Enhancing Data Processing Efficiency in Blockchain Enabled Metaverse over Wireless Communications

TL;DR

This paper proposes a novel optimization algorithm to improve data processing efficiency in blockchain-enabled Metaverse wireless systems, addressing resource constraints and enhancing overall performance.

Contribution

Introduction of the DPE-Aware User Association and Resource Allocation (DAUR) algorithm for optimizing data processing in blockchain-powered Metaverse environments.

Findings

DAUR effectively maximizes data processing efficiency.

Numerical results show significant performance improvements.

The algorithm successfully handles joint computing and communication constraints.

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 challenge, 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 optimization framework for blockchain-enabled Metaverse wireless communication systems characterized by joint computing and communication resource constraints. The DAUR algorithm transforms the nonconvex problem of maximizing the sum of DPE ratios into a solvable convex optimization problem. It alternates the optimization of key variables, including 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.