AI-Enabled ARQ Parameter Adaptation for RLC Latency Control
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in automatic repeat request (ARQ) procedures due to excessive losses in unacknowledged mode (UM) RLC entities and increased latency in acknowledged mode (AM) RLC entities, leading to radio link failures (RLF) and suboptimal resource utilization.
Innovation Solution
Implementing an artificial intelligence (AI)-enabled learning model to dynamically adjust parameters for processing protocol data units (PDUs) in RLC entities, enabling efficient discarding, retransmitting, and decoding based on quality of service requirements and congestion levels, thereby reducing latency and improving resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional ARQ procedures are used in wireless communication systems, then the system maintains basic reliability for data transmission, but excessive losses occur in unacknowledged mode (UM) RLC entities and increased latency occurs in acknowledged mode (AM) RLC entities
Solution Approach 1:
The patent applies dynamics by making the ARQ parameter configuration adaptive rather than static. The network entity dynamically configures ARQ parameters based on current network conditions, traffic characteristics, and service requirements. This allows the system to optimize between reliability and latency by adjusting parameters like retransmission thresholds and timing based on real-time conditions, resolving the contradiction between maintaining reliability and reducing transmission latency.
Solution Approach 2:
The patent implements parameter changes by introducing configurable ARQ parameters that can be adjusted based on different operating conditions. The network entity can modify parameters such as maximum retransmission attempts, retransmission timing, and parameter selection based on traffic type and network state. This enables the system to adapt parameter values to optimize performance, reducing latency when possible while maintaining reliability when necessary.
2Quantity of substance
If traditional ARQ procedures are used in wireless communication systems, then the system maintains basic resource allocation, but suboptimal resource utilization occurs due to excessive losses and retransmissions
Solution Approach 1:
The patent applies feedback by implementing a configuration mechanism where the network entity receives feedback about transmission outcomes and network conditions, then uses this information to optimize ARQ parameter configurations. The system monitors transmission performance and adjusts parameters accordingly, enabling better resource utilization by reducing unnecessary retransmissions and optimizing resource allocation based on actual network state rather than fixed configurations.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. A wireless device may receive a configuration including a first set of one or more parameters for an automatic repeat request (ARQ) procedure associated with a radio link control (RLC) entity of the wireless device. At least one parameter of the first set of one or more parameters is associated with a plurality of values. The wireless device may select a value of the plurality of values for the ARQ procedure based on a second set of one or more parameters. The wireless device may receive at least one negative acknowledgment (NACK) for at least one protocol data unit (PDU) of a set of one or more PDUs, and perform one or more operations based on the at least one NACK and the selected value of the plurality of values for the ARQ procedure.