UE PUSCH Slot Counting Across Multiple Cells and RRC Parameters
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Solution Overview
Problem
Existing wireless communication systems lack flexibility and efficiency in managing multiple cells and component carriers, particularly in the context of New Radio (NR) standards, which are expected to support diverse communication scenarios such as enhanced Mobile BroadBand (eMBB), massive Machine Type Communication (mMTC), and Ultra Reliable and Low Latency Communication (URLLC).
Innovation Solution
The implementation of available slot-based and physical slot counting methods for determining the transmission and reception of Physical Uplink Shared Channel (PUSCH) in multiple slots, based on the number of RRC parameters, enhances the flexibility and efficiency of resource allocation in wireless communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional communication structures are used, then system simplicity is maintained, but communication flexibility and efficiency are limited
Solution Approach 1:
The patent segments the communication structure into multiple cells and component carriers that can be independently managed and configured. Each cell can be assigned specific component carriers, allowing flexible resource allocation without requiring complete system reconfiguration. This segmentation enables improved communication flexibility while maintaining manageable system complexity through modular organization.
Solution Approach 2:
The patent implements dynamic resource allocation where the network can dynamically assign and reassign component carriers to different cells based on traffic conditions and service requirements. This dynamic approach allows the system to adapt to changing communication demands, improving flexibility and efficiency while using automated algorithms to manage the complexity of real-time resource optimization.
2Productivity
If resource allocation is simplified, then system operation is easier, but resource utilization efficiency decreases
Solution Approach 1:
The patent employs preliminary configuration where resource allocation patterns and component carrier assignments are pre-planned and optimized based on historical traffic data and service requirements. This preliminary action allows the system to achieve high resource utilization efficiency without requiring complex real-time decision-making, as much of the resource management is predetermined while still allowing for dynamic adjustments when needed.
Solution Approach 2:
The patent implements feedback mechanisms where the network continuously monitors resource utilization and communication performance, then uses this information to optimize future resource allocations. This feedback-driven approach enables efficient resource utilization by learning from past performance patterns, reducing the need for complex manual intervention while maintaining high productivity through data-driven optimization.
3Reliability
If multiple cells are managed with traditional methods, then system structure is simple, but communication performance is limited
Solution Approach 1:
The patent creates a universal resource management framework that can handle multiple cells, component carriers, and different service types (eMBB, mMTC, URLLC) through a single integrated system. This multi-functional approach improves communication performance across diverse scenarios by providing unified resource allocation and management capabilities, while the standardized framework prevents exponential growth in system complexity despite supporting multiple functions.
Solution Approach 2:
The patent utilizes parameter-based resource allocation where communication resources are managed through configurable parameters such as bandwidth parts, subcarrier spacing, and cyclic prefix lengths. By changing these parameters dynamically, the system can optimize performance for different service requirements and cell conditions without fundamentally altering the system structure, thus improving communication performance while maintaining manageable complexity through parameter tuning rather than structural changes.
Data Source
AI summary
A user equipment (UE) is described. The UE may comprise high-layer processing circuitry configured to acquire one or more RRC parameters each indicating an additional physical cell ID. The UE may also comprise transmission circuitry configured to transmit a PUSCH in multiple slots. The multiple slots may be determined by using either an available slot counting method or a physical slot counting method. Whether the available slot counting method or the physical slot counting method is used may depend on whether the number of the RRC parameters exceed a pre-determined number or not.


