Paper Info
Title
Secure and Energy-Efficient Offloading and Resource Allocation in a NOMA-Based MEC Network
Abstract
Energy efficiency and security are two critical issues for mobile edge computing (MEC) networks. With stochastic task arrivals, time-varying dynamic environment, and passive existing attackers, it is very challenging to offload computation tasks securely and efficiently. In this paper, we study the task offloading and resource allocation problem in a non-orthogonal multiple access (NOMA) assisted MEC network with security and energy efficiency considerations. To tackle the problem, a dynamic secure task offloading and resource allocation algorithm is proposed based on Lyapunov optimization theory. A stochastic non-convex problem is formulated to jointly optimize the local-CPU frequency and transmit power, aiming at maximizing the network energy efficiency, which is defined as the ratio of the long-term average secure rate to the long-term average power consumption of all users. The formulated problem is decomposed into the deterministic sub-problems in each time slot. The optimal local CPU-cycle and the transmit power of each user can be given in the closed-from. Simulation results evaluate the impacts of different parameters on the efficiency metrics and demonstrate that the proposed method can achieve better performance compared with other benchmark methods in terms of energy efficiency.
Year
DOI
Venue
2020
10.1109/SEC50012.2020.00063
2020 IEEE/ACM Symposium on Edge Computing (SEC)
Keywords
DocType
ISBN
Edge computing,physical layer security,Lyapunov optimization,resource allocation,NOMA
Conference
978-1-7281-5944-7
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Qun Wang1276.13
Han Hu241.74
Haijian Sun31107.22
Rose Qingyang Hu41702135.35