Task-Oriented Prediction and Communication Co-Design for Haptic
Communications
- URL: http://arxiv.org/abs/2302.11064v1
- Date: Tue, 21 Feb 2023 23:39:37 GMT
- Title: Task-Oriented Prediction and Communication Co-Design for Haptic
Communications
- Authors: Burak Kizilkaya, Changyang She, Guodong Zhao, Muhammad Ali Imran
- Abstract summary: We propose a task-oriented prediction and communication co-design framework for haptic communications.
The proposed framework can reduce wireless resource consumption up to 77.80% compared with a task-agnostic benchmark.
- Score: 20.20316445430853
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Prediction has recently been considered as a promising approach to meet
low-latency and high-reliability requirements in long-distance haptic
communications. However, most of the existing methods did not take features of
tasks and the relationship between prediction and communication into account.
In this paper, we propose a task-oriented prediction and communication
co-design framework, where the reliability of the system depends on prediction
errors and packet losses in communications. The goal is to minimize the
required radio resources subject to the low-latency and high-reliability
requirements of various tasks. Specifically, we consider the just noticeable
difference (JND) as a performance metric for the haptic communication system.
We collect experiment data from a real-world teleoperation testbed and use
time-series generative adversarial networks (TimeGAN) to generate a large
amount of synthetic data. This allows us to obtain the relationship between the
JND threshold, prediction horizon, and the overall reliability including
communication reliability and prediction reliability. We take 5G New Radio as
an example to demonstrate the proposed framework and optimize bandwidth
allocation and data rates of devices. Our numerical and experimental results
show that the proposed framework can reduce wireless resource consumption up to
77.80% compared with a task-agnostic benchmark.
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