equipment (UE) system.
- The UE monitors memory backpressure associated with an application processor.
- The UE may choose to only decode transport blocks with certain prioritized data types based on the memory backpressure.
- Low priority transport blocks may be dropped to alleviate memory backpressure and allow the application processor to process piled up blocks.
- This frees up memory in the baseband processor, enabling the UE to handle high priority blocks for essential functions in high memory backpressure scenarios.
Key Features and Innovation:
- Adaptive handling of transport blocks based on memory backpressure conditions.
- Prioritization of transport blocks for decoding based on data types.
- Dropping low priority transport blocks to alleviate memory backpressure.
- Efficient utilization of memory resources in the UE system.
Potential Applications:
- Mobile communication systems.
- Wireless networks.
- Internet of Things (IoT) devices.
- Real-time data processing applications.
Problems Solved:
- Addressing memory backpressure in UE systems.
- Efficient management of transport blocks in high load scenarios.
- Optimizing resource allocation for essential functions.
Benefits:
- Improved system performance.
- Reduced memory backpressure.
- Enhanced reliability of data processing.
- Efficient utilization of memory resources.
Commercial Applications: The technology can be applied in mobile communication devices, IoT systems, and other wireless networks to optimize memory usage and improve overall system performance.
Prior Art: Readers can explore prior research on memory backpressure management in wireless communication systems and adaptive resource allocation in UE devices.
Frequently Updated Research: Stay updated on advancements in memory management techniques in wireless communication systems and adaptive resource allocation strategies in UE devices.
Questions about Adaptive Handling of Transport Blocks: 1. How does the UE determine which transport blocks to decode based on memory backpressure? 2. What are the potential implications of dropping low priority transport blocks in high memory backpressure scenarios?
Original Abstract Submitted
techniques described herein include solutions for adaptively handling transport blocks (tbs) based on current memory backpressure conditions. in some aspects, a user equipment (ue) monitors a memory backpressure associated with an application processor of the ue. a baseband processor of the ue may receive a plurality of tbs (e.g., from a base station). based on the memory backpressure, the ue may choose to only decode tbs having certain prioritized data types, and drop or ignore the remaining tbs. for example, the ue may drop certain low priority tbs destined for the application processor, which alleviates the memory backpressure by allowing the application processor to process piled up tbs causing the memory backpressure. in addition, this frees memory in the baseband processor, allowing the ue to handle high priority tbs used for essential functions (e.g., connection and synchronization with the network) in high memory backpressure scenarios.
