Dynamic Network Slice Reliability for Human-Robot Interaction

The patent applies dynamics by transitioning from static reliability provisioning to dynamic reliability configuration. The system continuously monitors operational conditions (such as traffic patterns, network load, and service requirements) and adjusts the reliability level of network slices in real-time. This allows the network to provision high reliability only when and where needed, rather than maintaining it constantly, thereby reducing unnecessary resource consumption while meeting reliability requirements when operational conditions demand it.

The patent applies parameter changes by dynamically adjusting the reliability parameter of network slices based on monitored operational conditions. Instead of fixing the reliability parameter at high levels always, the system modifies this parameter according to actual network state and service requirements. When operational conditions indicate stable network performance, the reliability parameter is reduced, allowing the network to use fewer redundant resources while maintaining acceptable packet delivery success rates.

The patent applies periodic action through continuous monitoring and periodic adjustment of reliability levels. The system operates in cycles of monitoring operational conditions, evaluating whether high reliability is currently needed, and adjusting network slice configurations accordingly. This periodic evaluation allows the network to maintain high reliability during critical periods when operational conditions require it, while reducing reliability provisioning during normal periods, thereby lowering overall deployment costs.