DeepAI AI Chat
Log In Sign Up

Incorporating Distributed DRL into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network

02/03/2022
by   Chao Wang, et al.
0

Space-air-ground integrated network (SAGIN) is a new type of wireless network mode. The effective management of SAGIN resources is a prerequisite for high-reliability communication. However, the storage capacity of space-air network segment is extremely limited. The air servers also do not have sufficient storage resources to centrally accommodate the information uploaded by each edge server. So the problem of how to coordinate the storage resources of SAGIN has arisen. This paper proposes a SAGIN storage resource management algorithm based on distributed deep reinforcement learning (DRL). The resource management process is modeled as a Markov decision model. In each edge physical domain, we extract the network attributes represented by storage resources for the agent to build a training environment, so as to realize the distributed training. In addition, we propose a SAGIN resource management framework based on distributed DRL. Simulation results show that the agent has an ideal training effect. Compared with other algorithms, the resource allocation revenue and user request acceptance rate of the proposed algorithm are increased by about 18.15% and 8.35% respectively. Besides, the proposed algorithm has good flexibility in dealing with the changes of resource conditions.

READ FULL TEXT

page 1

page 2

02/10/2023

Deep Reinforcement Learning-based Energy Efficiency Optimization For Flying LoRa Gateways

A resource-constrained unmanned aerial vehicle (UAV) can be used as a fl...
11/23/2021

No Free Lunch: Balancing Learning and Exploitation at the Network Edge

Over the last few years, the DRL paradigm has been widely adopted for 5G...
06/06/2022

A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid

Smart grid (SG) systems enhance grid resilience and efficient operation,...
02/03/2022

IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode

The wireless network communication mode represented by the Internet of v...
10/11/2019

Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge

AI heralds a step-change in the performance and capability of wireless n...
05/23/2022

MetaSlicing: A Novel Resource Allocation Framework for Metaverse

Creating and maintaining the Metaverse requires enormous resources that ...