RIC-Based URLLC Resource Policy Selection
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Solution Overview
Problem
In 5G systems, achieving ultra-high reliability and extremely low latency for Ultra-Reliable Low-Latency Communications (URLLC) is challenging due to the conflicting requirements of high network reliability and low latency, which are typically traded off against each other, and other factors such as the number of antennas and available bandwidth need to be monitored and evaluated.
Innovation Solution
The system dynamically selects from different resource management policies, including time, bandwidth, and retransmission with frequency hopping policies, based on network conditions like available bandwidth and transmission delay, to optimize resource allocation for URLLC services in Radio Access Networks (RANs) by using a RAN Intelligent Controller (RIC) system that adapts resource management policies to meet both reliability and latency requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If more network resources (re-transmission and redundancy) are used to improve reliability, then reliability is improved, but latency increases
Solution Approach 1:
The system dynamically adjusts resource management policies based on real-time network conditions. The RAN Intelligent Controller monitors current network state and selects appropriate policies (e.g., retransmission policies, redundancy levels, antenna configurations) to adaptively balance reliability and latency requirements for URLLC services.
Solution Approach 2:
The system changes key transmission parameters such as retransmission attempts, redundancy levels, antenna numbers, and bandwidth allocation based on monitored network conditions. By adjusting these parameters dynamically, the system optimizes the trade-off between reliability and latency for different URLLC service requirements.
2Loss of time
If packets are transmitted with short frame structure without redundancy to minimize latency, then latency is reduced, but reliability degrades
Solution Approach 1:
The system dynamically switches between different transmission modes (short frame structure vs. redundant transmission) based on real-time network conditions and service requirements. The RAN Intelligent Controller selects policies that adjust frame structure and redundancy levels to meet both latency and reliability targets.
Solution Approach 2:
The system adjusts transmission parameters including frame structure length, redundancy levels, and retransmission attempts based on monitored network conditions. This allows optimization of the latency-reliability trade-off by changing these parameters according to current network state.
3Reliability
If dynamic policy selection is implemented to balance latency and reliability, then both requirements can be met, but system complexity increases
Solution Approach 1:
The RAN Intelligent Controller acts as an intermediary that centralizes the complexity of dynamic policy selection. It monitors network conditions and makes policy decisions, thereby managing the complexity of balancing latency and reliability requirements without burdening the core network or user equipment.
Solution Approach 2:
The system implements feedback mechanisms where the RAN Intelligent Controller continuously monitors network conditions (bandwidth, latency, reliability metrics) and adjusts resource management policies accordingly. This feedback loop enables automatic adaptation to changing conditions while maintaining manageable system complexity through centralized control.
Data Source
AI summary
Systems and methods described herein provide optimized resource management to meet Ultra-Reliable Low-Latency Communications (URLLC) service requirements in Radio Access Networks (RANs), such as Fifth Generation New Radio (5G-NR) RANs. A network device stores resource management policy options for implementing communication sessions for a URLLC service level and determines that the URLLC service level is required for a communication session requested by a user equipment (UE) device. The network device selects one of the resource management policy options for the communication session based on a number of antennas used by an access station supporting the communication session and one of: an estimated available bandwidth for the access station or a transmission delay for processing a packet in the communication session. The network device sends, to the access station, the selected one of the different resource management policy options.