We consider network coding for a noiseless broadcast channel where each receiver demands a subset of messages available at the transmitter and is equipped with noisy side information in the form an erroneous version o...
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ISBN:
(纸本)9781538612248
We consider network coding for a noiseless broadcast channel where each receiver demands a subset of messages available at the transmitter and is equipped with noisy side information in the form an erroneous version of the message symbols it demands. We view the message symbols as elements from a finite field and assume that the number of symbol errors in the noisy side information is upper bounded by a known constant. This communication problem, which we refer to as broadcasting with noisy side information (BNSI), has applications in the re-transmission phase of downlink networks. We derive a necessary and sufficient condition for a linear coding scheme to satisfy the demands of all the receivers in a given BNSI network, and show that syndrome decoding can be used at the receivers to decode the demanded messages from the received codeword and the available noisy side information. We represent BNSI problems as bipartite graphs, and using this representation, classify the family of problems where linear coding provides bandwidth savings compared to uncoded transmission. We also provide a simple algorithm to determine if a given BNSI network belongs to this family of problems, i.e., to identify if linear coding provides an advantage over uncoded transmission for the given BNSI problem.
The Langberg-Medard k-Unicast Conjecture states that for any strongly reachable k-pair network, there exists a multi-flow with rate (1, 1, ..., 1). In this paper, for k = 3, 4, we construct multi-flows with rate (11/1...
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ISBN:
(纸本)9781538647813
The Langberg-Medard k-Unicast Conjecture states that for any strongly reachable k-pair network, there exists a multi-flow with rate (1, 1, ..., 1). In this paper, for k = 3, 4, we construct multi-flows with rate (11/12, 11/12, ..., 11/12), which improves the previous result (8/9, 8/9, ..., 8/9), and we further prove that our constructions are optimal within the proposed framework.
In this paper, we propose an opportunistic cooperative transmission (OCT) scheme combined with bi-directional relaying and physical layer network coding (PNC) in wireless sensor networks (WSNs).This scheme can be swit...
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network coding (NC) and relay selection (RS) are two well-known techniques for achieving higher throughput and spectral efficiency in wireless networks. In this paper, we study a multiple-source, multiple-relay networ...
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network coding (NC) and relay selection (RS) are two well-known techniques for achieving higher throughput and spectral efficiency in wireless networks. In this paper, we study a multiple-source, multiple-relay network-coded cooperative (NCC) system. We propose a new smart decode-and-forward (DF) relay selection scheme which considers the source-destination links' outage status for relay selection. Assuming that the number of selected relays is less than the number of the sources, the selected relays will need to use linear network coding to combine their received information. To do this, the network coding coefficients have drawn from a generator matrix of a systematic maximum distance separable (MDS) code. Our analytical and simulation results indicate that the proposed scheme outperforms the conventional max-min relay selection schemes in terms of the outage probability (OP) and throughput.
Existing Unmanned Aerial Vehicles (UAVs) mainly rely on the direct ground-to-UAV communications over the unlicensed spectrum, which can only operate within the visual line of sight. Integrating UAVs into cellular netw...
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ISBN:
(纸本)9781538672242
Existing Unmanned Aerial Vehicles (UAVs) mainly rely on the direct ground-to-UAV communications over the unlicensed spectrum, which can only operate within the visual line of sight. Integrating UAVs into cellular networks is a promising solution to extend the range but poses new challenges to the transport protocols. To ensure the flight safety, the transmission of UAV commands and missionrelated data is required to be reliable with low latency. In this paper, we propose a Low-latency Reliable Transmission (LRT) protocol by exploiting the rateless and online properties of online network coding. We design the LRT, implement it, and evaluate its performance in terms of the in-order per message delay. Experimental results show that LRT can provide lowlatency transmission service comparable to that of UDP while giving the same reliability of TCP, which makes it an attractive option for network-Connected UAV applications.
Systems with multiple channels and multiple radios per node have been shown to enhance throughput of wireless mesh networks (WMNs). Recently, network coding has also been proved to be a promising technique for improvi...
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Very fast link failure recovery and high throughput can be achieved via the synergistic combination of Diversity and network coding (DC-NC), an open-loop coding technique, in a wide variety of network architectures. I...
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ISBN:
(纸本)9781538612675
Very fast link failure recovery and high throughput can be achieved via the synergistic combination of Diversity and network coding (DC-NC), an open-loop coding technique, in a wide variety of network architectures. In this paper, DC-NC is applied to enable recovering from a wireless link/node failure in the fronthaul portion of downlink Coordinated Multi Point (CoMP) 5G wireless network in a C-RAN environment. Our results demonstrate that by utilizing DC-NC coding in CoMP systems, resource consumption is reduced by about one-third and ultra-reliability with near-instantaneous fault recovery is achieved.
Industry 4.0 applications foster new business opportunities, but they also pose new and challenging requirements, such as low latency communications and highly reliable systems. They would likely exploit novel wireles...
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Future Connected and Automated Vehicles (CAVs) will be supervised by cloud-based systems overseeing the overall security and orchestrating traffic flows. Such systems rely on data collected from CAVs across the whole ...
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Future Connected and Automated Vehicles (CAVs) will be supervised by cloud-based systems overseeing the overall security and orchestrating traffic flows. Such systems rely on data collected from CAVs across the whole city operational area. This paper develops a Fog Computing-based infrastructure for future Intelligent Transportation Systems (ITSs) enabling an agile and reliable off-load of CAV data. Since CAVs are expected to generate large quantities of data, it is not feasible to assume data off-loading to be completed while a CAV is in the proximity of a single Road-Side Unit (RSU). CAVs are expected to be in the range of an RSU only for a limited amount of time, necessitating data reconciliation across different RSUs, if traditional approaches to data off-load were to be used. To this end, this paper proposes an agile Fog Computing infrastructure, which interconnects all the RSUs so that the data reconciliation is solved efficiently as a by-product of deploying the Random Linear network coding (RLNC) technique. Our numerical results confirm the feasibility of our solution and show its effectiveness when operated in a large-scale urban testbed.
We consider probabilistic network codes over Gaussian relay network from coding theoretic perspective. network coding by relay nodes is performed based on reliable received signals from source nodes. Effect of the sig...
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ISBN:
(纸本)9784885523182
We consider probabilistic network codes over Gaussian relay network from coding theoretic perspective. network coding by relay nodes is performed based on reliable received signals from source nodes. Effect of the signal selection and the relaying error on the performance is addressed by deriving upper bound on the expected error probability at the destination.
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