Results 1 to 10 of about 790 (124)
IEEE Access, 2023 Tactile Internet (TI) has very stringent networking requirements and the transport layer plays a crucial role in meeting these requirements. However, the transport layer has several inherent limitations (e.g., bufferbloat, incast issue, and head of line ...
Shahzad +3 more
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On Vector Random Linear Network Coding in Wireless Broadcasts [PDF]
EntropyCompared with scalar linear network coding (LNC) formulated over the finite field GF(2L), vector LNC offers enhanced flexibility in the code design by enabling linear operations over the vector space GF(2)L and demonstrates a number of advantages over ...
Rina Su +3 more
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Efficient Communications in V2V Networks with Two-Way Lanes Based on Random Linear Network Coding [PDF]
Entropy, 2023 Vehicle-to-vehicle (V2V) communication has gained significant attention in the field of intelligent transportation systems. In this paper, we focus on communication scenarios involving vehicles moving in the same and opposite directions. Specifically, we
Yiqian Zhang, Tiantian Zhu, Congduan Li
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Scalable Network Coding for Heterogeneous Devices over Embedded Fields [PDF]
Entropy, 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 heterogeneous ...
Hanqi Tang +4 more
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Random Linear Network Coding for 5G Mobile Video Delivery [PDF]
Information, 2018 An exponential increase in mobile video delivery will continue with the demand for higher resolution, multi-view and large-scale multicast video services.
Dejan Vukobratovic +3 more
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Network Coding Approaches for Distributed Computation over Lossy Wireless Networks [PDF]
Entropy, 2023 In wireless distributed computing systems, worker nodes connect to a master node wirelessly and perform large-scale computational tasks that are parallelized across them.
Bin Fan, Bin Tang, Zhihao Qu, Baoliu Ye
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Weighted BATS Codes with LDPC Precoding [PDF]
Entropy, 2023 Batched Sparse (BATS) codes are a type of network coding scheme that use a combination of random linear network coding (RLNC) and fountain coding to enhance the reliability and efficiency of data transmission. In order to achieve unequal error protection
Wenyue Zhang, Min Zhu
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Network Coding for Efficient Video Multicast in Device-to-Device Communications [PDF]
Sensors, 2020 Device-to-Device (D2D) communication is one of the critical technologies for the fifth-generation network, which allows devices to communicate directly with each other while increasing transmission rate, but this communication is vulnerable to ...
Lei Wang +5 more
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SpaRec: Sparse Systematic RLNC Recoding in Multi-Hop Networks
IEEE Access, 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.
Elif Tasdemir +6 more
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On GRAND-Assisted Vector Random Linear Network Coding in Wireless Broadcasts [PDF]
EntropyRecent works have combined random linear network coding (RLNC) with guessing random additive noise decoding (GRAND) to leverage RLNC packets to partially correct bit errors prior to RLNC decoding, so as to reduce the packet erasure rates in wireless ...
Rina Su +3 more
doaj +2 more sources