Uplink Resource Determination for Multi-TRP Acknowledgement Feedback
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Solution Overview
Problem
Current mobile communication networks face challenges in efficiently managing and optimizing communication protocols across multiple technologies and releases, particularly in 5G networks, leading to suboptimal performance and resource utilization due to outdated base station configurations and lack of adaptive bandwidth management.
Innovation Solution
The implementation of advanced protocol stacks and adaptive bandwidth management techniques within the New Radio (NR) framework, allowing for dynamic configuration of bandwidth parts and carrier aggregation, enables efficient communication across a mix of wireless devices with varying capabilities and technologies, optimizing resource allocation and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic bandwidth management and adaptive protocol selection are implemented, then network efficiency and resource utilization improve, but base station configuration complexity increases
Solution Approach 1:
The base station dynamically selects protocols and configures bandwidth parts based on real-time traffic conditions and device capabilities rather than using fixed configurations. The system adapts its operational parameters dynamically to optimize performance while managing complexity through automated decision-making.
Solution Approach 2:
The system changes operational parameters such as bandwidth part configuration, protocol selection, and resource allocation based on measured traffic conditions and device capabilities. This parameter adaptation allows the base station to optimize network efficiency without requiring complex manual reconfiguration.
2Adaptability or versatility
If multiple protocols and releases are supported simultaneously, then device compatibility improves, but protocol management complexity increases
Solution Approach 1:
The base station is designed to support multiple protocols and releases simultaneously, making it universally compatible with diverse wireless devices. The system integrates multiple protocol stacks and configuration options within a unified management framework that handles compatibility automatically.
Solution Approach 2:
The system uses capability information reported by devices and traffic condition measurements to automatically select the most appropriate protocol. This feedback-driven approach eliminates the need for complex manual protocol management while ensuring optimal compatibility and performance.
3Device complexity
If outdated base station configurations are used, then system simplicity is maintained, but resource utilization performance deteriorates
Solution Approach 1:
The base station performs self-configuration and self-optimization by automatically selecting protocols and adjusting bandwidth parts based on real-time conditions. This self-service capability maintains operational simplicity while significantly improving resource utilization performance compared to static outdated configurations.
Data Source
AI summary
A wireless device may receive, via a first control resource set (coreset) of a cell, a first downlink control information (DCI) indicating transmission of a first acknowledgement feedback. The first coreset may be associated with a first coreset pool index and a first physical cell index (PCI). The wireless device may receive, via a second coreset of the cell, a second DCI indicating transmission of a second acknowledgement feedback. The second coreset may be associated with a second coreset pool index and a second PCI. In response to the second coreset pool index being the same as the first coreset pool index, the wireless device may index the first DCI and the second DCI in a set that is ordered based on the first PCI and the second PCI. The wireless device may transmit, via a physical uplink control channel (PUCCH) resource indicated by a last DCI in the set, the first acknowledgement feedback and the second acknowledgement feedback.