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Journal articles on the topic 'Codes for low-latency streaming'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

Nikhil Krishnan, M., Vinayak Ramkumar, Myna Vajha, and P. Vijay Kumar. "Simple Streaming Codes for Reliable, Low-Latency Communication." IEEE Communications Letters 24, no. 2 (2020): 249–53. http://dx.doi.org/10.1109/lcomm.2019.2956500.

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Wang, Cong. "A Novel Model for Large-Scale Online College Learning in Postpandemic Era: AI-Driven Approach." Mobile Information Systems 2021 (December 14, 2021): 1–10. http://dx.doi.org/10.1155/2021/1048186.

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COVID-19 is a pandemic with a wide reach and explosive magnitude, and the world has been bracing itself for impact. Many have lost their jobs and savings, and many are homeless. For better or worse, COVID-19 has permanently changed our lives. For college students, the pandemic means giving up most of the on-campus experience in the postpandemic era and performing online learning instead. Virtual lessons may become a permanent part of college education. Large-scale online learning typically utilizes interactive live video streaming. In this study, we analyzed a codec and video streaming transmi

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3

Badr, Ahmed, Pratik Patil, Ashish Khisti, Wai-Tian Tan, and John Apostolopoulos. "Layered Constructions for Low-Delay Streaming Codes." IEEE Transactions on Information Theory 63, no. 1 (2017): 111–41. http://dx.doi.org/10.1109/tit.2016.2618924.

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Sayanna Chandula and Jyothiprakash Reddy Thukivakam. "Streaming Audio with Bluetooth : A Deep Dive into A2DP and LE Audio." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2366–78. https://doi.org/10.32628/cseit25112506.

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The evolution of Bluetooth audio streaming has been significantly shaped by the adoption of various audio codecs, with A2DP (Advanced Audio Distribution Profile) and AVRCP (Audio/Video Remote Control Profile) serving as its foundation. These codecs each come with their own set of trade-offs, which include bitrate, latency, compatibility, and power usage. While Bluetooth technology has seen advancements in terms of versions and capabilities, current implementations still face limitations. These limitations have paved the way for the emergence of Bluetooth Low Energy Audio as a potential solutio

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Yıldız, Ezgi Pelin, and Sahap Altınbas. "Investigation of Efficient Backup Tecniques To Reduce Late In Cloud Systems: A Modeling Study." Global Journal of Information Technology: Emerging Technologies 13, no. 1 (2023): 46–54. http://dx.doi.org/10.18844/gjit.v13i1.8863.

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From the formation stages of the information society to the present day, new developments have been experienced in many areas such as data formation, processing, storage and sharing of data in electronic environments. In this context, many new technological concepts have been included in our lives. When it comes to data storage environments, the concept of "Cloud Computing", which has been developing and increasing in popularity in recent years, comes to our minds. Cloud computing, with its known definition, is an internet-based technology service that provides access to the data stored on its

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Petracca, Matteo, Claudio Salvadori, Stefano Bocchino, and Paolo Pagano. "Error Resilient Video Streaming with BCH Code Protection in Wireless Sensor Networks." Journal of Communications Software and Systems 10, no. 1 (2014): 41. http://dx.doi.org/10.24138/jcomss.v10i1.139.

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Video streaming in Wireless Sensor Networks (WSNs) is a promising and challenging application for enabling high-value services. In such a context, the reduced amount ofavailable bandwidth, as well as the low-computational power available for acquiring and processing video frames, imposes the transmission of low resolution images at a low frame rate. Considering the aforementioned limitations, the amount of information carried by each video frame must be considered of utmost importance and preserved, as much as possible, against network losses that could introduce possible artifacts in the reco

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Giraldo Barrada, Jorge Enrique, Juan Camilo García Viana, John Edison Morales Galeano, and Emanuel Valencia Henáo. "Construction of metal transfer modes maps for an ER4130 filler metal in GMAW process." DYNA 87, no. 215 (2020): 126–35. http://dx.doi.org/10.15446/dyna.v87n215.86825.

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Metal transfer modes (MTMs) maps were constructed for GMAW process using ER4130 and 98%Ar-2%O2 shielding gas. There is no available MTMs maps for this filler metal which is used to obtain matching strength in welds of AISI 4130/4140 steels. These maps serve as tools to establish the MTM given a welding current and voltage, which is useful when an engineer is trying to qualify welding procedures according to construction codes. The maps were built analyzing current and voltage signals recorded at 5000 samples/second during bead-on-plate welds. The main advantage of this methodology is its simpl

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Okwudire, Chinedum, Sharankumar Huggi, Sagar Supe, Chengyang Huang, and Bowen Zeng. "Low-Level Control of 3D Printers from the Cloud: A Step toward 3D Printer Control as a Service." Inventions 3, no. 3 (2018): 56. http://dx.doi.org/10.3390/inventions3030056.

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Control as a Service (CaaS) is an emerging paradigm where low-level control of a device is moved from a local controller to the Cloud, and provided to the device as an on-demand service. Among its many benefits, CaaS gives the device access to advanced control algorithms which may not be executable on a local controller due to computational limitations. As a step toward 3D printer CaaS, this paper demonstrates the control of a 3D printer by streaming low-level stepper motor commands (as opposed to high-level G-codes) directly from the Cloud to the printer. The printer is located at the Univers

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Maheswari, K., and A. Balamurugan. "Voice over internet protocol codec performance in interactive streaming environment." i-manager's Journal on Communication Engineering and Systems 13, no. 1 (2024): 16. http://dx.doi.org/10.26634/jcs.13.1.20435.

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Voice over Internet Protocol (VoIP) is an interactive telecommunication technology that suggests shared, cooperative, and quality transactions in the form of communications over the internet. VoIP normally differs from traditional and conventional circuit-based networks in the form of a low rate because all the communication takes place through the internet. The user has to pay only for an internet connection. Real-time voice data transmission is very difficult when compared with ordinary text data transmission. A main challenge in telecom engineering is maintaining quality. The VoIP transmiss

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Shoucri, M., X. Lavocat-Dubuis, J. P. Matte, and F. Vidal. "Numerical study of ion acceleration and plasma jet formation in the interaction of an intense laser beam normally incident on an overdense plasma." Laser and Particle Beams 29, no. 3 (2011): 315–32. http://dx.doi.org/10.1017/s026303461100036x.

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AbstractWe present a numerical study of the acceleration of ions in the interaction of a high intensity circularly polarized laser beam normally incident on an overdense plasma target, and the subsequent formation of neutral plasma ejected toward the rear side of the target. We compare the results obtained from two different numerical codes. We use an Eulerian Vlasov code for the numerical solution of the one-dimensional relativistic Vlasov-Maxwell set of equations, for both electrons and ions, and a particle-in-cell code applied to the same problem. We consider the case when the laser free sp

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Goel, Ashvin, Charles Krasic, and Jonathan Walpole. "Low-latency adaptive streaming over tcp." ACM Transactions on Multimedia Computing, Communications, and Applications 4, no. 3 (2008): 1–20. http://dx.doi.org/10.1145/1386109.1386113.

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12

Evnitskaya, Natalia, and Ana Llinares. "(In)equity in CLIL programs?" AILA Review 35, no. 2 (2022): 227–49. http://dx.doi.org/10.1075/aila.22026.evn.

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Abstract This study explores issues of potential (in)equity in Content and Language Integrated Learning (CLIL) programs in bilingual secondary schools in the Madrid region (Spain). Based on their general L2 proficiency, students in grades 7 to 10 are streamed into either High Exposure (HE) or Low Exposure (LE) strands, with different degrees of exposure to CLIL. Although this system ensures that all students in a bilingual secondary school receive CLIL to a certain degree, recent voices have signaled the potential risk of fostering inequality among students by streaming within the program (Fer

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13

Maiya, S. V., Daniel J. Costello, and T. E. Fuja. "Low Latency Coding: Convolutional Codes vs. LDPC Codes." IEEE Transactions on Communications 60, no. 5 (2012): 1215–25. http://dx.doi.org/10.1109/tcomm.2012.042712.110189.

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Vincze, Miklós, Bence Biricz, Abdallah Benhamida, and Miklós Kozlovszky. "Low latency 3D image streaming in medicine." SYSTEM THEORY, CONTROL AND COMPUTING JOURNAL 3, no. 2 (2023): 20–26. http://dx.doi.org/10.52846/stccj.2023.3.2.53.

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3D visualization has been present in medicine for several decades, just think of the CT (Computer Tomography) imaging modality, which is capable of creating 3D images of the examined object by determining the radiation attenuation coefficient. In addition to CT equipment, there are many solutions capable of collecting and displaying various 3D data (MRI [Magnetic Resonance Imaging], PET [Positron Emission Tomography], OCT [Optical Computer Tomography]). In digital pathology, 3D visualization is not nearly as widespread as the previously mentioned solutions. One of the main reasons for this is

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Uddin, Syed, Michał Grega, Mikołaj Leszczuk, and Waqas ur Rahman. "Evaluating HAS and Low-Latency Streaming Algorithms for Enhanced QoE." Electronics 14, no. 13 (2025): 2587. https://doi.org/10.3390/electronics14132587.

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The demand for multimedia traffic over the Internet is exponentially growing. HTTP adaptive streaming (HAS) is the leading video delivery system that delivers high-quality video to the end user. The adaptive bitrate (ABR) algorithms running on the HTTP client select the highest feasible video quality by adjusting the quality according to the fluctuating network conditions. Recently, low-latency ABR algorithms have been introduced to reduce the end-to-end latency commonly experienced in HAS. However, a comprehensive study of the low-latency algorithms remains limited. This paper investigates th

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Wu, Dapeng, Linfeng Cui, Tong Tang, and Ruyan Wang. "Adaptive Bandwidth Prediction and Smoothing Glitches in Low-Latency Live Streaming." Security and Communication Networks 2022 (May 9, 2022): 1–13. http://dx.doi.org/10.1155/2022/4992957.

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HTTP adaptive streaming (HAS) technologies such as dynamic adaptive streaming over HTTP (DASH) and common media application format (CMAF) are now used extensively to deliver live streaming services to large numbers of viewers. However, in dynamic networks, inaccurate bandwidth prediction may result in the wrong request of bitrate, and short-term network fluctuations may produce glitches, causing unnecessary bitrate switching, thereby degrading clients' Quality of Experience (QoE). To tackle this, we propose adaptive bandwidth prediction and smoothing glitches in low-latency live streaming (cal

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Kinoshita, Toya, and Hiroyuki Hisamatsu. "Low Latency Live Streaming System with Congestion Control." Journal of Advances in Computer Networks 9, no. 1 (2021): 8–13. http://dx.doi.org/10.18178/jacn.2021.9.1.280.

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In recent years, the traffic for live streaming on the web has been increasing. The current live streaming methods that use MPEG-DASH or HLS are simple and scale easily to many clients using HTTP. However, they do not take into account the communication between the distributor and the viewer. As a result, latency between the distributor and the viewer is relatively high. Therefore, in this paper, we propose a low latency live streaming system on the web using WebRTC. Since WebRTC uses UDP, it does not have a congestion control mechanism. Depending on the network congestion, it is possible to s

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18

Psarakis, Kyriakos, George Christodoulou, Georgios Siachamis, Marios Fragkoulis, and Asterios Katsifodimos. "Styx: Transactional Stateful Functions on Streaming Dataflows." Proceedings of the ACM on Management of Data 3, no. 3 (2025): 1–28. https://doi.org/10.1145/3725363.

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Developing stateful cloud applications, such as low-latency workflows and microservices with strict consistency requirements, remains arduous for programmers. The Stateful Functions-as-a-Service (SFaaS) paradigm aims to serve these use cases. However, existing approaches provide weak transactional guarantees or perform expensive external state accesses requiring inefficient transactional protocols that increase execution latency. In this paper, we present Styx, a novel dataflow-based SFaaS runtime that executes serializable transactions consisting of stateful functions that form arbitrary call

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19

Celebi, Kerem C., Shannon K. T. Bailey, Micheal W. Burns, and Kunal Bansal. "Is Virtual Reality Streaming Ready for Remote Medical Education? Measuring Latency of Stereoscopic VR for Telementoring." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (2021): 757–61. http://dx.doi.org/10.1177/1071181321651332.

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Telementoring in healthcare education has been used successfully to teach technical skills and clinical reasoning when in-person instruction is not feasible; however, previous technology for telementoring had limitations such as narrow field-of-view and high latency. Novel virtual reality (VR) livestreaming technology may address issues in traditional 2-dimensional (2D) systems by expanding the field of view while streaming with low latency. Low latency streaming of video and audio is necessary for smooth communication between a medical specialist and remote trainees. If latency is low between

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Jiang, Yihan, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, and Pramod Viswanath. "LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks." IEEE Journal on Selected Areas in Information Theory 1, no. 1 (2020): 207–16. http://dx.doi.org/10.1109/jsait.2020.2988577.

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21

Sardana, Dhanraj. "Stream Rider: A Developer\'s Perspective on Live Streaming." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 2076–80. https://doi.org/10.22214/ijraset.2025.66742.

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This paper presents the development and analysis of a live streaming application designed to provide a seamless, lowlatency streaming experience. The project leverages modern web development frameworks and streaming technologies, including React for the frontend, Node.js for the backend, and MongoDB for efficient database management. To address challenges like scalability and latency reduction, the application integrates RTMP and HLS protocols with a robust architecture powered by cloud services and a Content Delivery Network (CDN). The system delivers real-time video streaming with interactiv

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Zhang, Juntan, Jonathan S. Yedidia, and Marc P. C. Fossorier. "Low-Latency Decoding of EG LDPC Codes." Journal of Lightwave Technology 25, no. 9 (2007): 2879–86. http://dx.doi.org/10.1109/jlt.2007.903311.

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23

Bichot, Guillaume, and Nicolas Le Scouarnec. "Server-Side Segment Selection for Low-Latency Streaming—S4S." SMPTE Motion Imaging Journal 130, no. 10 (2021): 50–56. http://dx.doi.org/10.5594/jmi.2021.3117125.

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24

Miao, Haoran, Gaofeng Cheng, and Pengyuan Zhang. "Low‐latency transformer model for streaming automatic speech recognition." Electronics Letters 58, no. 1 (2021): 44–46. http://dx.doi.org/10.1049/ell2.12349.

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25

Wu, Eric Hsiao-Kuang, Ming-I. Hsieh, and Hsu-Te Lai. "Low latency and efficient packet scheduling for streaming applications." Computer Communications 29, no. 9 (2006): 1413–21. http://dx.doi.org/10.1016/j.comcom.2005.09.001.

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26

Thukivakam, Jyothiprakash Reddy, and Sayanna Chandula. "LOW LATENCY AV STREAMING USING H.264 AND RTP." INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND MANAGEMENT INFORMATION SYSTEMS 16, no. 2 (2025): 1624–43. https://doi.org/10.34218/ijitmis_16_02_102.

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Das, Abhishek, and Nur A. Touba. "A Single Error Correcting Code with One-Step Group Partitioned Decoding Based on Shared Majority-Vote." Electronics 9, no. 5 (2020): 709. http://dx.doi.org/10.3390/electronics9050709.

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Technology scaling has led to an increase in density and capacity of on-chip caches. This has enabled higher throughput by enabling more low latency memory transfers. With the reduction in size of SRAMs and development of emerging technologies, e.g., STT-MRAM, for on-chip cache memories, reliability of such memories becomes a major concern. Traditional error correcting codes, e.g., Hamming codes and orthogonal Latin square codes, either suffer from high decoding latency, which leads to lower overall throughput, or high memory overhead. In this paper, a new single error correcting code based on

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28

Pham Khac Hoan, Lai Tien De, Hoang Van Dung, and Vu Son Ha. "An efficient decoding of RS-BCH product codes using hybrid root-finding of the polynomial over finite fields." Journal of Military Science and Technology, CSCE8 (December 30, 2024): 14–23. https://doi.org/10.54939/1859-1043.j.mst.csce8.2024.14-23.

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This paper proposes an efficient decoding method of product codes with component codes being BCH and Reed-Solomon codes characterized by low complexity and latency achieved through parallel computation and the hybrid approach to solving the error locator polynomial over finite fields. The proposed method can be implemented on low-cost hardware platforms, making it suitable for applications in communication systems that highly require reliability and latency.

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Saidy, Lamin, Abraham Ayodeji Abayomi, Abel Chukwuemeke Uzoka, and Bolaji Iyanu Adekunle. "The Distributed Media Optimization Engine (DMOE): A Cloud-Native Framework for Scalable and Low-Latency Streaming on Smart Devices." International Journal of Multidisciplinary Research and Growth Evaluation 4, no. 3 (2023): 1131–35. https://doi.org/10.54660/.ijmrge.2023.4.3.1131-1135.

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The rapid proliferation of smart consumer devices and the increasing demand for high-quality media streaming have exposed significant limitations in traditional centralized delivery systems, including latency, bandwidth bottlenecks, and inconsistent quality of experience. This paper introduces the Distributed Media Optimization Engine (DMOE), a cloud-native framework designed to overcome these challenges through a modular, distributed architecture that leverages edge computing, intelligent load balancing, and real-time analytics. DMOE incorporates edge nodes for localized content processing, a

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Minja, Aleksandar, Dušan Dobromirov, and Vojin Šenk. "Bidirectional stack decoding of polar codes." Vojnotehnicki glasnik 69, no. 2 (2021): 405–15. http://dx.doi.org/10.5937/vojtehg69-29858.

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Introduction/purpose: The paper introduces a reduced latency stack decoding algorithm of polar codes, inspired by the bidirectional stack decoding of convolutional codes and based on the folding technique. Methods: The stack decoding algorithm (also known as stack search) that is useful for decoding tree codes, the list decoding technique introduced by Peter Elias and the folding technique for polar codes which is used to reduce the latency of the decoding algorithm. The simulation was done using the Monte Carlo procedure. Results: A new polar code decoding algorithm, suitable for parallel imp

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van der Hooft, Jeroen, Cedric De Boom, Stefano Petrangeli, Tim Wauters, and Filip De Turck. "Performance Characterization of Low-Latency Adaptive Streaming From Video Portals." IEEE Access 6 (2018): 43039–55. http://dx.doi.org/10.1109/access.2018.2863033.

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Liu, Leslie S., and Roger Zimmermann. "Adaptive low-latency peer-to-peer streaming and its application." Multimedia Systems 11, no. 6 (2006): 497–512. http://dx.doi.org/10.1007/s00530-006-0030-4.

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El-Abbasy, Karim, Ramy Taki Eldin, Salwa El Ramly, and Bassant Abdelhamid. "Optimized Polar Codes as Forward Error Correction Coding for Digital Video Broadcasting Systems." Electronics 10, no. 17 (2021): 2152. http://dx.doi.org/10.3390/electronics10172152.

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Polar codes are featured by their low encoding/decoding complexity for symmetric binary input-discrete memoryless channels. Recently, flexible generic Successive Cancellation List (SCL) decoders for polar codes were proposed to provide different throughput, latency, and decoding performances. In this paper, we propose to use polar codes with flexible fast-adaptive SCL decoders in Digital Video Broadcasting (DVB) systems to meet the growing demand for more bitrates. In addition, they can provide more interactive services with less latency and more throughput. First, we start with the constructi

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Hu, Liang, Rui Sun, Feng Wang, Xiuhong Fei, and Kuo Zhao. "A Stream Processing System for Multisource Heterogeneous Sensor Data." Journal of Sensors 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/4287834.

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With the rapid development of the Internet of Things (IoT), a variety of sensor data are generated around everyone’s life. New research perspective regarding the streaming sensor data processing of the IoT has been raised as a hot research topic that is precisely the theme of this paper. Our study serves to provide guidance regarding the practical aspects of the IoT. Such guidance is rarely mentioned in the current research in which the focus has been more on theory and less on issues describing how to set up a practical system. In our study, we employ numerous open source projects to establis

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Lobov, Igor V., and Vladislav G. Gotman. "LOW LATENCY SEAMLESS LIVE TCP-STREAMING BY MEANS OF PROGRESSIVE DOWNLOAD METHOD." T-Comm 15, no. 1 (2021): 11–18. http://dx.doi.org/10.36724/2072-8735-2021-15-1-11-18.

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The article discusses the client-server technology for organizing seamless live TCP-streaming with the use of progressive download method. Main factors which have a major impact on the overall playback latency have been identified. A study on the most important factor – the size of the client’s receiving buffer Lbuf – was carried out. It was found that the hypothetical display time of the last frame taken consists of two components: 1) the general instability, which has the character of a pronounced “band of instability”, and 2) episodic “drawdowns” associated with spontaneous media flow reten

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Zhou, Qihua, Ruibin Li, Jingcai Guo, et al. "DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 1 (2025): 1192–200. https://doi.org/10.1609/aaai.v39i1.32107.

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Recent years have witnessed the rise of Neural-enhanced Video Streaming (NeVS), which integrates neural restoration models into video codecs for higher compression-restoration performance. Despite its benefit, existing work has not well explored the full potential of NeVS paradigm, due to: (1) post-streaming restoration by decoder while lacking the proactive collaboration of encoder, (2) end-to-end optimization based on conventional rate-distortion theory, which has been verified that low distortion is not always a synonym for high perceptual quality, and (3) coupled design for domain-specific

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Researcher. "ADVANCEMENTS IN REAL-TIME STREAM PROCESSING: A COMPARATIVE STUDY OF APACHE FLINK, SPARK STREAMING, AND KAFKA STREAMS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 631–39. https://doi.org/10.5281/zenodo.14216515.

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This article presents a comprehensive comparative analysis of three leading stream processing platforms: Apache Flink, Spark Streaming, and Kafka Streams, examining their architectural approaches, performance characteristics, and operational considerations in real-time data processing scenarios. Through extensive benchmarking and evaluation, we investigated these platforms across multiple dimensions, including processing latency, throughput capacity, resource utilization, and operational complexity. The article reveals that Apache Flink demonstrates superior performance in low-latency sce

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Mahendra Suthar, Rui Dai, Junjie Zhang, Sasu Tarkoma, and Ian F. Akyildiz. "Multi-codec rate adaptive point cloud streaming for holographic-type communication." ITU Journal on Future and Evolving Technologies 4, no. 4 (2023): 590–603. http://dx.doi.org/10.52953/bdsp2843.

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Point cloud videos play a crucial role in immersive applications enabled by holographic-type communication, which has been identified as an important service for 6G and beyond wireless systems and the metaverse. The significant volume of point cloud video demands efficient compression and transmission techniques to support the Quality of Experience (QoE) requirements of real-time immersive applications. A few Point Cloud Compression (PCC) techniques, such as MPEG PCC and Draco, have emerged in recent years, and studies have shown that each technique has its strengths and weaknesses under diffe

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Reddy Goli, Harsha Vardhan. "Real-Time Analytics with Hadoop: Integrating Streaming Engines for Performance Gains." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 2 (2020): 1347–58. https://doi.org/10.61841/turcomat.v11i2.15250.

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The rising demand for real-time data analytics in domains such as the Internet of Things (IoT) and telecommunications necessitates hybrid big data architectures that seamlessly combine batch and stream processing. This study investigates the integration of Hadoop with real-time streaming engines, specifically Apache Storm and Apache Flink, to address the challenges of low-latency analytics within traditional big data frameworks. We analyze performance trade-offs, latency mitigation techniques, and fault tolerance mechanisms involved in such hybrid deployments. Through benchmarking and architec

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Ravi, Shankar Koppula. "Incremental Processing with Structured Streaming." European Journal of Advances in Engineering and Technology 6, no. 11 (2019): 64–71. https://doi.org/10.5281/zenodo.11213881.

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This paper presents a study on the utilization of Structured Streaming, which is a stream processing framework that uses the Apache Spark SQL engine. The study focuses on transitioning from traditional batch processing to stream processing in order to handle real-time datasets that have no size limitations. Structured Streaming provides a user-friendly, low-latency, and resilient approach to processing streaming data, addressing common issues like out-of-order data, managing states, and ensuring fault tolerance. It operates on a data model that treats data as a continuously expanding table and

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Li, Wenjie, Jing Tian, Jun Lin, and Zhongfeng Wang. "Modified GII-BCH Codes for Low-Complexity and Low-Latency Encoders." IEEE Communications Letters 23, no. 5 (2019): 785–88. http://dx.doi.org/10.1109/lcomm.2019.2908867.

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Jali, N., P. Muralidhar, and S. R. Patri. "Low Latency SC Decoder Architecture for Interleaved Polar Codes." Radioengineering 31, no. 3 (2022): 398–405. http://dx.doi.org/10.13164/re.2022.0398.

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Liu, Jingjing, and Rodrigo C. de Lamare. "Low-Latency Reweighted Belief Propagation Decoding for LDPC Codes." IEEE Communications Letters 16, no. 10 (2012): 1660–63. http://dx.doi.org/10.1109/lcomm.2012.080312.121307.

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Qin, Kangjian, and Zhaoyang Zhang. "Low-Latency Adaptive Ordered Statistic Decoding of Polar Codes." IEEE Access 7 (2019): 134226–35. http://dx.doi.org/10.1109/access.2019.2940525.

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R Venkata Krishna, Para Keerti, Hamed Ali Khan, S Adithya Reddy, Syed Mohammed Hussain, and Shaik Saif Ali. "Mitigating Latency in Cloud Game Streaming with Control Assistance." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 1074–83. https://doi.org/10.47392/irjaeh.2025.0154.

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Cloud game streaming has emerged as a transformative technology, democratizing access to graphically intensive games by shifting the computational burden from client devices to powerful cloud servers. This paradigm shifts enables gameplay on a diverse range of devices, including smartphones, tablets, and low-powered PCs, eliminating the need for expensive gaming hardware. Furthermore, it simplifies game development by allowing developers to target a single, unified cloud platform, rather than managing compatibility across a multitude of hardware configurations. However, cloud gaming faces a cr

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Zhang, Bo, Thiago Teixeira, and Yuriy Reznik. "Performance of Low-Latency DASH and HLS Streaming in Mobile Networks." SMPTE Motion Imaging Journal 131, no. 7 (2022): 26–34. http://dx.doi.org/10.5594/jmi.2022.3180777.

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Xiao, Yilin, Liang Xiao, Zefang Lv, Guohang Niu, Yuzhen Ding, and Wenyuan Xu. "Learning-Based Low-Latency VIoT Video Streaming Against Jamming and Interference." IEEE Wireless Communications 28, no. 4 (2021): 12–18. http://dx.doi.org/10.1109/mwc.101.2000474.

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Yahia, Mariem Ben, Yannick Le Louedec, Gwendal Simon, Loutfi Nuaymi, and Xavier Corbillon. "HTTP/2-based Frame Discarding for Low-Latency Adaptive Video Streaming." ACM Transactions on Multimedia Computing, Communications, and Applications 15, no. 1 (2019): 1–23. http://dx.doi.org/10.1145/3280854.

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Marai, Oussama El, and Tarik Taleb. "Smooth and Low Latency Video Streaming for Autonomous Cars During Handover." IEEE Network 34, no. 6 (2020): 302–9. http://dx.doi.org/10.1109/mnet.011.2000258.

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Gazi, Orhan, and Ahmed A. S. Al-Kattan. "Low Latency Hybrid Structures Involving Convolutional Product like Codes and Space Time Codes." Wireless Personal Communications 94, no. 3 (2016): 745–54. http://dx.doi.org/10.1007/s11277-016-3648-3.

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