A Resource Allocation Method for Improving Energy Efficiency of Mobile Edge Computing Cellular Networks
A resource allocation and cellular network technology, which is applied in the field of resource allocation to improve the energy efficiency of mobile edge computing cellular networks, can solve the problems of not providing solutions, not considering user mobility, etc., to improve user experience and prolong power usage Duration, the effect of improving energy efficiency
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0048] In a single cell with time division multiple access, 10 users are randomly distributed within the coverage of the cell and move at different speeds and starting directions. The coverage radius of the cellular unit is 1 km, the uplink channel of the cellular unit uses the transmission bandwidth of 360 kHz, and the data transmission rate is 64 kbps. The interval δ of each transmission time slot is set to 0.1 seconds, and the prediction range is 5 seconds in the future, that is, T=50. According to the selected base station hardware equipment model, set the base station receiving antenna gain to 18.0dBi, and the base station receiving end noise figure to be N F = 2dB, the received signal strength R required by the base station to successfully receive the user upload data packet θ =-100dBm. The base station is configured with multiple MEC servers, which are used for data processing of tasks uploaded by mobile users, and for the computing power f that each user can provide ...
Embodiment 2
[0068] A resource allocation method to improve the energy consumption efficiency of mobile edge computing cellular networks. Based on the historical data information such as the user's movement trajectory and speed, the existing algorithm is used to predict the user's position in the future T time slots, and calculate the user's future position in the future. The distance from the base station in T time slots; based on the predicted distance, analyze and calculate the user's future communication channel quality and the transmission power required to successfully transmit data to the base station; , Under the constraints of limited communication time slot resources and the maximum limit of transmission power, with the goal of minimizing the total energy consumption of all users, the resource allocation problem is modeled as a mixed integer programming (MIP) problem to solve, and the transmission time slot and transmission power are obtained. The best way to allocate.
[0069] F...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


