Adaptive PDCCH Candidate Configuration for Asymmetric Traffic
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR, face inefficiencies in control channel operations due to a fixed number of PDCCH candidates, leading to unnecessary blind decoding attempts and increased power consumption, especially in asymmetric traffic scenarios where downlink traffic dominates.
Innovation Solution
Adapting the number of downlink and uplink PDCCH candidates based on traffic conditions, allowing for dynamic configuration of PDCCH candidates and templates to optimize decoding efforts, thereby reducing unnecessary blind decoding and increasing data rate by allocating more candidates to the direction with higher traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a fixed number of PDCCH candidates is used for both downlink and uplink, then the control channel configuration is simple and standardized, but unnecessary blind decoding attempts occur in asymmetric traffic scenarios leading to increased power consumption
Solution Approach 1:
The patent applies dynamics by making the number of PDCCH candidates adjustable based on traffic conditions. The configuration changes from static to dynamic, allowing the system to adapt the number of candidates for downlink and uplink separately according to actual traffic asymmetry, thereby reducing unnecessary blind decoding and power consumption while maintaining operational simplicity through standardized adjustment mechanisms
Solution Approach 2:
The patent changes the parameter of PDCCH candidate count from a fixed value to a variable that can be independently adjusted for downlink and uplink directions. This parameter change enables the system to optimize blind decoding attempts according to traffic patterns, reducing power consumption in asymmetric scenarios while maintaining configuration manageability through standardized parameter adjustment procedures
2Productivity
If more PDCCH candidates are allocated to handle asymmetric traffic, then data rate and scheduling efficiency improve, but the complexity of blind decoding operations increases
Solution Approach 1:
The patent applies local quality by allocating different numbers of PDCCH candidates to different directions (downlink and uplink) based on their respective traffic requirements. Instead of uniform allocation, the system provides localized optimization where each direction receives appropriate candidate counts matched to its traffic load, improving data rate for high-traffic directions while avoiding unnecessary decoding complexity in low-traffic directions
Solution Approach 2:
The patent enables dynamic adjustment of PDCCH candidate allocation to match varying traffic conditions. The system can adaptively increase candidates for directions with higher traffic demand to improve data rate, while reducing candidates for low-traffic directions to minimize blind decoding complexity, creating a dynamic balance between productivity and operational complexity
3Productivity
If the number of PDCCH candidates is increased for one direction, then scheduling efficiency for that direction improves, but the overall control resource utilization becomes less efficient
Solution Approach 1:
The patent changes the control resource allocation model by allowing independent parameter adjustment of PDCCH candidate counts for downlink and uplink. This enables the system to optimize scheduling efficiency for each direction according to its traffic needs while preventing waste of control resources in directions with lower traffic demand, achieving efficient resource utilization through differentiated parameter configuration
Solution Approach 2:
The patent applies local quality optimization by tailoring PDCCH candidate allocation to the specific needs of each traffic direction. High-traffic directions receive increased candidate allocation for improved scheduling efficiency, while low-traffic directions receive reduced allocation to prevent resource waste, creating locally optimized resource utilization that improves overall system efficiency
Data Source
AI summary
A user equipment (UE) in communication with a base station may receive downlink control information (DCI) on a physical downlink control channel (PDCCH). The UE may receive a configuration of the PDCCH. The UE may determine a number of downlink PDCCH candidates and a number of uplink PDCCH candidates within a search space based on the configuration, wherein the number of downlink PDCCH candidates is different than the number of uplink PDCCH candidates, and a length of each downlink PDCCH candidate is different than a length of each uplink PDCCH candidate. The UE may blindly decode the search space with each PDCCH candidate as a hypothesis to determine whether any of the downlink PDCCH candidates or uplink PDCCH candidates decode to a DCI format.