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

by   Tiankui Zhang, et al.

Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system is a prominent concept, where a UAV equipped with a MEC server is deployed to serve a number of terminal devices (TDs) of Internet of Things (IoT) in a finite period. In this paper, each TD has a certain latency-critical computation task in each time slot to complete. Three computation strategies can be available to each TD. First, each TD can operate local computing by itself. Second, each TD can partially offload task bits to the UAV for computing. Third, each TD can choose to offload task bits to access point (AP) via UAV relaying. We propose a new optimization problem formulation that aims to minimize the total energy consumption including communication-related energy, computation-related energy and UAV's flight energy by optimizing the bits allocation, time slot scheduling and power allocation as well as UAV trajectory design. As the formulated problem is non-convex and difficult to find the optimal solution, we solve the problem by two parts, and obtain the near optimal solution with within a dozen of iterations. Finally, numerical results are given to validate the proposed algorithm, which is verified to be efficient and superior to the other benchmark cases.


page 4

page 6

page 7

page 8

page 9

page 15

page 19

page 20


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...

Digital Twin Assisted Task Offloading for Aerial Edge Computing and Networks

Considering the user mobility and unpredictable mobile edge computing (M...

Average Age-of-Information Minimization in UAV-assisted IoT Networks

Motivated by the need to ensure timely delivery of information (e.g., st...

Cross-layer Design for Mission-Critical IoT in Mobile Edge Computing Systems

In this work, we propose a cross-layer framework for optimizing user ass...

Optimal Trajectory Planning and Task Assignment for UAV-assisted Fog Computing

Fog computing is an emerging distributed computing model for the Interne...

Adaptive Task Allocation for Mobile Edge Learning

This paper aims to establish a new optimization paradigm for implementin...

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

Multi-access edge computing (MEC) is regarded as a promising technology ...

Please sign up or login with your details

Forgot password? Click here to reset