Discrete Mode Decomposition Meets Shapley Value: Robust Signal Prediction in Tactile Internet

TL;DR

This paper introduces a novel predictive framework combining Discrete Mode Decomposition and Shapley Mode Value with Transformer models to enhance haptic signal prediction in Tactile Internet, achieving high accuracy and low latency under challenging network conditions.

Contribution

It proposes a new integration of DMD and SMV for efficient, interpretable, and accurate haptic signal prediction, addressing latency and reliability issues in Tactile Internet.

Findings

Achieves 98.9% accuracy for 1-sample prediction

Attains 92.5% accuracy for 100-sample prediction

Extremely low inference latency of 0.056 ms and 2 ms

Abstract

Tactile Internet (TI) requires ultra-low latency and high reliability to ensure stability and transparency in touch-enabled teleoperation. However, variable delays and packet loss present significant challenges to maintaining immersive haptic communication. To address this, we propose a predictive framework that integrates Discrete Mode Decomposition (DMD) with Shapley Mode Value (SMV) for accurate and timely haptic signal prediction. DMD decomposes haptic signals into interpretable intrinsic modes, while SMV evaluates each mode's contribution to prediction accuracy, which is well-aligned with the goal-oriented semantic communication. Integrating SMV with DMD further accelerates inference, enabling efficient communication and smooth teleoperation even under adverse network conditions. Extensive experiments show that DMD+SMV, combined with a Transformer architecture, outperforms baseline methods significantly. It achieves 98.9% accuracy for 1-sample prediction and 92.5% for 100-sample prediction, as well as extremely low inference latency: 0.056 ms and 2 ms, respectively. These results demonstrate that the proposed framework has strong potential to ease the stringent latency and reliability requirements of TI without compromising performance, highlighting its feasibility for real-world deployment in TI systems.