Cross-layer modeling of wireless channels for data-link and IP layer performance evaluation

Moltchanov, Dmitri; Koucheryavy, Yevgeni; Harju, Jarmo

doi:10.1016/j.comcom.2005.08.005

Cited by 32 publications

(13 citation statements)

References 21 publications

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“…In recent years, error control schemes based on Automatic Repeat-reQuest (ARQ) and Forward Error Correction (FEC) have been designed to correct video errors (Le and Hossain 2008;Weng et al 2008;Anantha et al 2007;Choi and Shin 2007). Recent literature has revealed that employing FEC on corrupted packets yields better bandwidth utilization and lower delay than with ARQ, and thus FEC has been extensively used to increase error resilience in multimedia communications (Yu et al 2008;Ha et al 2007;Khayam et al 2007;Moltchanov et al 2006). However, FEC introduces extra bandwidth overhead, therefore the tradeoff between bandwidth utilization and the wireless video Quality of Service (QoS) has become an inevitable and important issue.…”

Section: Introductionmentioning

confidence: 98%

Adaptive FEC algorithm based on prediction of video quality and bandwidth utilization ratio

Feng

Chi

et al. 2010

J Ambient Intell Human Comput

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In this paper, a channel adaptive FEC algorithm is proposed which balances the trade-off between the QoS of video transmission and the bandwidth utilization ratio in wireless IP networks. Our algorithm can dynamically adjust to a suboptimal number of FEC redundant packets to cater to the time-varying wireless channel. For the sake of obtaining the suboptimal amount of FEC redundant packets, we derive two analytical models, one is the playable frame rate in MPEG video stream, another is the effective utilization ratio of FEC. Based on these analytical models, a suboptimal value of redundant packets, which makes both the quality of video stream and the effective utilization ratio of FEC approximate their maximum, is calculated by predicting the quality of video stream and effective utilization ratio of FEC under different network conditions (characterized by packet loss probability in this paper). The simulation results indicate that the QoS of wireless video transmission and the bandwidth utilization ratio are improved by employing the proposed algorithm.

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Section: Introductionmentioning

confidence: 98%

Adaptive FEC algorithm based on prediction of video quality and bandwidth utilization ratio

Feng

Chi

et al. 2010

J Ambient Intell Human Comput

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“…For broadband wired links, which usually transport traffic with a certain degree of aggregation, the batch extension of MAP rather than MAP itself is normally proposed as the appropriate model [30]. Nonetheless, for wireless links or when traffic comes from a single source, the MAP has proven to be sufficiently general [31,32]. Therefore, in our case we can safely restrict ourselves to the MAP.…”

Section: Characteristics Of the Channelmentioning

confidence: 99%

Discrete time analysis of cognitive radio networks with imperfect sensing and saturated source of secondary users

Alfa

Pla

Martínez-Bauset

et al. 2016

Computer Communications

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Sensing is one of the most challenging issues in cognitive radio networks. Selection of sensing parameters raises several tradeoffs between spectral efficiency, energy efficiency and interference caused to primary users (PUs). In this paper we provide representative mathematical models that can be used to analyze sensing strategies under a wide range of conditions. The activity of PUs in a licensed channel is modeled as a sequence of busy and idle periods, which are represented as alternating Markov phase renewal processes. The representation of the secondary users (SUs) behavior is also largely general: the duration of transmissions, sensing periods and the intervals between consecutive sensing periods are modeled by phase type distributions, which constitute a very versatile class of distributions. Expressions for several key performance measures in cognitive radio networks are obtained from the analysis of the model. Most notably, we derive the distribution of the length of an effective white space; the distributions of the waiting times until the SU transmits a given amount of data, through several transmission epochs or uninterruptedly; and the goodput when an interrupted SU transmission has to be restarted from the beginning due to the presence of a PU.

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“…For example, measurements of Gnutella P2P system carried out in 2000 demonstrated that around 75% of its users are in free-ride mode, i.e. they do not upload any files [77]. Similarly to scheduling strategies all currently available mechanisms have been originally proposed for file sharing systems first.…”

Section: Incentive Mechanismsmentioning

confidence: 99%

Service quality in P2P streaming systems

Moltchanov

2011

Computer Science Review

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Cross-layer modeling of wireless channels for data-link and IP layer performance evaluation

Cited by 32 publications

References 21 publications

Adaptive FEC algorithm based on prediction of video quality and bandwidth utilization ratio

Adaptive FEC algorithm based on prediction of video quality and bandwidth utilization ratio

Discrete time analysis of cognitive radio networks with imperfect sensing and saturated source of secondary users

Service quality in P2P streaming systems

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