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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分载和内容缓存

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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支持技术。然而,区块链在无线移动网络中的应用受到称为工作量证明难题的计算难题的挑战。因此,通过将计算密集型挖掘任务卸载到附近的边缘计算节点,移动边缘计算(MEC)似乎是一个有前途的解决方案。同时,由于高速缓存具有处理不断增长的Internet流量的能力,因此也很受欢迎。在本文中,我们使用MEC研究无线区块链网络中的计算分载和内容缓存。具体来说,共同研究和制定卸载模式选择(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(是否缓存请求的内容和计算结果)作为优化问题。此外,提出了一种基于乘法器交替方向算法(ADMM),以分布式方式解决优化问题。最后,通过不同系统参数的仿真结果证明了该算法的有效性。

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