Audio quality in lossy networks for media‐specific forward error correction schemes

Inoie, Atsushi

doi:10.1002/dac.2361

Cited by 9 publications

(12 citation statements)

References 18 publications

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“…Different from the previous methods, it is a great progress that the Vegas [16][17][18][19][20] avoids the occurrence of congestion by detecting the network bandwidth, and the practical application proves that the effect is also very well. Vegas avoids the occurrence of congestion by detecting the network bandwidth.…”

Section: Tcp Vegas (Tcpv)mentioning

confidence: 99%

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Novel Quick Start (QS) method for optimization of TCP

et al. 2015

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With the development of Internet, various kinds of new applications appear constantly. They all have high requirements to the time delay, throughput, especially strong real-time applications such as mobile monitoring, video calls. The satellite network in Navigation Satellite System, which is necessary for the mobile monitoring, has many disadvantages such as asymmetric bandwidth, unstable network, high bit error rate and so on. This is a new challenge to the existing congestion control method. In order to improve the performance of congestion control mechanism, we put forward TCP-QS (Quick Start) from the TCP protocol control in this paper. TCP-QS algorithm mainly optimize the slow start stage. At the beginning of the connection, the value of parameter cwnd is set as a larger value according to the detected network bandwidth in which way, the time of the slow start stage is shortened during the transmission, and is adjusted the value of parameter ssthresh dynamically according to the change of network. When packet loss occurs, it takes different methods according to the different reasons.

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Section: Tcp Vegas (Tcpv)mentioning

confidence: 99%

“…Not only high bandwidth and low delay, but also low packet loss rate and low jitter are demanded. Poor stability, huge delay and high packet loss rate of the satellite network have brought great challenges to congestion control [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Novel Quick Start (QS) method for optimization of TCP

et al. 2015

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“…The distribution of SINR for both access methods will be explored exhaustively in the rest of this section. Once the distribution of SINR has been achieved, other performance can be easily achieved [22,23], such as the traffic analysis of Skype [24] and VoIP [25].…”

Section: Distribution Of Signal-to-interference-plus-noise Ratiomentioning

confidence: 99%

Analysis of accessing to the nearest and to the strongest base station in femtocell networks

Zhang

Liu

Shi

2014

Int J Communication

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SUMMARYThe deployment of femtocells can effectively improve the capacity of cellular networks without significant increase in the network management costs. Femtocell base stations are usually installed by users, which poses unique challenges for future mobile communication standards. The randomness of the locations of femtocells brings us many difficulties to analyze and compare. In this paper, we explore the performance on two different access methods under Rayleigh fading channel: accessing to the nearest and accessing to the strongest femtocell base station. Two performance indexes are of most interest in this paper: how the different path loss exponents and femtocell densities affect the difference of performance between the two different access methods. In the first part of this paper, the distributions of received strength for both access methods are achieved, in which we elaborate the characteristics of received signal strength including the cumulative distribution and the median signal strength. In the second part, we explore the characteristic of SINR distribution, which can be interpreted as the probability of coverage. This paper provides detailed illustrations about how performance changes for these two different access methods under Rayleigh fading channel. All results are mathematically tractable.

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“…In the existing FEC technique, the sender side will generate some redundant packets via the FEC encoder, and they will be transmitted along with the source packets. For delay constraints of video transmission applications [3,4,6], the FEC is a better choice than ARQ as it has lower end-to-end delay. Compared with FEC, the automatic repeat request (ARQ) has addition processing delay since the reliability of transmission is ensured by means of retransmitting lost data through an acknowledgment mechanism [5].…”

Section: Introductionmentioning

confidence: 99%

“…Compared with FEC, the automatic repeat request (ARQ) has addition processing delay since the reliability of transmission is ensured by means of retransmitting lost data through an acknowledgment mechanism [5]. For delay constraints of video transmission applications [3,4,6], the FEC is a better choice than ARQ as it has lower end-to-end delay. Moreover, an alternative approach to achieving better video quality degradation in processing losses is to use unequal error protection (UEP), which differentiates the FEC protection level for prioritized video data [7].…”

Section: Introductionmentioning

confidence: 99%

Performance modeling of FEC‐based unequal error protection for H.264/AVC video streaming over burst‐loss channels

Kuo

Shieh

Hwang

et al. 2014

Int J Communication

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Unequal error protection systems are a popular technique for video streaming. Forward error correction (FEC) is one of error control techniques to improve the quality of video streaming over lossy channels. Moreover, frame-level FEC techniques have been proposed for video streaming because of different priority video frames within the transmission rate constraint on a Bernoulli channel. However, various communication and storage systems are likely corrupted by bursts of noise in the current wireless behavior. If the burst losses go beyond the protection capacity of FEC, the efficacy of FEC can be degraded. Therefore, our proposed model allows an assessment of the perceived quality of H.264/AVC video streaming over bursty channels, and is validated by simulation experiments on the NS-2 network simulator at a given estimate of the packet loss ratio and average burst length. The results suggest a useful reference in designing the FEC scheme for video applications, and as the video coding and channel parameters are given, the proposed model can provide a more accurate evaluation tool for video streaming over bursty channels and help to evaluate the impact of FEC performance on different burst-loss parameters.

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Audio quality in lossy networks for media‐specific forward error correction schemes

Cited by 9 publications

References 18 publications

Novel Quick Start (QS) method for optimization of TCP

Novel Quick Start (QS) method for optimization of TCP

Analysis of accessing to the nearest and to the strongest base station in femtocell networks

Performance modeling of FEC‐based unequal error protection for H.264/AVC video streaming over burst‐loss channels

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