Resource Pricing and Allocation in MEC Enabled Blockchain Systems: An A3C Deep Reinforcement Learning Approach

• Published in: IEEE transactions on network science and engineering Vol. 9; no. 1; pp. 33 - 44
• Main Authors: Du, Jianbo, Cheng, Wenjie, Lu, Guangyue, Cao, Haotong, Chu, Xiaoli, Zhang, Zhicai, Wang, Junxuan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Asynchronous advantage actor-critic (A3C); Blockchain; Blockchains; Computation offloading; Cryptography; Deep learning; deep reinforcement learning; Edge computing; Machine learning; Miners; Mobile computing; mobile edge computing; Multi-access edge computing; Optimization; Pricing; Reinforcement learning; resource allocation; Resource management; Simulation; Wireless communication

When using blockchain in mobile systems, computation intensive mining tasks pose great challenges to the processing capabilities of mobile miner equipment. Mobile edge computing (MEC) is an effective solution to alleviating the problem via task offloading. In the mining process, miners compete for r...