RT Journal Article
T1 Proactive dual connectivity for automated guided vehicles in outdoor industrial environment
A1 Mendoza, Jessica
A1 Kovács, István Z.
A1 López, Melisa
A1 Sørensen, Troels B.
A1 Adeogun, Ramoni
A1 De la Bandera Cascales, Isabel
A1 Barco-Moreno, Raquel
K1 Vehículos autodirigidos
K1 Robots industriales
K1 Algoritmos computacionales
AB 5G communication systems are one of the major enabling technologies to meet the needs of Industry 4.0. This paper focuses on the use case of automated guided vehicles (AGVs) in an outdoor industrial scenario. To meet the communication requirements in these type of use cases, dual connectivity (DC) with resource aggregation in the uplink (UL) is generally proposed. However, uncontrolled use of DC schemes may negatively affect the network causing effects such as reduced network capacity, increased signaling, and increased interference. To overcome these issues, this paper proposes and evaluates the use of a proactive DC activation algorithm based on the instantaneous quality of service (QoS) and network conditions. The proposed algorithm has two phases, a first phase in which the QoS prediction is performed, and a second phase in which the DC activation decision is made. The performance evaluation of the algorithm has been carried out in two different scenarios: a single-frequency (SF) network and a dualfrequency (DF) network; and compared to two baselines. Our results show that our predictive DC algorithm is sufficiently robust and can offer benefits in terms of reduced signaling and increased UL performance, especially in scenarios with low to medium traffic load.
PB IEEE
YR 2022
FD 2022
LK https://hdl.handle.net/10630/30165
UL https://hdl.handle.net/10630/30165
LA eng
NO Jessica Mendoza; István Z. Kovács; Melisa LÓPEZ; Troels B. Sørensen; Ramoni Adeogun; Isabel de-la-Bandera; Raquel Barco. "Proactive Dual Connectivity for Automated Guided Vehicles in Outdoor Industrial Environment," in IEEE Access, vol. 10, pp. 54149-54163, 2022.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026