论文信息 - Delay Minimization in Multi-UAV Assisted Wireless Networks: A Reinforcement Learning Approach - 字舞流文

Delay Minimization in Multi-UAV Assisted Wireless Networks: A Reinforcement Learning Approach

Shuo Shi | Xuemai Gu | Chenyu Wu | Xuemai Gu | Shuo Shi | Chenyu Wu

[1] Lingyang Song,et al. Joint Trajectory and Power Optimization for UAV Relay Networks , 2018, IEEE Communications Letters.

[2] Kandeepan Sithamparanathan,et al. Optimal LAP Altitude for Maximum Coverage , 2014, IEEE Wireless Communications Letters.

[3] Chi Harold Liu,et al. Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach , 2018, IEEE Journal on Selected Areas in Communications.

[4] Yue Gao,et al. Sparse Representation for Wireless Communications: A Compressive Sensing Approach , 2018, IEEE Signal Processing Magazine.

[5] Walid Saad,et al. Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage , 2016, IEEE Communications Letters.

[6] Rui Zhang,et al. Placement Optimization of UAV-Mounted Mobile Base Stations , 2016, IEEE Communications Letters.

[7] Frank Y. Li,et al. Low-Power Wide-Area Networks for Sustainable IoT , 2018, IEEE Wireless Communications.

[8] Rui Zhang,et al. Wireless communications with unmanned aerial vehicles: opportunities and challenges , 2016, IEEE Communications Magazine.

[9] Rui Zhang,et al. Throughput Maximization for UAV-Enabled Mobile Relaying Systems , 2016, IEEE Transactions on Communications.

[10] Christos Masouros,et al. Deployment Strategies of Multiple Aerial BSs for User Coverage and Power Efficiency Maximization , 2018, IEEE Transactions on Communications.