IEEE Transactions on Broadcasting最新文献

{"title":"IEEE Transactions on Broadcasting Information for Readers and Authors","authors":"","doi":"10.1109/TBC.2025.3603346","DOIUrl":"https://doi.org/10.1109/TBC.2025.3603346","url":null,"abstract":"","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"C3-C4"},"PeriodicalIF":4.8,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11152557","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Domain Spatial-Temporal Redundancy Mining for Efficient Learned Video Compression","authors":"Feng Yuan;Zhaoqing Pan;Jianjun Lei;Bo Peng;Fu Lee Wang;Sam Kwong","doi":"10.1109/TBC.2025.3587532","DOIUrl":"https://doi.org/10.1109/TBC.2025.3587532","url":null,"abstract":"The Conditional Coding-based Learned Video Compression (CC-LVC) has become an important paradigm in learned video compression, because it can effectively explore spatial-temporal redundancies within a huge context space. However, existing CC-LVC methods cannot accurately model motion information and efficiently mine contextual correlations for complex regions with non-rigid motions and non-linear deformations. To address these problems, an efficient CC-LVC method is proposed in this paper, which mines spatial-temporal dependencies across multiple motion domains and receptive domains for improving the video coding efficiency. To accurately model complex motions and generate precise temporal contexts, a Multi-domain Motion modeling Network (MMNet) is proposed to capture robust motion information from both spatial and frequency domains. Moreover, a multi-domain context refinement module is developed to discriminatively highlight frequency-domain temporal contexts and adaptively fuse multi-domain temporal contexts, which can effectively mitigate inaccuracies in temporal contexts caused by motion errors. In order to efficiently compress video signals, a Multi-scale Long Short-range Decorrelation Module (MLSDM)-based context codec is proposed, in which an MLSDM is designed to learn long short-range spatial-temporal dependencies and channel-wise correlations across varying receptive domains. Extensive experimental results show that the proposed method significantly outperforms VTM 17.0 and other state-of-the-art learned video compression methods in terms of both PSNR and MS-SSIM.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"808-820"},"PeriodicalIF":4.8,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998016","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}

{"title":"Performance Enhancement of OAM With OFDM-IM for FSO Communications Using LLR Detection","authors":"Aye Yadanar Win;Merhawit Berhane Teklu;Yeon Ho Chung","doi":"10.1109/TBC.2025.3587530","DOIUrl":"https://doi.org/10.1109/TBC.2025.3587530","url":null,"abstract":"Orbital angular momentum (OAM) communication has emerged as a promising technology for significantly enhancing data transmission efficiency and overall system performance in free-space optical (FSO) communication systems. However, its performance is severely affected by atmospheric turbulence (AT), which leads to signal attenuation, crosstalk, and degradation in system capacity and bit error rate (BER). To address these challenges, this paper proposes a novel approach that integrates OAM multiplexing with orthogonal frequency division multiplexing using index modulation (OFDM-IM) under varying AT conditions. Additionally, a low-complexity log-likelihood ratio detector is employed for efficient signal detection. Simulation results demonstrate that the proposed system outperforms conventional OAM-MIMO in terms of BER and capacity across various turbulence regimes and OAM modes. The proposed system is evaluated using different parameters, including propagation distance, active indices, and the number of users. The results suggest that our proposed system effectively balances resilience to turbulence and spatial multiplexing, ensuring sustained capacity in challenging FSO environments.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"784-792"},"PeriodicalIF":4.8,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998170","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}

{"title":"Angle-Domain Partition Beam Pattern-Based Beam Training in Sub-THz Extremely Large-Scale Antenna Array Communication Systems","authors":"Jingbo Tan;Jintao Wang;Jian Song","doi":"10.1109/TBC.2025.3582107","DOIUrl":"https://doi.org/10.1109/TBC.2025.3582107","url":null,"abstract":"Sub-terahertz (sub-THz) communications is considered one of the critical techniques in 6G network. To enlarge the antenna effective aperture and guarantee the received power, the employment of an extremely large-scale antenna array to generate high-gain beams is essential in sub-THz communications. Obtaining accurate channel path directions of users is necessary for achieving high-gain beamforming and efficient user scheduling in both unicast and multicast scenarios. However, the existing beam training schemes for acquiring channel path directions suffer from a large beam training overhead in either time-domain or frequency-domain. To solve this problem, we propose an angle-domain partition beam pattern (APBP) based beam training scheme by considering the delay-phase precoding architecture. Specifically, a wideband beam pattern called APBP is defined which covers the entire angle-domain and is realized by generating beams that cover different angle-domain partitions through different radio-frequency chains. Then, the property of the APBP is revealed that the channel path direction can be uniquely determined by using the targeted direction difference of beams satisfying two different APBPs with coprime partition numbers. Based on this property, we propose a fast beam training scheme with two stages. In the coarse estimation stage, the channel path directions are coarsely estimated by utilizing beams satisfying two different APBPs with coprime partition numbers. After that, a fine-tuning stage is operated to accurately decide the channel path directions. The proposed scheme is able to achieve accurate beam training by utilizing pilots occupying only three time slots and a small part of subcarriers. Theoretical analyses and extensive simulations have shown that the proposed scheme can realize a 75% reduction in beam training overhead with the near-optimal achievable sum-rate.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"741-755"},"PeriodicalIF":4.8,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998030","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}

{"title":"5G Multicast Broadcast Services Over Non Terrestrial Networks: An In-Depth Performance Analysis","authors":"Álvaro Ibanez;Carlos Barjau;David Gomez-Barquero;Manuel Fuentes;Sung-Ik Park;Seok-Ki Ahn","doi":"10.1109/TBC.2025.3582111","DOIUrl":"https://doi.org/10.1109/TBC.2025.3582111","url":null,"abstract":"The integration of 5G Multicast Broadcast Services (5MBS) within 3rd Generation Partnership Project (3GPP)-based Non-Terrestrial Networks (NTN) represents a major advancement in bridging the digital divide and improving network efficiency for multicast and broadcast communication. This paper presents a comprehensive study on the integration of 5MBS over NTN, focusing on a simulation-based performance evaluation. NTN, including Geosynchronous Earth Orbit (GEO), Medium Earth Orbit (MEO), and Low Earth Orbit (LEO) satellite systems, offer extensive coverage capabilities, particularly benefiting rural and underserved areas. A key highlight is the incorporation of Hybrid automatic repeat request (HARQ)-based Time Interleaving (TIL) mechanisms, which enhance broadcast resilience in NTN environments. NTN channels are characterized by high user mobility and dynamic channel conditions. By leveraging time diversity and spreading coded bits across non-consecutive slots, the proposed approach mitigates the effects of fast-fading and Doppler shift scenarios, achieving performance gains from 1 dB at lower speeds to 2.8 dB at 500 km/h, ensuring robust communication under Line of Sight (LoS) and Non Line of Sight (NLoS) conditions. This study proposes a 5MBS solution tailored for NTN deployment using a Link Level Simulator (LLS), considering channel modeling, environmental factors, and high mobility scenarios. The results show that while existing NTN setups struggle to maintain performance in high-speed environments (e.g., airplanes), the proposed HARQ-based TIL significantly improves performance under these challenging conditions. These findings validate the feasibility of integrating 5MBS with NTN and highlight its potential to deliver scalable and reliable broadcast and multicast services. The study provides valuable insights for future enhancements in 5G-Advanced systems and lays the foundation for novel Terrestrial Networks (TN)-NTN convergent deployments, contributing to the evolution of satellite-based communication networks and the International Mobile Telecommunications (IMT)-2030 evaluation process.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"681-695"},"PeriodicalIF":4.8,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998001","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}

{"title":"A Novel Low-PAPR Integrated Navigation-Communication Waveform Design for LEO Satellite Systems","authors":"Zhaoxian Yang;Miaoran Peng;Yu Zhang;Xinkun Zheng;Jiaxi Zhou;Tao Jiang","doi":"10.1109/TBC.2025.3582114","DOIUrl":"https://doi.org/10.1109/TBC.2025.3582114","url":null,"abstract":"Current orthogonal frequency-division multiplexing (OFDM)-based integrated navigation-communication (INC) designs suffer from critical limitations, particularly high peak-to-average power ratio (PAPR), which ultimately compromises the performance of both communication throughput and positioning accuracy. This paper proposes an acquisition-assisted low PAPR INC signal design scheme. Specifically, the transmitter utilizes the selectivity of the pseudorandom sequence designed for the navigation function in the frame header to indicate the index of the phase sequence that minimizes the PAPR of the OFDM signal, thereby avoiding the transmission of side information (SI) and achieving a reduction in PAPR. The receiver leverages the correlation properties of the designed synchronization sequence to jointly recover SI and estimate Doppler shift and time delay during the acquisition phase. The computational complexity of the proposed scheme is analyzed for both signal generation and SI recovery processes. The simulation results demonstrate that the proposed INC scheme achieves significant PAPR reduction without causing a degradation in the bit error rate (BER), maintains robust detection probability in low signal-to-noise ratio (SNR) environments, and attains high acquisition accuracy.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"930-940"},"PeriodicalIF":4.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998287","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}

{"title":"LFIC-DRASC: Deep Light Field Image Compression Using Disentangled Representation and Asymmetrical Strip Convolution","authors":"Shiyu Feng;Yun Zhang;Linwei Zhu;Sam Kwong","doi":"10.1109/TBC.2025.3579225","DOIUrl":"https://doi.org/10.1109/TBC.2025.3579225","url":null,"abstract":"Light-Field (LF) image is emerging 4D data of light rays that is capable of realistically presenting spatial and angular information of 3D scene. However, the large data volume of LF images becomes the most challenging issue in real-time processing, transmission, and storage. In this paper, we propose an end-to-end deep LF Image Compression method Using Disentangled Representation and Asymmetrical Strip Convolution (LFIC-DRASC) to improve coding efficiency. Firstly, we formulate the LF image compression problem as learning a disentangled LF representation network and an image encoding-decoding network. Secondly, we propose two novel feature extractors that leverage the structural prior of LF data by integrating features across different dimensions. Meanwhile, disentangled LF representation network is proposed to enhance the LF feature disentangling and decoupling. Thirdly, we propose the LFIC-DRASC for LF image compression, where two Asymmetrical Strip Convolution (ASC) operators, i.e., horizontal and vertical, are proposed to capture long-range correlation in LF feature space. These two ASC operators can be combined with the square convolution to further decouple LF features, which enhances the model’s ability in representing intricate spatial relationships. Experimental results demonstrate that the proposed LFIC-DRASC achieves an average of 20.5% bit rate reductions compared with the state-of-the-art methods. Source code and pre-trained models of LFIC-DRASC are available at <uri>https://github.com/SYSU-Video/LFIC-DRASC</uri>.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"889-902"},"PeriodicalIF":4.8,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144997131","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}

{"title":"MMSE Precoding for Reliability Enhancement in Downlink MISO-RSMA Systems","authors":"Xuehan Wang;Jintao Wang;Jinhong Yuan;Jian Song","doi":"10.1109/TBC.2025.3579251","DOIUrl":"https://doi.org/10.1109/TBC.2025.3579251","url":null,"abstract":"Rate splitting multiple access (RSMA) has been regarded as one of the most promising technologies for the next-generation broadcasting and mobile communication systems. Many prior designs for RSMA systems focused on the capacity optimization from the information-theoretic analysis, while the reliability in realistic deployment is less considered. To this end, the linear precoder of downlink multiple-input single-output (MISO)-RSMA systems is elaborately designed in this paper by minimizing the mean square error (MSE) associated with the worst user equipment (UE). The optimization problem is first formulated by investigating the MSE for each UE from the view of signal processing, where the zero-forcing (ZF) precoding is utilized for the private messages. The minimum MSE (MMSE) precoding is then obtained by utilizing the semi-definite relaxation (SDR) for the common precoding vector and deriving the closed-form optimal power allocation coefficient between private and common messages. A heuristic closed-form solution is then developed to reduce the complexity caused by the semi-definite programming (SDP). Simulation results demonstrate the reliability superiority of the proposed schemes beyond space-division multiple access (SDMA) and conventional RSMA approaches based on the max-min fairness (MMF) rate optimization even though the near-optimal weighted MMSE algorithm can be deployed.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"732-740"},"PeriodicalIF":4.8,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144997920","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}

{"title":"Secure Video Quality Assessment Resisting Adversarial Attacks","authors":"Ao-Xiang Zhang;Yuan-Gen Wang;Yu Ran;Weixuan Tang;Qingxiao Guan;Chunsheng Yang","doi":"10.1109/TBC.2025.3575339","DOIUrl":"https://doi.org/10.1109/TBC.2025.3575339","url":null,"abstract":"The exponential surge in video traffic has intensified the imperative for Video Quality Assessment (VQA). Leveraging cutting-edge architectures, current VQA models have achieved human-comparable accuracy. However, recent studies have revealed the vulnerability of existing VQA models against adversarial attacks. To establish a reliable and practical assessment system, a secure VQA model capable of resisting such malicious attacks is urgently demanded. Unfortunately, no attempt has been made to explore this issue. This paper first attempts to investigate general adversarial defense principles, aiming to endow existing VQA models with security. Specifically, we first introduce random spatial grid sampling on the video frame for intra-frame defense. Then, we design pixel-wise randomization through a guardian map, globally neutralizing adversarial perturbations. Meanwhile, we extract temporal information from the video sequence as compensation for inter-frame defense. Building upon these principles, we present a novel VQA framework from a security-oriented perspective, termed SecureVQA. Extensive experiments indicate that SecureVQA sets a new benchmark in security while achieving competitive VQA performance compared with state-of-the-art models. Ablation studies delve deeper into analyzing the principles of SecureVQA, demonstrating their generalization and contributions to the security of leading VQA models. The code is available at <uri>https://github.com/GZHU-DVL/SecureVQA</uri>.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"821-832"},"PeriodicalIF":4.8,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998181","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}

{"title":"When Multipath QUIC Meets Model Predictive Control and Band Sparse Network Coding: A Novel Multipathing Solution for Video Streaming Over Heterogeneous Wireless Networks","authors":"Yuanlong Cao;Haopeng Zhang;Ming Jiang;Yirui Jiang;Jinquan Nie","doi":"10.1109/TBC.2025.3570838","DOIUrl":"https://doi.org/10.1109/TBC.2025.3570838","url":null,"abstract":"Multipath Quick UDP Internet Connections (MPQUIC) integrated with network coding offers a promising approach to improving the Quality of Experience (QoE) for video services over heterogeneous wireless networks. However, a significant challenge arises when encoding nodes transmit potentially redundant packets while awaiting decoding acknowledgments (ACKs) from endpoints. This behavior can limit effective transmission rates, thereby degrading real-time streaming performance and user QoE. In this paper, we propose MP2-QUIC, which addresses these challenges through a novel adaptive Model Predictive Control (MPC) framework for MPQUIC that optimizes both congestion window and encoding redundancy parameters via a discrete state transition model. By incorporating operating point linearization and leveraging the Central Limit Theorem, MP2-QUIC effectively enhances the control performance and effective throughput of the model in heterogeneous wireless network environments. MP2-QUIC further employs Band-Sparse Network Coding (Band-SNC) to minimize computational complexity at endpoints, while utilizing queuing theory principles to determine optimal encoded packet quantities. This integrated approach significantly enhances end-user QoE, and the experimental results demonstrate MP2-QUIC’s superior performance compared to existing MPQUIC encoding solutions, yielding a 68.85% reduction in peak decoding overhead and marked improvements in Peak Signal-to-Noise Ratio (PSNR).","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"756-773"},"PeriodicalIF":4.8,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998284","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}