Research Article
Transmission Mode Selection-Based Content Caching for Real-Time Swarm UAV-Assisted 6G IoT Networks
@INPROCEEDINGS{10.1007/978-3-032-44094-5_1, author={Thuong C. Lam and Nguyen-Son Vo and Tan Do-Duy and Long D. Nguyen and Thanh-Minh Phan and Hung T. Nguyen and De-Thu Huynh}, title={Transmission Mode Selection-Based Content Caching for Real-Time Swarm UAV-Assisted 6G IoT Networks}, proceedings={Industrial Networks and Intelligent Systems. 12th EAI International Conference, INISCOM 2026, Da Nang, Vietnam, February 26--27, 2026, Proceedings}, proceedings_a={INISCOM}, year={2026}, month={11}, keywords={6G Internet of Things content delivery applications and services transmission mode selection real-time swarm UAVs UAV caching}, doi={10.1007/978-3-032-44094-5_1} }- Thuong C. Lam
Nguyen-Son Vo
Tan Do-Duy
Long D. Nguyen
Thanh-Minh Phan
Hung T. Nguyen
De-Thu Huynh
Year: 2026
Transmission Mode Selection-Based Content Caching for Real-Time Swarm UAV-Assisted 6G IoT Networks
INISCOM
Springer
DOI: 10.1007/978-3-032-44094-5_1
Abstract
As 6G Internet of Things (IoT) networks evolve toward high data rate communications and low latency applications and services, this paper proposes a transmission mode selection-based content caching (MSC) integrated with real-time swarm UAV trajectory (RTT) optimization to enhance both system sum rate and service time. In MSC, IoT devices and users (IDUs) in different clusters are served cooperatively by unmanned aerial vehicles (UAVs) and macro base station (MBS) to maximize the overall sum rate, while the RTT design further ensures fast service time provided by the UAVs. Both MSC and RTT are jointly formulated as a unified MSC-RTT optimization problem, which determines (i) the optimal transmission mode selection, i.e., whether a UAV with proper cached contents or the MBS should serve the IDUs in a given cluster, and (ii) the optimal set of UAVs and their trajectories for efficient content delivery across clusters. Simulation results demonstrate that the proposed MSC-RTT framework significantly improves both sum rate and service time, outperforming the existing benchmarks in real-time content delivery applications and services over 6G IoT networks.