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Joint computation offloading and content caching for wireless blockchain networks

机译:无线区块链网络的联合计算卸载和内容缓存

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Blockchain is widely deemed as a key enabling technology of current digital currency. However, the application of blockchain to wireless mobile networks is challenged by a computational difficult problem called proof-of-work puzzle. Accordingly, mobile edge computing (MEC) appears to be a promising solution by offloading the computation-intensive mining tasks to nearby edge computing nodes. Meanwhile, caching is also popular due to its capability in handling the ever-increasing Internet traffic. In this paper, we study computation offloading and content caching in wireless blockchain networks with MEC. Specifically, offloading mode selection (offloaded to a nearby access point (AP) or a group of device-to-device (D2D) users) and caching strategy (whether to cache the requested content and computation results or not) are jointly investigated and formulated as an optimization problem. Further, an alternating direction method of multipliers (ADMM) based algorithm is proposed to solve the optimization problem in a distributed way. Finally, the effectiveness of the proposed algorithm is demonstrated by simulation results with different system parameters.
机译:区块链被广泛认为是当前数字货币的关键能够实现技术。然而,Slowtchain对无线移动网络的应用受到称为工作证明难题的计算困难问题的挑战。因此,移动边缘计算(MEC)似乎是通过将计算密集型挖掘任务卸载到附近的Edge计算节点来成为有希望的解决方案。同时,由于其处理不断增加的互联网流量的能力,缓存也很受欢迎。在本文中,我们使用MEC学习无线区块链网络中的计算卸载和内容缓存。具体地,卸载模式选择(卸载到附近的接入点(AP)或一组设备到设备(D2D)用户)和缓存策略(是否缓存所请求的内容和计算结果),并共同调查和制定作为优化问题。此外,提出了基于乘法器(ADMM)的算法的交替方向方法,以解决分布式方式的优化问题。最后,通过模拟结果与不同的系统参数进行仿真结果证明了所提出的算法的有效性。

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