Abstract
Blockchain technology has been widely used in many fields. However, the proof of work (PoW) problem in the mining process of mobile devices requires a large amount of computing resources and energy consumption, which brings huge challenges to mobile devices. Mobile edge computing (MEC) can effectively solve the above problems, allowing mobile devices to offload tasks to edge servers to relieve the pressure of limited computing resources on mobile devices. Nonorthogonal multiple access (NOMA) is good at improving spectrum efficiency, so that the system can accommodate more users. In this paper, we propose a new NOMA-based MEC-enabled blockchain framework. Under the conditions of a given task execution deadline, the decision of offloading, local computing resource allocation, user clustering and admission control, and transmit power control is jointly optimized to minimize the total cost of the system. Since the problem is hard to solve, we decouple it into subproblems for low-complexity solutions. First, we propose two heuristic algorithms to obtain the binary offloading decision and user association, and then closed-form solutions of local resource allocation and transmit power control are obtained under the required delay constraints. Simulation results show that our proposed algorithms perform good in cost reduction compared with other baseline algorithms.
Highlights
In recent years, smart user devices, Internet of ings (IoT) devices, and their running smart applications have been widely popularized, and blockchain technology has been widely used in various industrial applications [1], such as IoT and healthcare
We find that there is still a lack of research on the optimal strategy for implementing mining task offloading in mobile blockchain. erefore, this paper considers the joint optimization of data offloading and resource allocation to improve the offloading efficiency in the blockchain network
Motivated by the above considerations, we consider the joint optimization of offloading decision, user clustering and admission control, and computation resource allocation and transmit power control in a nonorthogonal multiple access (NOMA)-based mixed edge and cloud-enabled blockchain network
Summary
Smart user devices, Internet of ings (IoT) devices, and their running smart applications have been widely popularized, and blockchain technology has been widely used in various industrial applications [1], such as IoT and healthcare. Many literature studies have proposed various methods to solve the offloading problem in the mobile blockchain networks, such as the method based on convex optimization. In [13], the authors applied NOMA to enable massive connectivity to support energy-efficient MEC in IoT networks by joint communication and computation resource allocation optimization. In [14], the authors studied task processing delay minimization issues in a multiuser NOMA-based MEC network by optimizing tasks partition ratios and transmit power control. In [15], the authors studied the energy consumption reduction in a NOMA-based MEC system by jointly optimizing the transmit time and power. Motivated by the above considerations, we consider the joint optimization of offloading decision, user clustering and admission control, and computation resource allocation and transmit power control in a NOMA-based mixed edge and cloud-enabled blockchain network.
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