论文标题

区块链函数虚拟化:5G以上的移动网络的新方法

Blockchain Function Virtualization: A New Approach for Mobile Networks Beyond 5G

论文作者

Taskou, Shiva Kazemi, Rasti, Mehdi, Nardelli, Pedro H. J.

论文摘要

第五代(5G)(例如网络切片,频谱共享和联合学习)的许多关键促成技术都依赖集中的权威。这可能会导致安全性或单点故障的陷阱。当前,分布式分类帐技术,特别是区块链,由与物联网(IoT)和5G相关的不同应用程序采用,以解决集中系统的缺点。因此,移动区块链网络(MBN)最近引起了很多关注。要将交易添加到MBN中的区块链中,移动设备或物联网用户必须执行各种任务,例如加密,解密和采矿。这些任务需要能量和处理能力,这对移动和物联网用户的性能施加了限制,因为它们通常是电池供电且处理能力较低的。一种可能的解决方案是在移动边缘计算(MEC)或云计算提供的商品服务器上实际执行任务。为此,在区块链上添加交易所需的所有任务都可以视为可以在商品服务器上执行的虚拟区块链函数。我们引入了一个称为区块链函数虚拟化(BFV)的区块链虚拟化框架,通过该框架,所有区块链函数都可以通过MEC或云计算来实现。此外,我们描述了BFV框架在移动网络中带来的BFV框架和资源分配挑战的应用。此外,为了说明BFV的优势,我们定义了一个优化问题,可以同时最大程度地降低能耗成本并最大化矿工的回报。最后,模拟结果表明,根据总能耗,交易确认率和矿工的平均利润,提议的框架的性能。

Many of the key enabling technologies of the fifth-generation (5G), such as network slicing, spectrum sharing, and federated learning, rely on a centralized authority. This may lead to pitfalls in terms of security or single point of failure. Distributed ledger technology, specifically blockchain, is currently employed by different applications related to the Internet of Things (IoT) and 5G to address the drawbacks of centralized systems. For this reason, mobile blockchain networks (MBNs) have recently attracted a great deal of attention. To add a transaction to the blockchain in MBNs, mobile or IoT users must perform various tasks like encryption, decryption, and mining. These tasks require energy and processing power, which impose limitations on mobile and IoT users' performance because they are usually battery powered and have a low processing power. One possible solution is to perform the tasks virtually on commodity servers provided by mobile edge computing (MEC) or cloud computing. To do so, all tasks needed to add a transaction to the blockchain can be treated as virtual blockchain functions that can be executed on commodity servers. We introduce a blockchain virtualization framework called blockchain function virtualization (BFV), through which all blockchain functions can be performed virtually by MEC or cloud computing. Furthermore, we describe applications of the BFV framework and resource allocation challenges brought by the BFV framework in mobile networks. In addition, to illustrate the advantages of BFV, we define an optimization problem to simultaneously minimize the energy consumption cost and maximize miners' rewards. Finally, simulation results show the performance of the proposed framework in terms of total energy consumption, transaction confirmation rate, and miners' average profit.

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