학술논문

An Efficient Load-Balancing Scheme for UAVs in 5G Infrastructure
Document Type
Periodical
Source
IEEE Systems Journal Systems Journal, IEEE. 17(1):780-791 Mar, 2023
Subject
Components, Circuits, Devices and Systems
Computing and Processing
Device-to-device communication
Autonomous aerial vehicles
5G mobile communication
Peer-to-peer computing
Costs
Resource management
Markov processes
5G
in-network caching
Internet of Things (IoT)
load balancing
resource allocation
unmanned aerial vehicle (UAV)
Language
ISSN
1932-8184
1937-9234
2373-7816
Abstract
Deploying caches at the macro base station (MBS), unmanned aerial vehicle (UAV), and mobile user caches can effectively reduce the retransmission of duplicate content in the 5G cellular wireless hotspot network. As the storage capacity of MBS is much higher than UAVs and other hotspot cache nodes, the MBS advertises its vacant storage space so that the participating nodes can rent it. In this article, we proposed an efficient load-balancing scheme by using the Stackelberg equilibrium game model. The proposed scheme sets a unit price ($\xi$) based on constraints to avoid data traffic uncertainty caused by participation nodes and rent vacant space of MBS. Furthermore, we proposed an efficient scheme for the placement and delivery of hotspot content by using Knapsack and Zipf. Moreover, ensuring the device-to-device link support also minimizes transportation costs. The results validate that considering the above-mentioned techniques significantly improves the overall hotspot network performance.