DCI Payload Size Limiting for 5G Blind Decoding Complexity
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Solution Overview
Problem
Modern wireless communications, particularly in 5G networks, face complexity in blind decoding due to multiple DCI payload sizes, which increases processing complexity for user equipment (UE) and limits flexibility in air interface configurations, as UE must monitor multiple payload sizes for different traffic types with varying QoS requirements.
Innovation Solution
The system and method limit the number of DCI payload sizes to four, allowing padding of smaller content to match the allotted size, and use specific payload sizes based on active and initial bandwidth parts, with CRC scrambling and FEC coding, to reduce complexity and enhance flexibility in air interface configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple DCI payload sizes are monitored to support diverse traffic types and QoS requirements, then adaptability is improved, but device complexity increases due to multiple blind decoding operations
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the DCI payload size based on the active bandwidth part configuration. Instead of monitoring multiple fixed payload sizes, the UE determines a single payload size parameter based on the active BWP, thereby reducing blind decoding complexity while maintaining adaptability to different traffic types through BWP switching.
Solution Approach 2:
The patent implements dynamics by making the DCI payload size configurable and adaptable to different bandwidth parts. The system dynamically selects the appropriate payload size based on the active BWP configuration, allowing the UE to adapt to diverse traffic requirements without performing multiple blind decodings for different fixed payload sizes.
2Device complexity
If the number of blind decoding attempts is limited to reduce processing complexity, then device complexity is reduced, but the ability to support multiple DCI formats and payload sizes is compromised
Solution Approach 1:
The patent applies universality by designing a single DCI payload size that can accommodate multiple DCI formats through configurable fields. Instead of requiring separate blind decoding operations for different payload sizes, the system uses a universal payload size structure that can represent different DCI formats, thereby reducing processing complexity while maintaining support for multiple formats.
3Adaptability or versatility
If different DCI payload sizes are used for different purposes (scheduling, control information), then adaptability is improved, but the number of DCI payload sizes increases complexity
Solution Approach 1:
The patent applies parameter changes by configuring the DCI payload size based on the active bandwidth part. Instead of using multiple fixed payload sizes for different DCI functions, the system dynamically adjusts the payload size parameter to match the active BWP configuration, thereby maintaining functional flexibility while reducing the number of payload size variants the UE must monitor.
Data Source
AI summary
Aspects of the present disclosure provide methods, devices and systems that limit a number of DCI payload sizes in order to limit the complexity of processing needed to perform blind decoding of the DCI payload. Various embodiments are provided that limit the number of DCI payload sizes. A base station determines the payload sizes to be used for a given time slot and once generated, transmits the DCI to one or more UEs. The UE is responsible for receiving the DCI and performing blind decoding to decode the information intended for the UE. In some embodiments, limiting the number of payload sizes may result in some DCI content that is smaller than the allotted DCI payload size being padded with zero bits to fill the allotted DCI payload size.


