2019
DOI: 10.1109/tvt.2019.2934562
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Multirate Packet Delivery in Heterogeneous Broadcast Networks

Abstract: In heterogeneous packet erasure networks, where the capacities of the channels are different, it is important that each user can receive packets with respect to the quality of its channel, which is known as multirate packet delivery. In this paper, we provide an in-depth analysis of a previously proposed non-block-based network coding scheme in the literature and show analytically and via simulations for the first time, that it can achieve multirate packet delivery. Using acknowledgments from each user, the us… Show more

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Cited by 4 publications
(1 citation statement)
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“…J. Wan proposed a heterogeneous network architecture based on a software-defined network (SDN) for realizing cross-network flexible forwarding of multisource manufacturing data and optimized the utilization of network resources [9]. M. A. Zarrabian studied the problem of multirate packet delivery in heterogeneous packeterasure broadcast networks and presented a new analytical framework for characterizing the delivery rate and delivery delay performance of a nonblock-based network coding scheme [10]. Koohifar proposed a hybrid Wi-Fi/LTE aggregated data communication architecture and compared it with the baseline LTE architecture under the smart grid flow profile.…”
Section: Introductionmentioning
confidence: 99%
“…J. Wan proposed a heterogeneous network architecture based on a software-defined network (SDN) for realizing cross-network flexible forwarding of multisource manufacturing data and optimized the utilization of network resources [9]. M. A. Zarrabian studied the problem of multirate packet delivery in heterogeneous packeterasure broadcast networks and presented a new analytical framework for characterizing the delivery rate and delivery delay performance of a nonblock-based network coding scheme [10]. Koohifar proposed a hybrid Wi-Fi/LTE aggregated data communication architecture and compared it with the baseline LTE architecture under the smart grid flow profile.…”
Section: Introductionmentioning
confidence: 99%