Reliability Modeling for Beyond-5G Mission Critical Networks Using Effective Capacity

TL;DR

This paper introduces a reliability model for beyond-5G URLLC and HRLLC networks using the effective capacity framework, accounting for complex interactions and QoS constraints to optimize system performance.

Contribution

It presents a novel reliability modeling approach that integrates effective capacity with detailed network layer behaviors for ultra-reliable low latency networks.

Findings

Identifies optimal operating conditions satisfying URLLC/HRLLC constraints.

Reveals trade-offs between effective capacity and reliability.

Provides design guidance for next-generation mission-critical networks.

Abstract

Accurate reliability modeling for ultra-reliable low latency communication (URLLC) and hyper-reliable low latency communication (HRLLC) networks is challenging due to the complex interactions between network layers required to meet stringent requirements. In this paper, we propose such a model. We consider the acknowledged mode of the radio link control (RLC) layer, utilizing separate buffers for transmissions and retransmissions, along with the behavior of physical channels. Our approach leverages the effective capacity (EC) framework, which quantifies the maximum constant arrival rate a time-varying wireless channel can support while meeting statistical quality of service (QoS) constraints. We derive a reliability model that incorporates delay violations, various latency components, and multiple transmission attempts. Our method identifies optimal operating conditions that satisfy URLLC/HRLLC constraints while maintaining near-optimal EC, ensuring the system can handle peak traffic with a guaranteed QoS. Our model reveals critical trade-offs between EC and reliability across various use cases, providing guidance for URLLC/HRLLC network design for service providers and system designers.