Due to an explosive growing demand for higher data rates that have led to the 5th generation of mobile networks, network coding-enabled mobile small cells are observed as a promising technology for 5G networks that ca...
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ISBN:
(纸本)9781728136271
Due to an explosive growing demand for higher data rates that have led to the 5th generation of mobile networks, network coding-enabled mobile small cells are observed as a promising technology for 5G networks that can cover the urban landscape by being set up on-demand at any place, and at any time on any device. Despite the benefits of network coding technology on these networks, pollution attacks should be addressed before network coding technology reaches its full potential in 5G mobile small cells. In this paper, we have proposed an intrusion detection and prevention scheme which is able not only to detect and prevent pollution attacks but also to detect the exact location of adversary nodes which are the source of pollution attacks.
In this work, the concept of network coding (NC) is used in conjunction with the routing and spectrum allocation (RSA) problem to jointly provide security and protection in elastic optical networks (EONs). Specificall...
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ISBN:
(纸本)9781728146980
In this work, the concept of network coding (NC) is used in conjunction with the routing and spectrum allocation (RSA) problem to jointly provide security and protection in elastic optical networks (EONs). Specifically, to provide security against eavesdropping attacks, a number of XOR operations are performed at specific network nodes using already established connections, enabling the confidential connections to transmit an encrypted version of their data. In order to protect and maintain the security of the confidential connections in the event of any single link failure, a protection mechanism is further proposed, enabling the receiver at the destination nodes to decode the signals during normal network operation as well as network operation under fault conditions. NC-based RSA algorithms are proposed for different classes of demands and their efficiency is examined in terms of spectrum utilization, network blocking, and the level of security they provide.
A new method is presented, consisting of exclusively simple linear algebra computations, for computing the linear programming Shannon outer bound to the network coding capacity region of a directed hypergraph network....
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ISBN:
(纸本)9781538692912
A new method is presented, consisting of exclusively simple linear algebra computations, for computing the linear programming Shannon outer bound to the network coding capacity region of a directed hypergraph network. This linear algebraic formulation enables a new upper bound on the worst case complexity of computing the Shannon outer bound to a network coding capacity region to be determined.
Satellite networks are capable of contenting a variety of data transmission needs of users in geographically diverse locations throughout the world. Multi-layered satellite networks (MLSNs) can construct efficient com...
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Satellite networks are capable of contenting a variety of data transmission needs of users in geographically diverse locations throughout the world. Multi-layered satellite networks (MLSNs) can construct efficient communications networks due to their extensive coverage and high network capacity. However, throughput degradation and severe end-to-end delay could occur in MLSNs because of the traffic congestion. To resolve these problems, the authors first propose a novel MEO/LEO satellite network architecture that construct effective inter-satellite links. Then the authors present a network coding-based multi-path routing algorithm to deliver traffic through the hybrid satellite network. The analysis of characteristics of the proposed scheme are addressed by performance evaluations in simulation.
There has been an increasing demand for providing real-time video streaming services in the next-generation cellular networks. To improve the quality of such services without additional infrastructure, neighboring dev...
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There has been an increasing demand for providing real-time video streaming services in the next-generation cellular networks. To improve the quality of such services without additional infrastructure, neighboring devices can recover missing packets by using network coding aided collaborative transmission via device-to-device (D2D) communication. However, most existing work in this area had not considered the issue of how to schedule such coding aided collaborative transmissions effectively for supporting real-time scalable video applications in such environment. In this paper, we study how to improve the quality of real-time scalable video services by efficiently scheduling coding aided collaborative transmissions. We first formulate the problem of optimal collaborative transmission scheduling that determines the optimal transmitting sequence and coding pattern at each transmitting device, which is shown to be NP-hard. To address this problem, we propose a new weight function for measuring the quality of a coding pattern by considering packet recovery gain and potential video decoding gain at receivers. Based on this new weight function, we propose a low complexity centralized algorithm using global state information and an efficient distributed mechanism supporting localized operations in dynamic environment. We deduce their computational complexities. Simulation results verify that the proposed solution outperforms the representative work in the literature.
Industrial applications introduce new and complex requirements in terms of reliability and latency for wireless communication systems. In particular, 3GPP has recently identified the need for communications being ultr...
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ISBN:
(数字)9781728152073
ISBN:
(纸本)9781728140537
Industrial applications introduce new and complex requirements in terms of reliability and latency for wireless communication systems. In particular, 3GPP has recently identified the need for communications being ultra reliable as well as robust against consecutive packet errors. These requirements call for new approaches that span multiple layers to encompass the latency-reliability trade-offs compared to classical error correction schemes like (Hybrid) ARQ. For this purpose, techniques like puncturing, power boosting, and data duplication have been introduced in 5G NR to enable transmission preemption and overriding, and data redundancy. To alleviate their radio inefficiency cost, this paper presents network coding schemes that proactively correct packet errors caused by simultaneous or consecutive leg transmission failures. In particular, we demonstrate that the proposed schemes are able to increase the reliability of single and consecutive packet transmissions while reducing the associated traffic increase as compared to data duplication.
Modern communications have moved away from point-to-point models to increasingly heterogeneous network models. In this article, we propose a novel controller-based protocol to deploy adaptive causal network coding in ...
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This paper presents NANCY, a system that generates adaptive bit rates (ABR) for video and adaptive network coding rates (ANCR) using reinforcement learning (RL) for video distribution over wireless networks. NANCY tra...
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ISBN:
(数字)9781728182988
ISBN:
(纸本)9781728182995
This paper presents NANCY, a system that generates adaptive bit rates (ABR) for video and adaptive network coding rates (ANCR) using reinforcement learning (RL) for video distribution over wireless networks. NANCY trains a neural network model with rewards formulated as quality of experience (QoE) metrics. It performs joint optimization in order to select: (i) adaptive bit rates for future video chunks to counter variations in available bandwidth and (ii) adaptive network coding rates to encode the video chunk slices to counter packet losses in wireless networks. We present the design and implementation of NANCY, and evaluate its performance compared to state-of-the-art video rate adaptation algorithms including Pensieve and robustMPC. Our results show that NANCY provides 29.91% and 60.34% higher average QoE than Pensieve and robustMPC, respectively.
This paper proposes low complexity soft decoding for physical layer network coding with coded modulation that can be applied to bi-directional relay systems with quadrature amplitude modulations (QAMs). Although the r...
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ISBN:
(数字)9781728199726
ISBN:
(纸本)9781728199733
This paper proposes low complexity soft decoding for physical layer network coding with coded modulation that can be applied to bi-directional relay systems with quadrature amplitude modulations (QAMs). Although the received signal at the relay is superposition of the two transmission signals from the terminals in the systems, the signal detection and the channel decoding can be carried out by the proposed decoding with low computational complexity, because the proposed soft decoding can generates the soft input signal with the use of the region detection. The proposed decoding achieves a soft decoding gain without the prohibitive exhaustive search. The proposed decoding can keep the complexity even when higher order QAMs are applied. The performance of the proposed soft decoding is evaluated by computer simulation in a two hop MIMO-OFDM bi-directional relay system. The proposed decoding attains a soft decoding gain of about 2.0dB at the BER of 10 -5 in spite of cardinality of QAMs.
Building upon the application of flags to network coding introduced in [7], we develop a variant of this coding technique that uses degenerate flags. The information set is a metric affine space isometric to the space...
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