User Equipment Soft Buffer Management for Wireless Decoding
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Solution Overview
Problem
In wireless communication systems, user equipment (UE) often faces challenges with soft buffer memory management, particularly when decoding downlink data transmissions is unsuccessful, leading to suboptimal link adaptation and performance due to insufficient soft buffer capacity.
Innovation Solution
The proposed solution involves an apparatus and method where the UE determines unsuccessful decoding of downlink data transmissions, extracts soft buffer information, and provides this information to the network node. Based on this information, the network node adjusts the scheduling for further downlink data transmissions, allowing the UE to manage its soft buffer memory more effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE stores soft bits for downlink HARQ processes, then decoding performance is improved, but soft buffer memory capacity is consumed
Solution Approach 1:
The UE reports soft buffer status information to the network node, enabling the network to adapt scheduling decisions based on the UE's actual soft buffer capacity. This feedback mechanism allows the system to dynamically balance between storing soft bits for decoding performance and preserving buffer capacity for future transmissions.
Solution Approach 2:
The system transitions from static soft buffer allocation to dynamic adaptation. The network node adjusts scheduling parameters, HARQ process configurations, and resource allocation based on real-time soft buffer status reports from the UE, allowing flexible optimization of memory usage versus decoding performance.
2Productivity
If the network schedules more downlink data transmissions, then productivity is improved, but soft buffer memory becomes insufficient
Solution Approach 1:
The UE provides periodic or event-triggered soft buffer status reports to the network node. Based on this feedback, the network dynamically adjusts the scheduling rate and volume of downlink transmissions to match the UE's available soft buffer capacity, preventing buffer overflow while maximizing throughput.
Solution Approach 2:
The network modifies scheduling parameters such as transmission frequency, resource block allocation, and modulation and coding schemes based on the reported soft buffer status. When buffer capacity is low, the network reduces scheduling intensity; when capacity is available, it increases throughput.
3Measurement precision
If the UE reports soft buffer information frequently, then link adaptation accuracy is improved, but uplink signaling overhead increases
Solution Approach 1:
Instead of continuous reporting, the UE employs partial reporting strategies such as reporting only when soft buffer status changes significantly, or using threshold-based triggering. This reduces signaling overhead while maintaining sufficient accuracy for link adaptation decisions.
Solution Approach 2:
The soft buffer status information is multiplexed with existing uplink control channels such as HARQ-ACK feedback or scheduled uplink transmissions. This allows the soft buffer status to be conveyed using already-allocated uplink resources, minimizing additional signaling overhead.
Data Source
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AI summary
There is provided an apparatus comprising means for receiving at least one downlink data transmission at a user equipment from a network node, means for determining that decoding of the at least one downlink data transmission at the user equipment is unsuccessful, means for determining, based on the determining that decoding of the at least one downlink data transmission at the user equipment is unsuccessful and at least in part on the downlink data transmission, soft buffer information, means for providing, from the user equipment to the network node, the soft buffer information and means for receiving scheduling for a further downlink data transmission, wherein the scheduling for the further downlink data transmission is dependent on the provided soft buffer information.