Data Processing Efficiency Aware User Association and Resource Allocation in Blockchain Enabled Metaverse over Wireless Communications

TL;DR

This paper introduces a novel DPE-aware algorithm for user association and resource allocation in blockchain-enabled Metaverse over wireless systems, optimizing data processing efficiency and resource use.

Contribution

It proposes the DAUR algorithm that transforms complex optimization into a convex problem, enhancing data processing efficiency in blockchain-based Metaverse environments.

Findings

DAUR algorithm significantly improves data processing efficiency.

The optimization approach effectively balances resource allocation.

Numerical results validate the algorithm's effectiveness.

Abstract

In the rapidly evolving landscape of the Metaverse, enhanced by blockchain technology, the efficient processing of data has emerged as a critical challenge, especially in wireless communication systems. Addressing this need, our paper introduces the innovative concept of data processing efficiency (DPE), aiming to maximize processed bits per unit of resource consumption in blockchain-empowered Metaverse environments. To achieve this, we propose the DPE-Aware User Association and Resource Allocation (DAUR) algorithm, a tailored solution for these complex systems. The DAUR algorithm transforms the challenging task of optimizing the sum of DPE ratios into a solvable convex optimization problem. It uniquely alternates the optimization of key variables like user association, work offloading ratios, task-specific computing resource distribution, bandwidth allocation, user power usage ratios, and server computing resource allocation ratios. Our extensive numerical results demonstrate the DAUR algorithm's effectiveness in DPE.