This paper describes the proposed system of the Hitachi team for the Cross-Framework Meaning Representation Parsing (MRP 2019) shared task. In this shared task, the participating systems were asked to predict nodes, e...
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The Grassmannian Gq(n, k) is the set of all k-dimensional subspaces of the vector space Fnq . Kötter and Kschischang showed that codes in Grassmannian space can be used for error-correction in random network codi...
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Wireless services have been extended from connection-centric to content-centric and this brings rapid increasing data traffic. Considering the concurrent multiple requests for popular contents, multicast is a promisin...
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Wireless services have been extended from connection-centric to content-centric and this brings rapid increasing data traffic. Considering the concurrent multiple requests for popular contents, multicast is a promising delivery scheme to exploit content reuse. Satellite multicast is superior to others due to the coverage. When terrestrial base stations (BSs) are integrated with the satellite, cooperative transmission is then enabled to handle the fading satellite channels as well as maximize data throughput. Therefore, this paper proposes a co-operative multicast scheme for content delivery in the integrated terrestrial-satellite networks (ITSN) which is further enhanced by network coding. To exploit bandwidth of both terrestrial base stations (BSs) and the satellite, this cooperative multicast scheme uses two-phase transmission. The satellite multicast contents to subscribers in an opportunistic manner with real-time data rate adaptation. Then terrestrial BSs retransmit the lost packets for reliable transmission. Ground users are allocated to subgroups for the channel diversities while network coding is applied to packet loss recovery with fewer retransmissions. Sufficient numerical results demonstrate the enhancement on network throughput brought by the cooperative multicast scheme.
In this letter, we evaluate the finite-length performance of network coding when using either random or structured encoding matrices. First, we present our novel construction of structured network codes over Fq (q = 2...
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The deployment of machine learning algorithms on resource-constrained edge devices is an important challenge from both theoretical and applied points of view. In this article, we focus on resource-efficient randomly c...
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Sum-rank Hamming codes are introduced in this work. They are essentially defined as the longest codes with minimum sum-rank distance at least 3 for a fixed redundancy r, base-field size q and field-extension degree m ...
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Fulcrum combines two encoding stages, first using one high Galois field, such as GF(2~8) and then with the binary Galois field GF(2). This allows intermediate and end devices, depending their computation power, to sel...
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ISBN:
(纸本)9783800749485
Fulcrum combines two encoding stages, first using one high Galois field, such as GF(2~8) and then with the binary Galois field GF(2). This allows intermediate and end devices, depending their computation power, to select either field to recode and decode coded packets. To ensure a high decoding probability, Fulcrum codes introduce r expansion packets at the outer coding stage, to increase the chance of producing linearly independent packets. However, the fixed number r hinder the chance of obtaining both high decoding probability and efficient transmission at a reduced computation complexity. We propose tunable expansion packet (TEP) protocols, which adjust the extra coefficients in the outer coding stage based on feedback from receivers. Comprehensive evaluations show that TEP protocols significantly increase goodput and reduce computation complexity while maintaining a low overhead.
Reliable communication in massive random access scenarios with short packet transmissions requires integration of novel network architecture solutions and multiple access methods. In this paper, we study the performan...
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ISBN:
(纸本)9781538649206
Reliable communication in massive random access scenarios with short packet transmissions requires integration of novel network architecture solutions and multiple access methods. In this paper, we study the performance of an uncoordinated, grant-free random access scheme based on compute-and-forward (CoF) in a dense cloud radio access network (C-RAN) where multiple access points (out-of-band relays or radio units) are connected by low-rate links to a central processing instance. The access points decode linear equations of transmitted messages and forward these to the central processing instance, which solves for the original messages. In the context of the C-RAN architecture, the approach provides efficient utilization of the (limited) fronthaul resources, thus presenting an alternative to conventional C-RAN implementations. The performance of the CoF-based scheme is assessed in a realistic scenario where neither the transmit nor the receive instances have a priori channel state information (CSI). In our approach, pilot signals and data are transmitted in the same message, which meets a strong need for the integration of control and data for short message transmissions. An important aspect that we study is the trade-off between the resource allocation for reliable channel estimation and encoded data transmission given a reliability target.
Cooperative network coding is considered as a novel technology that integrates cooperative communications with network coding to improve the throughput and robustness of the network. In this paper, a network coding en...
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Recent advances in information theory and networking, e.g. aggregation, network coding or rateless codes, have significantly modified data dissemination in wireless networks. These new paradigms create new threats for...
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