Enabling Edge Cooperation in Tactile Internet via 3C Resource Sharing

TL;DR

This paper introduces a comprehensive 3C resource sharing framework for tactile internet edge devices, significantly improving energy efficiency through device cooperation, and demonstrates substantial energy savings over existing models.

Contribution

The paper proposes a general 3C resource sharing framework that extends beyond existing 1C/2C models, with a focus on energy consumption minimization and an efficient heuristic solution.

Findings

3C sharing reduces energy consumption by up to 83.8%.

The heuristic algorithm achieves near-optimal energy savings.

3C framework offers greater flexibility and resource utilization efficiency.

Abstract

Tactile Internet often requires (i) the ultra-reliable and ultra-responsive network connection and (ii) the proactive and intelligent actuation at edge devices. A promising approach to address these two requirements is to enable mobile edge devices to share their communication, computation, and caching (3C) resources via device-to-device (D2D) connections. In this paper, we propose a general 3C resource sharing framework, which includes many existing 1C/2C sharing models in the literature as special cases. Comparing with 1C/2C models, the proposed 3C framework can further improve the resource utilization efficiency by offering more flexibilities in the device cooperation and resource scheduling. As a typical example, we focus on the energy utilization under the proposed 3C framework. Specifically, we formulate an energy consumption minimization problem under the 3C framework, which is an integer non-convex optimization problem. To solve the problem, we first transform it into an equivalent integer linear programming problem that is much easier to solve. Then, we propose a heuristic algorithm based on linear programming, which can further reduce the computation time and produce a result that is empirically close to the optimal solution. Moreover, we evaluate the energy reduction due to the 3C sharing both analytically and numerically. Numerical results show that, comparing with the existing 1C/2C approaches, the proposed 3C sharing framework can reduce the total energy consumption by 83.8% when the D2D energy is negligible. The energy reduction is still 27.5% when the D2D transmission energy per unit time is twice as large as the cellular transmission energy per unit time.