Joint Power and Blocklength Optimization for URLLC in a Factory Automation Scenario
Hong Ren, Cunhua Pan, Yansha Deng, Maged Elkashlan, and Arumugam, Nallanathan

TL;DR
This paper investigates joint power and blocklength optimization for ultra-reliable low-latency communication in factory automation, comparing multiple transmission schemes and proposing low-complexity algorithms to enhance performance.
Contribution
It introduces a comprehensive optimization framework for various transmission schemes in URLLC, including novel low-complexity algorithms and analysis of scheme performance in factory scenarios.
Findings
Relay-assisted transmission outperforms OMA.
NOMA performs well with very limited blocklength.
Relay-assisted scheme has larger feasible region than C-NOMA.
Abstract
In URLLC, short packet transmission is adopted to reduce latency, such that conventional Shannon's capacity formula is no longer applicable, and the achievable data rate in finite blocklength becomes a complex expression with respect to the decoding error probability and the blocklength. To provide URLLC service in a factory automation scenario, we consider that the central controller transmits different packets to a robot and an actuator, where the actuator is located far from the controller, and the robot can move between the controller and the actuator. In this scenario, we consider four fundamental downlink transmission schemes, including orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA), relay-assisted, and cooperative NOMA (C-NOMA) schemes. For all these transmission schemes, we aim for jointly optimizing the blocklength and power allocation to minimize the…
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