Raptor codes

By Amin Shokrollahi. IEEE Transactions on Information Theory, 2011

2,301 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/bdd829a3cbf6249cfc23916e0523ce5bb9e52fdc

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In Computer Networks and Communications

Citations in the corpus

High-Reliability and Low-Latency Wireless Communication for Internet of Things: Challenges, Fundamentals, and Enabling Technologies (2019, background): “As rateless codes, LT codes and raptor codes [59] show flexibility in error control capability and are used in multimedia dissemination.”
Network coding: an instant primer (2006, background): “matic repeat request (ARQ) schemes that achieve the optimal rate at the cost of delay; and packet-level forward error correcting (FEC) schemes that achieve the optimal delay at the cost of rate, such as Fountain codes [25].”
Full length article: On coding for reliable communication over packet networks (2008, neutral): “c rate optimality of a speciﬁc scheme that we believe may be practicable and that can be considered as the prototype for a family of related, improved schemes; for example, LT codes [8], Raptor codes [9], Online codes [10], RT oblivious erasure-correcting codes [11], and the greedy random scheme pro”
Coding for fast content download (2012, background): “Once in possession of the content, the server can deliver it to the users by, e.g., broadcast enabled by digital fountain codes [12].”
Survey on Free Space Optical Communication: A Communication Theory Perspective (2014, methodology): “is raptor coding [243], [244] which consists of concatenating an inner code with an outer Luby Transform (LT) code [245].”
Network Coding for Distributed Storage Systems (2007, background): “Our paper is based on similar ideas but the storage systems have different performance metrics that need to be analyzed.”
Rateless codes on noisy channels (2004, methodology): “The aim of this paper is to study the performance of LT and Raptor codes on channels other than the BEC.”
Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Toward 6G (2021, background): “Examples include Raptor codes [153], Strider [154],”
Minimum-cost multicast over coded packet networks (2005, methodology): “2) End-to-end coding: A path is chosen from source to sink, and an end-to-end forward error correction (FEC) code, such as a Reed–Solomon code, a Luby transform (LT) code [51], or a Raptor code [52], is used to correct for packets lost between source and sink.”
FemtoCaching: Wireless video content delivery through distributed caching helpers (2011, background): “It is well-known that this behavior can be closely approached (at the cost of a small redundancy overhead) by Raptor codes [4].”
Mobile Video Transmission Using Scalable Video Coding (2007, positive): “ficiency nor quality in case of losses, 3 GPP included an application layer FEC based on Raptor codes [22], [23] for MBMS.”
Wireless Device-to-Device Caching Networks: Basic Principles and System Performance (2013, background): “codes [13]–[15] to support heterogeneous users in a broadcast”
Raptor codes on binary memoryless symmetric channels (2006, methodology): “This problem has been solved for the erasure channel [16].”
Fundamental Limits of Caching in Wireless D2D Networks (2014, background): “…model : if a node i transmits a packet to node j , then the transmission is successful if and only if: a) The distance between i and j is less than r ; b) Any other node k transmitting simultaneously, is at distance d ( k, j ) ≥ (1+∆) r from the receiver j , where r, ∆ > 0 are protocol parameters.”