Deep Reinforcement Learning Based UAV Assisted SVC Video Multicast
In this paper,a flexible video multicast mechanism assisted by the UAV base station is proposed.In combination with SVC encoding,the dynamic deployment and resource allocation of UAV are considered jointly in order to maximize the overall number of enhancement layers received by users.The traditiona...
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| Format: | Article |
| Language: | zho |
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Editorial office of Computer Science
2021-09-01
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| Series: | Jisuanji kexue |
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| Online Access: | http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-271.pdf |
| _version_ | 1819290953656041472 |
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| author | CHENG Zhao-wei, SHEN Hang, WANG Yue, WANG Min, BAI Guang-wei |
| author_facet | CHENG Zhao-wei, SHEN Hang, WANG Yue, WANG Min, BAI Guang-wei |
| author_sort | CHENG Zhao-wei, SHEN Hang, WANG Yue, WANG Min, BAI Guang-wei |
| collection | DOAJ |
| description | In this paper,a flexible video multicast mechanism assisted by the UAV base station is proposed.In combination with SVC encoding,the dynamic deployment and resource allocation of UAV are considered jointly in order to maximize the overall number of enhancement layers received by users.The traditional heuristic algorithm is difficult to deal with the complexity of user movement,considering that the user movement within the range of macro station will change the network topology.To this end,the DDPG algorithm based on deep reinforcement learning is used to train the neural network to decide the optimal location and bandwidth allocation proportion of UAV.After the model converges,the learning agent can find the optimal UAV deployment and bandwidth allocation strategy in a short time.The simulation results show that the proposed scheme achieves the expected goal and is superior to the existing scheme based on Q-learning. |
| first_indexed | 2024-12-24T03:30:56Z |
| format | Article |
| id | doaj.art-13d494d2ca6e4cafa71649fa071ce89b |
| institution | Directory Open Access Journal |
| issn | 1002-137X |
| language | zho |
| last_indexed | 2024-12-24T03:30:56Z |
| publishDate | 2021-09-01 |
| publisher | Editorial office of Computer Science |
| record_format | Article |
| series | Jisuanji kexue |
| spelling | doaj.art-13d494d2ca6e4cafa71649fa071ce89b2022-12-21T17:17:12ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2021-09-0148927127710.11896/jsjkx.201000078Deep Reinforcement Learning Based UAV Assisted SVC Video MulticastCHENG Zhao-wei, SHEN Hang, WANG Yue, WANG Min, BAI Guang-wei01 College of Computer Science and Technology,Nanjing Tech University,Nanjing 211816,China <br/>2 State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210093,ChinaIn this paper,a flexible video multicast mechanism assisted by the UAV base station is proposed.In combination with SVC encoding,the dynamic deployment and resource allocation of UAV are considered jointly in order to maximize the overall number of enhancement layers received by users.The traditional heuristic algorithm is difficult to deal with the complexity of user movement,considering that the user movement within the range of macro station will change the network topology.To this end,the DDPG algorithm based on deep reinforcement learning is used to train the neural network to decide the optimal location and bandwidth allocation proportion of UAV.After the model converges,the learning agent can find the optimal UAV deployment and bandwidth allocation strategy in a short time.The simulation results show that the proposed scheme achieves the expected goal and is superior to the existing scheme based on Q-learning.http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-271.pdfscalable video coding(svc)|multicast|deep reinforcement learning|unmanned aerial vehicles|mobile internet |
| spellingShingle | CHENG Zhao-wei, SHEN Hang, WANG Yue, WANG Min, BAI Guang-wei Deep Reinforcement Learning Based UAV Assisted SVC Video Multicast Jisuanji kexue scalable video coding(svc)|multicast|deep reinforcement learning|unmanned aerial vehicles|mobile internet |
| title | Deep Reinforcement Learning Based UAV Assisted SVC Video Multicast |
| title_full | Deep Reinforcement Learning Based UAV Assisted SVC Video Multicast |
| title_fullStr | Deep Reinforcement Learning Based UAV Assisted SVC Video Multicast |
| title_full_unstemmed | Deep Reinforcement Learning Based UAV Assisted SVC Video Multicast |
| title_short | Deep Reinforcement Learning Based UAV Assisted SVC Video Multicast |
| title_sort | deep reinforcement learning based uav assisted svc video multicast |
| topic | scalable video coding(svc)|multicast|deep reinforcement learning|unmanned aerial vehicles|mobile internet |
| url | http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-271.pdf |
| work_keys_str_mv | AT chengzhaoweishenhangwangyuewangminbaiguangwei deepreinforcementlearningbaseduavassistedsvcvideomulticast |