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</script>Characterization of the delay profile of systems employing random linear network coding is important for the reliable provision of broadcast services. Previous studies focused on network coding over large finite fields or developed Markov chains to model the delay distribution but did not look at the effect of transmission deadlines on the delay. In this work, we consider generations of source packets that are encoded and transmitted over the erasure broadcast channel. The transmission of packets associated to a generation is taken to be deadline-constrained, that is, the transmitter drops a generation and proceeds to the next one when a predetermined deadline expires. Closed-form expressions for the average number of required packet transmissions per generation are obtained in terms of the generation size, the field size, the erasure probability and the deadline choice. An upper bound on the average decoding delay, which is tighter than previous bounds found in the literature, is also derived. Analysis shows that the proposed framework can be used to fine-tune the system parameters and ascertain that neither insufficient nor excessive amounts of packets are sent over the broadcast channel.
10 pages, 8 figures, accepted for publication in the IEEE Transactions on Vehicular Technology
Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, delay, Computer Science - Information Theory, Information Theory (cs.IT), multicast, rateless coding, network coding, non-systematic, 004, Computer Science - Networking and Internet Architecture, probability analysis, systematic, Broadcast
Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, delay, Computer Science - Information Theory, Information Theory (cs.IT), multicast, rateless coding, network coding, non-systematic, 004, Computer Science - Networking and Internet Architecture, probability analysis, systematic, Broadcast
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
