Latency Reduction Through Parallel Compression and Transmission in Tactile Internet Applications

Tactile Internet (TI) facilitates virtual immersion in a remote environment by transferring the sense of touch, thereby posing stringent latency requirements. It is challenging to meet those requirements, especially for large data volumes and in the uplink. This work presents a latency reduction scheme for uplink data transmission while ensuring high reliability based on considerations of the timing contribution from both compression and communication. The approach is termed Parallel Compression and Transmission (PCT) and the key idea is to send part of the data uncompressed while simultaneously compressing the remaining data. This is formulated into a non-convex optimization problem that minimizes the latency under a statistical constraint on reliability. The results show that the proposed approach can lead to latency reduction of more than 30% under a reliability level of 99% in the considered setup, outlining the promise of the concept of parallel compression and computation towards latency reduction.

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Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1109/wcnc61545.2025.10978154
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Latency Reduction Through Parallel Compression and Transmission in Tactile Internet Applications

Suraj Suman, Anjali Shaw, Petar Popovski, Sadvik Boddu et al.
Modular Robots and Swarm Intelligence
article

Latency Reduction Through Parallel Compression and Transmission in Tactile Internet Applications

Suraj Suman, Anjali Shaw, Petar Popovski, Sadvik Boddu, Goje Satvik
article en

Abstract

Tactile Internet (TI) facilitates virtual immersion in a remote environment by transferring the sense of touch, thereby posing stringent latency requirements. It is challenging to meet those requirements, especially for large data volumes and in the uplink. This work presents a latency reduction scheme for uplink data transmission while ensuring high reliability based on considerations of the timing contribution from both compression and communication. The approach is termed Parallel Compression and Transmission (PCT) and the key idea is to send part of the data uncompressed while simultaneously compressing the remaining data. This is formulated into a non-convex optimization problem that minimizes the latency under a statistical constraint on reliability. The results show that the proposed approach can lead to latency reduction of more than 30% under a reliability level of 99% in the considered setup, outlining the promise of the concept of parallel compression and computation towards latency reduction.

Indian Institute of Technology Patna (IN), Aalborg University (DK)
Department of Science and Technology, Ministry of Science and Technology, India, Science and Engineering Research Board
Affordable and clean energy
Openalex Percentile: Top 91%
Modular Robots and Swarm Intelligence
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Latency Reduction Through Parallel Compression and Transmission in Tactile Internet Applications — Suraj Suman, Anjali Shaw, et al. · (2025) | TGRS Research Map | TGRS