User Connection and Resource Allocation Optimization in Blockchain Empowered Metaverse Over 6G Wireless Communications

被引:0
|
作者
Qian, Liangxin [1 ]
Liu, Chang [2 ]
Zhao, Jun [1 ]
机构
[1] Nanyang Technol Univ NTU, Coll Comp & Data Sci CCDS, Singapore 639798, Singapore
[2] Nanyang Technol Univ NTU, Grad Coll, Singapore 639798, Singapore
关键词
Blockchains; Resource management; Metaverse; Servers; Optimization; Computational modeling; Hidden Markov models; blockchain; fractional programming; semidefinite relaxation; resource allocation; trust-cost ratio; MANAGEMENT; DESIGN;
D O I
10.1109/TWC.2024.3401184
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The convergence of blockchain, Metaverse, and non-fungible tokens (NFTs) brings transformative digital opportunities alongside challenges like privacy and resource management. Addressing these, we focus on optimizing user connectivity and resource allocation in an NFT-centric and blockchain-enabled Metaverse in this paper. Through user work-offloading, we optimize data tasks, user connection parameters, and server computing frequency division. In the resource allocation phase, we optimize communication-computation resource distributions, including bandwidth, transmit power, and computing frequency, which are crucial for 6G mobile edge computing and communication environments. We introduce the trust-cost ratio (TCR), a pivotal measure combining trust scores from users' resources and server history with delay and energy costs. This balance ensures sustained user engagement and trust. The DASHF algorithm, central to our approach, encapsulates the Dinkelbach algorithm, alternating optimization, semidefinite relaxation (SDR), the Hungarian method, and a novel fractional programming technique from a recent IEEE JSAC paper. The most challenging part of DASHF is to rewrite an optimization problem as Quadratically Constrained Quadratic Programming (QCQP) via carefully designed transformations, in order to be solved by SDR and the Hungarian algorithm. Extensive simulations validate the DASHF algorithm's efficacy, revealing critical insights for enhancing blockchain-Metaverse applications, especially with NFTs.
引用
收藏
页码:19 / 34
页数:16
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