DeepAI AI Chat
Log In Sign Up

Distributionally Robust Chance-Constrained Optimization for Hierarchical UAV-based MEC

by   Can Cui, et al.
Nanjing University of Aeronautics and Astronautics
Jilin University

Multi-access edge computing (MEC) is regarded as a promising technology in the sixth-generation communication. However, the antenna gain is always affected by the environment when unmanned aerial vehicles (UAVs) are served as MEC platforms, resulting in unexpected channel errors. In order to deal with the problem and reduce the power consumption in the UAV-based MEC, we jointly optimize the access scheme and power allocation in the hierarchical UAV-based MEC. Specifically, UAVs are deployed in the lower layer to collect data from ground users. Moreover, a UAV with powerful computation ability is deployed in the upper layer to assist with computing. The goal is to guarantee the quality of service and minimize the total power consumption. We consider the errors caused by various perturbations in realistic circumstances and formulate a distributionally robust chance-constrained optimization problem with an uncertainty set. The problem with chance constraints is intractable. To tackle this issue, we utilize the conditional value-at-risk method to reformulate the problem into a semidefinite programming form. Then, a joint algorithm for access scheme and power allocation is designed. Finally, we conduct simulations to demonstrate the efficiency of the proposed algorithm.


page 1

page 2

page 5


Joint Location and Power Optimization for THz-enabled UAV Communications

In this paper, the problem of unmanned aerial vehicle (UAV) deployment a...

Energy Efficiency and Hover Time Optimization in UAV-based HetNets

In this paper, we investigate the downlink performance of a three-tier h...

Energy Optimization for Cellular-Connected Multi-UAV Mobile Edge Computing Systems with Multi-Access Schemes

In this paper, a cellular-connected unmanned aerial vehicles (UAV) mobil...

Energy Efficient UAV-Based Service Offloading over Cloud-Fog Architectures

Unmanned Aerial Vehicles (UAVs) are poised to play a central role in rev...

Robust Resource Allocation for UAV Systems with UAV Jittering and User Location Uncertainty

In this paper, we investigate resource allocation algorithm design for m...

Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT

Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) syste...

Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs)

A novel approach that combines visible light communication (VLC) with un...