Multiplexing Prioritization in New Radio Control Resource Sets
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing beam management and multiplexing in multicarrier communication systems, particularly in 4G and 5G networks, which affect data transmission efficiency and reliability.
Innovation Solution
Implementing advanced beam management techniques and multiplexing strategies in multicarrier communication systems, utilizing various physical layer modulation mechanisms such as CDMA, OFDMA, TDMA, and hybrid mechanisms, along with modulation schemes like BPSK, QPSK, and QAM, to optimize data transmission and reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple logical channels are multiplexed into a single transport channel, then resource utilization efficiency is improved, but the complexity of channel management and prioritization increases
Solution Approach 1:
The patent segments the channel prioritization process into multiple distinct steps: determining priorities for multiple logical channels, selecting a target logical channel based on these priorities, and then multiplexing. This segmentation makes the complex management process more structured and manageable while maintaining high resource utilization.
Solution Approach 2:
The patent applies preliminary action by determining and establishing priorities for multiple logical channels before the actual multiplexing operation. This pre-establishment of priorities simplifies the subsequent multiplexing decision-making process, reducing the complexity during runtime while improving overall resource allocation efficiency.
2Reliability
If dynamic adaptation of modulation and coding schemes is implemented, then data transmission reliability is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent implements dynamic adaptation of modulation and coding schemes based on real-time transmission requirements and radio conditions. This dynamic approach improves data transmission reliability by optimizing parameters according to current channel conditions, while the structured methodology keeps computational complexity manageable.
Solution Approach 2:
The system uses feedback from transmission requirements and radio conditions to dynamically adjust modulation and coding schemes. This feedback mechanism ensures high reliability by continuously optimizing transmission parameters based on actual channel quality, while avoiding excessive computational complexity through efficient feedback processing.
3Productivity
If advanced beam management techniques are utilized, then system performance is improved, but the complexity of beam configuration and control increases
Solution Approach 1:
The patent applies local quality by configuring beam parameters specifically for each logical channel based on its requirements. This allows optimized beam management for different channels without requiring complex global reconfiguration, improving system performance while managing complexity through localized adjustments.
Data Source
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Figure 2A~2B
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AI summary
A wireless device may receive, via a first control resource set, coreset, with a first coreset group index, downlink control information, DCI, scheduling a physical downlink shared channel, PDSCH, reception. The wireless device may determine a first quasi co-location-TypeD, QCL-TypeD, of the PDSCH reception is different from a second QCL-TypeD of a physical downlink control channel, PDCCH, reception via a second coreset that overlaps in at least one symbol with the PDSCH reception. The wireless device may also determine the first coreset group index is the same as a second coreset group index of the second coreset. Based on the determinations, the wireless device may prioritize the PDCCH reception via the second coreset.