Secure Energy-Saving Resource Allocation on Massive MIMO-MEC System

Under the double threat of malicious user jamming attacks and eavesdropping, mobile edge computing (MEC) systems will have some information security issues, such as uplink offloading is hindered, user information leakage, and low system energy utilization. To address this problem, we propose to use physical layer security technology to prevent eavesdropping, and use massive multiple input multiple output (mMIMO) technology to reduce interference and improve system energy efficiency. In addition, under the conditions of limited delay, the user’s total energy consumption is minimized by jointly optimizing the user’s offloading data bits, transmission power, and offloading rate. For this non-convex multi-objective optimization problem, which can be decomposed into multiple sub-optimal sub-problems. First, the Lagrange multiplier method is used to obtain a closed expression of the user’s offloading data bits, and then the iterative algorithm is used to obtain the user’s optimal transmit power and maximum offloading rate. The simulation results show that, under the premise of ensuring information security, the system’s total energy efficiency of antennas (<inline-formula> <tex-math notation="LaTeX">$M=128$ </tex-math></inline-formula>) is improved 30% compared with antennas (<inline-formula> <tex-math notation="LaTeX">$M=4$ </tex-math></inline-formula>) when the amount of data reaches <inline-formula> <tex-math notation="LaTeX">$5\times 10^{5}$ </tex-math></inline-formula> bits.