ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1801.05500
  4. Cited By
Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for
  Interference Management

Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management

16 January 2018
Ursula Challita
Walid Saad
C. Bettstetter
ArXivPDFHTML

Papers citing "Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management"

15 / 15 papers shown
Title
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy
  Environments Based on Deep Reinforcement Learning
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning
Hao Qin
Zhaozhou Wu
Xingqi Zhang
16
0
0
31 Aug 2023
Joint Path planning and Power Allocation of a Cellular-Connected UAV
  using Apprenticeship Learning via Deep Inverse Reinforcement Learning
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning
Alireza Shamsoshoara
Fatemeh Lotfi
Sajad Mousavi
Fatemeh Afghah
Ismail Güvenç
44
10
0
15 Jun 2023
Communication and Control in Collaborative UAVs: Recent Advances and
  Future Trends
Communication and Control in Collaborative UAVs: Recent Advances and Future Trends
Shumaila Javaid
Nasir Saeed
Zakria Qadir
Hamza Fahim
Bin He
Haoze Song
Muhammad Bilal
31
93
0
23 Feb 2023
Workload-Aware Scheduling using Markov Decision Process for
  Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks
Workload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks
Soohyun Park
C. Park
Soyi Jung
Jae-Hyun Kim
Joongheon Kim
19
6
0
18 Jan 2023
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule
  for Internet of Vehicle
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle
Xiaoyu Dai
K. Ota
M. Dong
16
3
0
15 Feb 2022
Responsive Regulation of Dynamic UAV Communication Networks Based on
  Deep Reinforcement Learning
Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning
Ran Zhang
Duc Minh Nguyen
Nguyen
Miao Wang
L. Cai
Xuemin
X. Shen
11
3
0
25 Aug 2021
Learning-Based UAV Trajectory Optimization with Collision Avoidance and
  Connectivity Constraints
Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints
Xueyuan Wang
M. C. Gursoy
17
19
0
03 Apr 2021
Edge Computing Assisted Autonomous Flight for UAV: Synergies between
  Vision and Communications
Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications
Quan Chen
Hai Zhu
Lei Yang
Xiaoqian Chen
S. Pollin
E. Vinogradov
14
30
0
10 Dec 2020
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey
Mohamed-Amine Lahmeri
Mustafa A. Kishk
Mohamed-Slim Alouini
31
102
0
24 Sep 2020
A Deep Reinforcement Learning Approach to Efficient Drone Mobility
  Support
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support
Yun Chen
Xingqin Lin
T. Khan
Mohammad Mozaffari
19
7
0
11 May 2020
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV
  with Deep Reinforcement Learning
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning
Yong Zeng
Xiaoli Xu
Shi Jin
Rui Zhang
9
164
0
17 Mar 2020
Communication-Efficient Massive UAV Online Path Control: Federated
  Learning Meets Mean-Field Game Theory
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory
Hamid Shiri
Jihong Park
M. Bennis
12
77
0
09 Mar 2020
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust
  between Human and Machine
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine
Weisi Guo
32
40
0
11 Nov 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model,
  Applications and Challenges
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
OffRL
21
202
0
22 Jul 2019
Path Design for Cellular-Connected UAV with Reinforcement Learning
Path Design for Cellular-Connected UAV with Reinforcement Learning
Yong Zeng
Xiaoli Xu
8
54
0
09 May 2019
1