Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence

08/03/2018
by   Nei Kato, et al.
0

It is widely acknowledged that the development of traditional terrestrial communication technologies cannot provide all users with fair and high quality services due to the scarce network resource and limited coverage areas. To complement the terrestrial connection, especially for users in rural, disaster-stricken, or other difficult-to-serve areas, satellites, unmanned aerial vehicles (UAVs), and balloons have been utilized to relay the communication signals. On the basis, Space-Air-Ground Integrated Networks (SAGINs) have been proposed to improve the users' Quality of Experience (QoE). However, compared with existing networks such as ad hoc networks and cellular networks, the SAGINs are much more complex due to the various characteristics of three network segments. To improve the performance of SAGINs, researchers are facing many unprecedented challenges. In this paper, we propose the Artificial Intelligence (AI) technique to optimize the SAGINs, as the AI technique has shown its predominant advantages in many applications. We first analyze several main challenges of SAGINs and explain how these problems can be solved by AI. Then, we consider the satellite traffic balance as an example and propose a deep learning based method to improve the traffic control performance. Simulation results evaluate that the deep learning technique can be an efficient tool to improve the performance of SAGINs.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 6

page 7

research
01/25/2021

Artificial Intelligence for Satellite Communication: A Review

Satellite communication offers the prospect of service continuity over u...
research
04/13/2020

An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks

Modern Unmanned Aerial Vehicles equipped with state of the art artificia...
research
12/02/2022

Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network

The space-air-ground integrated network (SAGIN), one of the key technolo...
research
10/25/2021

GANash – A GAN approach to steganography

Data security is of the utmost concern of a communication system. Since ...
research
02/03/2022

Space-Air-Ground Integrated Multi-domain Network Resource Orchestration based on Virtual Network Architecture: a DRL Method

Traditional ground wireless communication networks cannot provide high-q...
research
02/25/2022

Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks

Connectivity in rural areas is one of the main challenges of communicati...
research
11/10/2022

Column Generation for Optimization Problems in Communication Networks

Numerous communication networks are emerging to serve the various demand...

Please sign up or login with your details

Forgot password? Click here to reset