The paper presents a system model for an uplink JSCC-based communication system, where each device compresses its source data using a JSCC encoder and transmits the encoded symbols to a base station. The base station then decodes the received symbols using a JSCC decoder.
The authors first analyze the relationship between end-to-end latency and task performance, and establish an end-to-end delay model for each device. They then formulate an optimization problem to minimize the maximum end-to-end latency across all devices while ensuring the task performance requirement for each device is met.
The optimization problem is shown to be NP-hard, so the authors transform it into a more tractable form. They derive the closed-form solution for the optimal compression ratio, channel truncation threshold selection, and resource allocation policy. Additionally, a heuristic algorithm with low complexity is proposed to solve the problem.
Simulation results demonstrate that both the proposed optimal algorithm and the heuristic algorithm significantly reduce the end-to-end latency compared to benchmark schemes. The heuristic algorithm achieves nearly the same performance as the optimal solution but with considerably lower computational complexity.
A otro idioma
del contenido fuente
arxiv.org
Ideas clave extraídas de
by Kaiyi Chi,Qi... a las arxiv.org 04-01-2024
https://arxiv.org/pdf/2403.20198.pdfConsultas más profundas