Zobrazeno 1 - 10
of 104
pro vyhledávání: '"random linear network coding (RLNC)"'
Publikováno v:
IEEE Access, Vol 11, Pp 73839-73849 (2023)
Establishing reliable and efficient multicast services in heterogeneous networks under an erasure channel is one of the current priorities in coding theory, particularly in Network Coding (NC) over data networks. Additionally, the increasing number o
Externí odkaz:
https://doaj.org/article/d1821e09ac424deea5885c97ab6c9ae2
Publikováno v:
IEEE Access, Vol 10, Pp 54276-54290 (2022)
Fulcrum Random Linear Network Coding (RLNC) combines outer coding in a large Galois Field, e.g., $GF(2^{8})$ , with inner coding in $GF(2)$ to flexibly trade off the strong protection (low probability of linear dependent coding coefficients) of $GF(2
Externí odkaz:
https://doaj.org/article/ac5088a5336b4bbb928803a2539d1a4d
Autor:
Elif Tasdemir, Mate Tomoskozi, Juan A. Cabrera, Frank Gabriel, Dongho You, Frank H. P. Fitzek, Martin Reisslein
Publikováno v:
IEEE Access, Vol 9, Pp 168567-168586 (2021)
Sparse Random Linear Network Coding (RLNC) reduces the computational complexity of the RLNC decoding through a low density of the non-zero coding coefficients, which can be achieved through sending uncoded (systematic) packets. However, conventional
Externí odkaz:
https://doaj.org/article/afa8639ee506464b8591abf711fb0ae3
Autor:
Vu Nguyen, Elif Tasdemir, Giang T. Nguyen, Daniel E. Lucani, Frank H. P. Fitzek, Martin Reisslein
Publikováno v:
IEEE Access, Vol 8, Pp 78293-78314 (2020)
Fulcrum coding combines a high-field outer Random Linear Network Coding (RLNC) that generates outer coding expansion packets with a small-field inner RLNC that combines the source packets and the outer coding expansion packets. This two-layer Fulcrum
Externí odkaz:
https://doaj.org/article/b524423c9118447a990b076278a69503
Autor:
Israel Leyva-Mayorga, Roberto Torre, Vicent Pla, Sreekrishna Pandi, Giang T. Nguyen, Jorge Martinez-Bauset, Frank H. P. Fitzek
Publikováno v:
IEEE Access, Vol 8, Pp 15656-15672 (2020)
Massive content delivery is in the spotlight of the research community as both data traffic and the number of connected mobile devices are increasing at an incredibly fast pace. The enhanced mobile broadband (eMBB) is one of the main use cases for th
Externí odkaz:
https://doaj.org/article/1b68aa06d5b442b583722d1bee1c498a
Autor:
Roberto Torre, Israel Leyva-Mayorga, Sreekrishna Pandi, Hani Salah, Giang T. Nguyen, Frank H. P. Fitzek
Publikováno v:
IEEE Access, Vol 8, Pp 185964-185980 (2020)
The continuous increase of mobile data traffic calls for the design of energy-efficient content distribution mechanisms, to be incorporated in the fifth generation of mobile networks, 5G. One of the biggest concerns of the companies and the research
Externí odkaz:
https://doaj.org/article/ff45fbae78d84da0865394a43f365bc0
Publikováno v:
Entropy, Vol 24, Iss 11, p 1510 (2022)
In complex network environments, there always exist heterogeneous devices with different computational powers. In this work, we propose a novel scalable random linear network coding (RLNC) framework based on embedded fields, so as to endow heterogene
Externí odkaz:
https://doaj.org/article/8c9e4fa24283497ba47f1c2d0aae591d
Publikováno v:
IEEE Access, Vol 7, Pp 161184-161200 (2019)
A complete generation of packets coded with Random Linear Network Coding (RLNC) can be quickly decoded on a multicore system by scheduling the involved matrix block operations in parallel with an offline (pre-recorded) directed acyclic graph (DAG). T
Externí odkaz:
https://doaj.org/article/baf4cf13f9f6450abbc109b07f072cb8
Publikováno v:
IEEE Access, Vol 6, Pp 44787-44802 (2018)
Wireless networks typically employ some form of forward error correction (FEC) coding and some automatic repeat request (ARQ) protocol to ensure reliable data transmission over lossy channels. We propose to integrate FEC and ARQ in the context of ran
Externí odkaz:
https://doaj.org/article/32d360e3fe0b49e1b7146900f217c14f
Autor:
Daniel E. Lucani, Morten Videbaek Pedersen, Diego Ruano, Chres W. Sorensen, Frank H. P. Fitzek, Janus Heide, Olav Geil, Vu Nguyen, Martin Reisslein
Publikováno v:
IEEE Access, Vol 6, Pp 77890-77910 (2018)
We introduce Fulcrum, a network coding framework that achieves three seemingly conflicting objectives: 1) to reduce the coding coefficient overhead down to nearly n bits per packet in a generation of n packets; 2) to conduct the network coding using
Externí odkaz:
https://doaj.org/article/63de7725f2a544109b39241f08085663