QoS-Aware Route Navigation for Pedestrians Using 5G Cellular Networks

• Published in: IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops (Print) pp. 1 - 6
• Main Authors: Jiang, Qiyu, Tang, Xing, Wang, Jing
• Format: Conference Proceeding
• Language: English
• Published: IEEE 02.09.2024
• Subjects: 5G cellular networks; 5G mobile communication; Aerodynamics; Cellular networks; Heuristic algorithms; Path planning; Pedestrians; Prediction algorithms; QoS; Quality of service; Roads; Route navigation; Wireless communication
• ISSN: 2166-9589
• DOI: 10.1109/PIMRC59610.2024.10817225

Route planning is a fundamental service for pedestrians navigating unfamiliar environments. Existing solutions often need to pay more attention to considering Quality of Service (QoS) requirements in the context of 5G cellular networks, a crucial aspect for enhancing user experiences. In this paper, we delve into the problem of QoS-aware dynamic path planning for pedestrians in 5G cellular networks, which presents itself as a multi-constrained optimization problem. To tackle this challenge, we merge the dynamic A* algorithm with Ant Colony Optimization (ACO) to determine the shortest path dynamically while ensuring QoS prerequisites. First, we employ a Markov prediction model and population statistics to forecast statechanging information. Second, we employ a retroactive priority queue to enhance the dynamism of the A* search algorithm. Then, we introduce a reference value generated by ACO to streamline the search space of A*. Finally, simulation results demonstrate our proposed method's effectiveness and efficiency.