{"title":"Long-Term and Short-Term Information Propagation and Fusion for Learned Video Compression","authors":"Shen Wang, Donghui Feng, Guo Lu, Zhengxue Cheng, Li Song, Wenjun Zhang","doi":"10.1109/tbc.2024.3434702","DOIUrl":"https://doi.org/10.1109/tbc.2024.3434702","url":null,"abstract":"","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"51 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The vision of the future 5G - Multicast Broadcast Services (5G-MBS) is to achieve full convergence of broadcast and broadband services by providing these services on the same infrastructure and dynamically switching between them without impacting user experiences. By incorporating Layered Division Multiplexing (LDM) into the new 5G-MBS system and performing proper antenna precoding, the network can transmit a 2-layered signal where the higher-power Core Layer (CL) transmits a Single Frequency Network (SFN) broadcast signal, and the lower-power Enhanced Layer (EL) is used for broadband services. To evaluate the performance of the 2-layered network, a 5G system-level simulator is created and configured according to the 3GPP self-evaluation scenarios to compare against the 3GPP calibration results. The resulting Signal to Interference & Noise Ratio (SINR) Cumulative Distribution Function (CDF) curves fall within the tolerance margin of 1~2 dB from the 3GPP calibration average. Full simulations of the 2-layered network show for an urban scenario with Inter-Site Distance (ISD) of less than 1 km, the network can provide up to three 4K video broadcast services in the CL while supporting a near full broadband network in the EL. For further ISDs up to 3 km, the network can sustain video broadcast service at 1080p while supporting a partial broadband network. For a rural scenario, at the reference ISD of 1732 m, the CL can support three 4k video broadcast services while the EL performance matches a standalone broadband network. Finally, for further ISD of up to 5 km, the CL can support one 1080p and one 720p video broadcast service, and for ISD up to 10 km, the network can provide one broadcast service at 720p in the CL, all while providing a full broadband network in the EL.
{"title":"Layered Division Multiplexing Enabled Broadcast Broadband Convergence in 5G: Theory, Simulations, and Scenarios","authors":"Yu Xue;Wei Li;Yuxiao Zhai;Liang Zhang;Zhihong Hong;Elvino Sousa;Yiyan Wu","doi":"10.1109/TBC.2024.3437204","DOIUrl":"10.1109/TBC.2024.3437204","url":null,"abstract":"The vision of the future 5G - Multicast Broadcast Services (5G-MBS) is to achieve full convergence of broadcast and broadband services by providing these services on the same infrastructure and dynamically switching between them without impacting user experiences. By incorporating Layered Division Multiplexing (LDM) into the new 5G-MBS system and performing proper antenna precoding, the network can transmit a 2-layered signal where the higher-power Core Layer (CL) transmits a Single Frequency Network (SFN) broadcast signal, and the lower-power Enhanced Layer (EL) is used for broadband services. To evaluate the performance of the 2-layered network, a 5G system-level simulator is created and configured according to the 3GPP self-evaluation scenarios to compare against the 3GPP calibration results. The resulting Signal to Interference & Noise Ratio (SINR) Cumulative Distribution Function (CDF) curves fall within the tolerance margin of 1~2 dB from the 3GPP calibration average. Full simulations of the 2-layered network show for an urban scenario with Inter-Site Distance (ISD) of less than 1 km, the network can provide up to three 4K video broadcast services in the CL while supporting a near full broadband network in the EL. For further ISDs up to 3 km, the network can sustain video broadcast service at 1080p while supporting a partial broadband network. For a rural scenario, at the reference ISD of 1732 m, the CL can support three 4k video broadcast services while the EL performance matches a standalone broadband network. Finally, for further ISD of up to 5 km, the CL can support one 1080p and one 720p video broadcast service, and for ISD up to 10 km, the network can provide one broadcast service at 720p in the CL, all while providing a full broadband network in the EL.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"70 3","pages":"1018-1031"},"PeriodicalIF":3.2,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-28DOI: 10.1109/tbc.2024.3443544
Hao Yang, Tao Lin, Yuan Zhang, Yin Xu, Zhe Chen, Jinyao Yan
{"title":"Enhancing QoE for Multi-Device Video Delivery: A Novel Dataset and Model Perspective","authors":"Hao Yang, Tao Lin, Yuan Zhang, Yin Xu, Zhe Chen, Jinyao Yan","doi":"10.1109/tbc.2024.3443544","DOIUrl":"https://doi.org/10.1109/tbc.2024.3443544","url":null,"abstract":"","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"13 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-23DOI: 10.1109/TBC.2024.3394293
Qian Huang;Xueguang Yuan;Xiaoyin Yi;Qingming Xie;Qin Jiang;Bingxin Wang
The advent of 5G technology and new energy radio communication systems heralds a significant shift in the landscape of automated driving. This paper focuses on the integration of 5G and broadcast services in the realm of new energy automatic assisted driving, emphasizing the importance of reliable, energy-efficient communication in the large-scale IoV. The enhanced capabilities of 5G enable improved vehicle battery endurance while safeguarding user data privacy and road traffic safety. We introduce RIS relay reflection as a novel approach to optimize non-line-of-sight links, presenting a RIS-assisted communication model tailored for 5G-enhanced large-scale IoV. The paper evaluates the trustworthiness of RIS relays using user behavior data, proposing a reliable and energy-efficient communication scheme that incorporates RIS security relay assistance. This scheme ensures the selection of trustworthy relays, synergizing the beam direction of transmitters and RISs for optimal 5G broadcast service delivery and OTA updates. Our approach promises to revolutionize communication in large-scale IoV systems, paving the way for a more connected and efficient future in automated vehicle networks.
{"title":"Enhancing 5G Broadcast Services in Large-Scale IoV Networks Using Reliable RIS Relaying","authors":"Qian Huang;Xueguang Yuan;Xiaoyin Yi;Qingming Xie;Qin Jiang;Bingxin Wang","doi":"10.1109/TBC.2024.3394293","DOIUrl":"10.1109/TBC.2024.3394293","url":null,"abstract":"The advent of 5G technology and new energy radio communication systems heralds a significant shift in the landscape of automated driving. This paper focuses on the integration of 5G and broadcast services in the realm of new energy automatic assisted driving, emphasizing the importance of reliable, energy-efficient communication in the large-scale IoV. The enhanced capabilities of 5G enable improved vehicle battery endurance while safeguarding user data privacy and road traffic safety. We introduce RIS relay reflection as a novel approach to optimize non-line-of-sight links, presenting a RIS-assisted communication model tailored for 5G-enhanced large-scale IoV. The paper evaluates the trustworthiness of RIS relays using user behavior data, proposing a reliable and energy-efficient communication scheme that incorporates RIS security relay assistance. This scheme ensures the selection of trustworthy relays, synergizing the beam direction of transmitters and RISs for optimal 5G broadcast service delivery and OTA updates. Our approach promises to revolutionize communication in large-scale IoV systems, paving the way for a more connected and efficient future in automated vehicle networks.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"70 3","pages":"1104-1112"},"PeriodicalIF":3.2,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-07DOI: 10.1109/tbc.2024.3437216
Vasileios P. Rekkas, Sotirios P. Sotiroudis, Lazaros Alexios Iliadis, Sander Bastiaens, Wout Joseph, David Plets, Christos G. Christodoulou, George K. Karagiannidis, Sotirios K. Goudos
{"title":"Enhancing 3D Indoor Visible Light Positioning With Machine Learning Combined Nyström Kernel Approximation","authors":"Vasileios P. Rekkas, Sotirios P. Sotiroudis, Lazaros Alexios Iliadis, Sander Bastiaens, Wout Joseph, David Plets, Christos G. Christodoulou, George K. Karagiannidis, Sotirios K. Goudos","doi":"10.1109/tbc.2024.3437216","DOIUrl":"https://doi.org/10.1109/tbc.2024.3437216","url":null,"abstract":"","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"23 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141940834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-05DOI: 10.1109/tbc.2024.3434736
Yu Zhao, Mao Ye, Luping Ji, Hongwei Guo, Ce Zhu
{"title":"Temporal Adaptive Learned Surveillance Video Compression","authors":"Yu Zhao, Mao Ye, Luping Ji, Hongwei Guo, Ce Zhu","doi":"10.1109/tbc.2024.3434736","DOIUrl":"https://doi.org/10.1109/tbc.2024.3434736","url":null,"abstract":"","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"46 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141969069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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