Integrating HEC with circuit breakers and multipath RTP to improve RTC media quality

Herrero, Rolando

doi:10.1007/s11235-016-0169-z

Cited by 14 publications

(4 citation statements)

References 20 publications

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“…There exist other solutions for improving QoE in RTC, such as rate adaptation and control like QARC [35] and Proteus [60], hybrid error correction [32], and multipath [67]. In HTTP adaptive streaming, there exist multiple studies on bitrate adaptation [16] that leverage different approaches, such as software-defined networking [14], network-assisted streaming [17], client-driven optimization [36], [54], control theory [63], queuing theory [61], machine learning [45], [33], [15], scheduling [40] and game theory [12].…”

Section: B Bitrate Selection Optimizationmentioning

confidence: 99%

BoB: Bandwidth Prediction for Real-Time Communications Using Heuristic and Reinforcement Learning

Bentaleb

Akcay

Lim

et al. 2023

IEEE Trans. Multimedia

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Bandwidth prediction is critical in any Real-time Communication (RTC) service or application. This component decides how much media data can be sent in real time. Subsequently, the video and audio encoder dynamically adapts the bitrate to achieve the best quality without congesting the network and causing packets to be lost or delayed. To date, several RTC services have deployed the heuristic-based Google Congestion Control (GCC), which performs well under certain circumstances and falls short in some others. In this paper, we leverage the advancements in reinforcement learning and propose BoB (Bang-on-Bandwidth) -a hybrid bandwidth predictor for RTC. At the beginning of the RTC session, BoB uses a heuristic-based approach. It then switches to a learning-based approach. BoB predicts the available bandwidth accurately and improves bandwidth utilization under diverse network conditions compared to the two winning solutions of the ACM MMSys'21 grand challenge on bandwidth estimation in RTC. An opensource implementation of BoB is publicly available for further testing and research.

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Section: B Bitrate Selection Optimizationmentioning

confidence: 99%

BoB: Bandwidth Prediction for Real-Time Communications Using Heuristic and Reinforcement Learning

Bentaleb

Akcay

Lim

et al. 2023

IEEE Trans. Multimedia

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“…(3) Higher reliability: By transferring the indoor hotspot traffic to the relay, the traffic congestion of the BS can be reduced, thereby making the BS more reliable. Moreover, the offloading of traffic from the BS to the relay improves the overall network performance and service [ 7 ].…”

Section: Related Workmentioning

confidence: 99%

Application of edge computing and cloud service data system for doctors' psychological reconstruction after the epidemic

Zhai

2021

Wireless Netw

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In response to the problems that the new crown pneumonia epidemic may bring to doctors in schools of Chinese medicine, such as information overload, traumatic stress, changes in mentality, crisis of trust, safety when going abroad, and employment choices, explain from the perspective of medical teachers in Chinese medicine schools. The understanding of the epidemic and the major events during the epidemic, combined with the experience of the psychological impact of the past epidemic on the doctors in the school, to highlight the outstanding contributions of medical staff in the fight against the epidemic, and to emphasize the strong leadership of the party and the unity of the people during the fight against the epidemic. The huge role played by Chinese medicine in the fight against the epidemic is the principle. In recent years, cloud computing technology has been continuously developed and improved. Traditional infrastructure as a service has been unable to meet users' needs for cloud computing delivery capabilities. They hope that more and more traditional IT software will be delivered in the form of cloud services. This paper mainly studies the utility optimization and stable matching strategy of UDRN based on EH and limited character input, divides the nodes into multiple clusters, and implements the utility optimization strategy within the clusters. Model users and relays as energy buyers and energy sellers. First, when users choose relays as their candidates, the golden section method is used to obtain the best relay power to maximize user utility. Secondly, based on the principle of maximizing the utility of matching, a mutual preference matrix between users and relays is established. Finally, based on the mutual preference matrix, an improved UDRN stable matching algorithm is proposed through the less complex GS algorithm. This algorithm will play a great role in the psychological reconstruction of doctors after the epidemic.

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“…One of the characteristics of wireless RTIoT networks is that they are affected by dynamic multipath fading that is typically modeled by means of a 2‐state Markov process. () Essentially, the channel is either in a low loss (L) or in a high loss (H) state, as shown in Figure . As expected, when comparing packet loss in both states, that in the low‐loss state is much lower than that in the high‐loss state.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Encapsulation of real‐time IoT CoAP traffic

Herrero

2018

Trans Emerging Tel Tech

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The Constrained Application Protocol (CoAP) has been instrumental to the deployment of wireless sensors and actuators in Internet of Things low‐power low‐rate networks. Typically, a large number of such devices interact with a single gateway that routes traffic to servers where complex processing is performed. CoAP provides a highly efficient end‐to‐end mechanism that relies on the User Datagram Protocol for transport, and it is characterized by both low throughput and low latency. Because Internet firewalls typically filter User Datagram Protocol traffic as it traverses from gateways to servers, the use of Transmission Control Protocol (TCP) encapsulation becomes a viable alternative. This solution, however, is negatively affected by network packet loss that, due to TCP inherent retransmissions, severely degrades latency, reducing system responsibility. In this paper, we analyze the effect of TCP‐encapsulated CoAP and propose a mechanism that overcomes these limitations without having to change network topologies or modifying protocol functionality.

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Integrating HEC with circuit breakers and multipath RTP to improve RTC media quality

Cited by 14 publications

References 20 publications

BoB: Bandwidth Prediction for Real-Time Communications Using Heuristic and Reinforcement Learning

BoB: Bandwidth Prediction for Real-Time Communications Using Heuristic and Reinforcement Learning

Application of edge computing and cloud service data system for doctors' psychological reconstruction after the epidemic

Encapsulation of real‐time IoT CoAP traffic

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