An Efficient Algorithm for Resource Allocation in Mobile Edge Computing Based on Convex Optimization and Karush–Kuhn–Tucker Method

Table 1

Simulation parameters.

Parameter	Value
Number of terminal devices	10
Base station communication range side length d	500 m
Computing task input data	U[100, 200] kB
Calculation service type	10 K
Uplink bandwidth B	20 MHz
Mobile terminal transmit power	23 dBm
Path loss	4
Noise power	−174 dBm/Hz
Computing power of the edge server F	30000 Megacycle
Computing power of the terminal	N(500, 50) Megacycle
Service cache required to execute a task	U[30,80] GB
Maximum storage capacity of the edge server C	500 GB
Transmission rate between the server and the remote cloud R	1 Mbps
Number of terminal equipment L	10