## 3 Beam Allocation Algorithm Based on MAPPO and Stackelberg Game
### Beam Allocation Algorithm Based on MAPPO
[CrossRef]
* (11) [PERSON]; [PERSON] Beam tracking and optimization for UAV communications. _IEEE Trans. Wirel. Commun._**2019**, _18_, 5367-5379. [CrossRef]
* (12) [PERSON]; [PERSON]; [PERSON] Beam tracking for mobile millimeter wave communication systems. In Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington, DC, USA, 7-9 December 2016; pp. 743-747. * (13) [PERSON]; [PERSON] Adaptive beam tracking with the unscented Kalman filter for millimeter wave communication. _IEEE Signal Process. Lett._**2019**, _26_, 1658-1662. [CrossRef]
* (14) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Learning-based predictive beamforming for integrated sensing and communication in vehicular networks. _IEEE J. Sel. Areas Commun._**2022**, _40_, 2317-2334. [CrossRef]
* (15) [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep learning-based beam tracking for millimeter-wave communications under mobility. _IEEE Trans. Commun._**2021**, _69_, 7458-7469. [CrossRef]
* (16) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Learning-based predictive beamforming for UAV communications with jittering. _IEEE Wirel. Commun. Lett._**2020**, \(9\), 1970-1974. [CrossRef]
* (17) [PERSON]; [PERSON] _Reinforcement Learning: An introduction_; MIT Press: Cambridge, MA, USA, 2018. * (18) [PERSON]; [PERSON] Reinforcement learning. _Adapt. Learn. Optim._**2012**, _12_, 729. * (19) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Intelligent beam training for millimeter-wave communications via deep reinforcement learning. In Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM), Big Island, HI, USA, 9-13 December 2019; pp. 1-7. * (20) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] Intelligent interactive beam training for millimeter wave communications. _IEEE Trans. Wirel. Commun._**2020**, _20_, 2034-2048. [CrossRef]
* (21) [PERSON]; [PERSON]; [PERSON] Q-learning-based low complexity beam tracking for mmWave beamforming system. In Proceedings of the 2020 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Republic of Korea, 21-23 October 2020; pp. 1451-1455. * (22) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Machine-learning beam tracking and weight optimization for mmWave multi-UAV links. _IEEE Trans. Wirel. Commun._**2021**, _20_, 5481-5494. [CrossRef]
* (23) [PERSON]; [PERSON]; [PERSON]; [PERSON] Online learning for joint beam tracking and pattern optimization in massive MIMO systems. In Proceedings of the IEEE INFOCOM 2020-IEEE Conference on Computer Communications, Virtual, on 6-9 July 2020; pp. 764-773. * (24) [PERSON]; [PERSON]; [PERSON]; [PERSON] A beam tracking scheme based on deep reinforcement learning for multiple vehicles. In Proceedings of the International Conference on Communications and Networking in China, Beijing, China, 21-22 November 2021; Springer: Berlin/Heidelberg, Germany, 2021; pp. 291-305. * (25) [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep reinforcement learning-based beam tracking for low-latency services in vehicular networks. In Proceedings of the ICC 2020-2020 IEEE International Conference on Communications (ICC), Virtual, 7-11 June 2020; pp. 1-7. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Joint radar-communication strategies for autonomous vehicles: Combining two key automotive technologies. _IEEE Signal Process. Mag._**2020**, _37_, 85-97. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Perceptive mobile networks: Cellular networks with radio vision via joint communication and radar sensing. _IEEE Veh. Technol. Mag._**2020**, _16_, 20-30. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] Integrated sensing and communications (ISAC) for vehicular communication networks (VCN). _IEEE Internet Things J._**2022**, \(9\), 23441-23451. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al.