InFRA: Interference-Aware PHY/FEC Rate Adaptation for Video Multicast over WLAN

Shin, Yeonchul; Lee, Gyujin; Choi, Junyoung; Koo, Jonghoe; Lee, Sung-Ju; Choi, Sunghyun

doi:10.1109/sahcn.2017.7964909

Cited by 9 publications

(5 citation statements)

References 23 publications

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“…Similarly, InFRA [23] tolerates some packet loss (PDR of 99% on 95% of the receivers). For achieving this, InFRA includes a FEC mechanism that adapts the code rate dynamically.…”

Section: Multicast Transmission Rate Selection In 80211mentioning

confidence: 99%

Transmission Rate Sampling and Selection for Reliable Wireless Multicast

Geithner

Sivrikaya

2020

Wireless Communications and Mobile Computing

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The multicast communication concept offers a scalable and efficient method for many classes of applications; however, its potential remains largely unexploited when it comes to link-layer multicasting in wireless local area networks. The fundamental lacking feature for this is a transmission rate control mechanism that offers higher transmission performance and lower channel utilization, while ensuring the reliability of wireless multicast transmissions. This is much harder to achieve in a scalable manner for multicast when compared with unicast transmissions, which employs explicit acknowledgment mechanisms for rate control. This article introduces EWRiM, a reliable multicast transmission rate control protocol for IEEE 802.11 networks. It adapts the transmission rate sampling concept to multicast through an aggregated receiver feedback scheme and combines it with a sliding window forward error correction (FEC) mechanism for ensuring reliability at the link layer. An inherent novelty of EWRiM is the close interaction of its FEC and transmission rate selection components to address the performance-reliability tradeoff in multicast communications. The performance of EWRiM was tested in three scenarios with intrinsically different traffic patterns; namely, music streaming scenario, large data frame delivery scenario, and an IoT scenario with frequent distribution of small data packets. Evaluation results demonstrate that the proposed approach adapts well to all of these realistic multicast traffic scenarios and provides significant improvements over the legacy multicast- and unicast-based transmissions.

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“…Similarly, InFRA [23] tolerates some packet loss (PDR of 99% on 95% of the receivers). For achieving this, InFRA includes a FEC mechanism that adapts the code rate dynamically.…”

Section: Multicast Transmission Rate Selection In 80211mentioning

confidence: 99%

Transmission Rate Sampling and Selection for Reliable Wireless Multicast

Geithner

Sivrikaya

2020

Wireless Communications and Mobile Computing

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“…Using a feedback mechanism provides the ability of adjusting the FEC parameters during the ongoing transmission. InFRA [4], for example, uses an FEC layer within the 802.11 MAC with dynamic codec adaption based on explicit receiver feedback information. The feedback-driven sliding window of ASWRNC [13] can be considered as an adaptive FEC mechanism, since the sliding window size depends on the reported packet reception.…”

Section: B Adaptive Packet-level Fecmentioning

confidence: 99%

“…Based on the assumptions that such a video stream can tolerate a certain level of packet loss and that serving most receivers rather than all is sufficient, the constraints for the rate selection can be relaxed. This approach is utilized in MuDRA [28] in combination with a leader based concept as well as in InFRA [4] by using the Received Signal Strength Indicator (RSSI) as decision metric. InFRA uses and internal FEC mechanism in addition and adapts the coding scheme as well, based on the estimated reason of occurred packet losses.…”

Section: Mutlicast Transmission Rate Controlmentioning

confidence: 99%

“…To the best of our knowledge, there is no comparable work in the literature that jointly employs an adaptive FEC mechanism with dynamic link rate selection, with the single exception of InFRA [4]. However, unlike our work, InFRA aims at a special application scenario and follows different concepts for selecting a transmission rate and FEC codec.…”

Section: Introductionmentioning

confidence: 99%

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Joint Link Rate Selection and Adaptive Forward Error Correction for High-Rate Wireless Multicast

Geithner

Sivrikaya²,

Albayrak

2022

IEEE Open J. Commun. Soc.

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Multicast communication over wireless networks has many potential applications, such as real-time audiovisual content distribution or digital signage systems with multiple remote terminals. However, today's common 802.11 networks cannot fully support such applications at the link layer due to the technical challenges in achieving both high transmission rate and high reliability for multicast data transfers. Those challenges primarily emerge from the inapplicability of immediate acknowledgment mechanisms of unicast transmissions to the multicast case and the need for finding a common transmission rate for all receivers with diverse channel conditions. The research literature in this domain mainly addresses the problem at the higher layers of the protocol stack. In this article, we present a novel approach that combines wireless link rate selection with an adaptive packet-level Forward Error Correction (FEC) mechanism in order to achieve high-rate and highly reliable multicast in 802.11 wireless networks. The integration of FEC into the 802.11 MAC layer allows direct interaction between the transmission rate and the coding scheme. As a result, potential packet losses caused by higher link rates can be compensated by the adjustable redundancy provided by FEC. In combination with an aggregated receiver feedback mechanism, this yields improved transmission efficiency and reliability for wireless multicast. We investigate this approach in a simulation environment under a realistic wireless channel model in various application scenarios with up to 50 receivers. The results represent significant performance improvements, in terms of throughput, channel utilization, and packet loss, over the state-of-the-art methods for reliable wireless multicast.

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“…In literature, works have studied the performance of MAC aggregation schemes (Daldoul et al, 2011;Charfi et al, 2017) and AL-FEC based on Raptor codes for multicast video streaming over IEEE 802.11 (Shin et al, 2017;Osunkunle, 2018;Bulut, 2020). However, as far as author`s knowledge, there is no work that considers the IEEE 802.11 system performance by employing both RaptorQ at AL and frame aggregation mechanism at the MAC.…”

Section: Introductionmentioning

confidence: 99%

IEEE 802.11n/ac Üzerinden Çoklu Video Yayını Analizi ve Değerlendirilmesi

Bulut¹

2020

European Journal of Science and Technology

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There is an ever-growing interest for video applications. It is well-known that video applications have very stringent quality of service (QoS) requirements and require high data rates. To meet ever growing demands for mobile video streaming applications and stringent QoS requirements, it is required to optimise the current networks. IEEE 802.11 is one of the most widely deployed networks in the world. Therefore, this paper investigates the performance of multicast video streaming over IEEE 802.11n/ac in a mobile outdoor scenario. To this end, an end-to-end system level simulator is developed to evaluate the performance of the perceived video quality at the receiver in terms of peak signal to noise ratio (PSNR) and resource efficiency in terms of total transmission times for different application layer-forward error correction (AL-FEC) and medium access control (MAC) layer parameters. Results show that without AL-FEC protection the legacy IEEE 802.11n/ac provides very poor quality of experience. However, the perceived video quality can be significantly improved by adding some extra repair symbols. Since video applications have very challenging QoS requirements, changing only MAC parameters are unable to meet these QoS requirements thus additional AL-FEC protection is required. Moreover, it is observed that with the use of the frame aggregate mechanism at the MAC layer, the total transmission times can be significantly reduced and hence the resource consumptions.

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InFRA: Interference-Aware PHY/FEC Rate Adaptation for Video Multicast over WLAN

Cited by 9 publications

References 23 publications

Transmission Rate Sampling and Selection for Reliable Wireless Multicast

Transmission Rate Sampling and Selection for Reliable Wireless Multicast

Joint Link Rate Selection and Adaptive Forward Error Correction for High-Rate Wireless Multicast

IEEE 802.11n/ac Üzerinden Çoklu Video Yayını Analizi ve Değerlendirilmesi

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