Reinforcement learning-based unmanned aerial vehicle trajectory planning for ground users’ mobility management in heterogeneous networks
The surge of data traffic in wireless networks necessitates the provision of high-quality data services to meet users’ satisfaction levels. However, the limited spectral resources of the current network infrastructures and inherent challenges of achieving reliable line-of-sight (LoS) probability for...
| Published in: | Journal of King Saud University - Computer and Information Sciences |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
King Saud bin Abdulaziz University
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193717239&doi=10.1016%2fj.jksuci.2024.102052&partnerID=40&md5=9e8dbd8362caff1f73b721d39950e2ae |