Resource Allocation Strategy for Blockchain-Enabled NOMA-Based MEC Networks

Abstract

Blockchain technology is getting more and more attention due to its decentralization, independence and security features. However, in wireless networks it faces a computational challenge: the proof-of-work problem. Mobile edge computing (MEC) leads to a vaild scheme by providing cloud computing capabilities to mobile devices. Non-orthogonal multiple access (NOMA) exploits the diversity properties in the power domain to further increase system throughput and spectral efficiency. In this paper, we suggest a new NOMA-based MEC wireless blockchain network to minimize system energy consumption through task offloading decision optimization, user clustering, computing resource and transmit power allocation. In order to effectively figure out this non-convex problem, we first propose a offloading decision and user clustering algorithm, and then propose a computing resource allocation algorithm based on user Quality of Service (QoS) requirements. Finally, the transmission power is simply solved. The numerical simulation results verify that the proposed joint optimization algorithm can effectively decrease the system energy consumption.

DenMerD: A Feature Enhanced Approach to Radar Beam Blockage Correction with Edge-Cloud Computing

“…Mobile Edge Computing (MEC) utilises the computational resources of edge devices to save energy consumption for smart devices and reduce computational latency of tasks, while avoiding network congestion in traditional cloud computing. Therefore, many researchers have worked on the application of MEC in different scenarios [17][18][19][20][21]. The visual representation of the radar beam blockage correction problem is the defect of the radar echo image, so an attempt can be made to solve the problem from the perspective of image restoration.…”