Integrated satellite-terrestrial networks can enable seamless global communication coverage while providing rapid responses to areas requiring emergency communications. However, existing satellite-terrestrial links ar...
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ISBN:
(纸本)9798350329285
Integrated satellite-terrestrial networks can enable seamless global communication coverage while providing rapid responses to areas requiring emergency communications. However, existing satellite-terrestrial links are severely degraded, making it difficult to guarantee communication reliability and resulting in extremely poor throughput. What's worse, satellite-based relay solutions for satellite-terrestrial information interaction are scarce which has limited support for emergency communications between multiple terminals in different areas. In this paper, a comprehensive satellite-terrestrial information interaction architecture is proposed integrating hybrid automatic repeat request (HARQ), cooperative communication, and network coding to address the poor throughput and low reliability of existing networks. Then, we present the relevant mechanism and process of this framework for multi-user information interaction in different areas. To evaluate the performance of this scheme, the outage probability of satellite-terrestrial links and the throughput of this system are derived and analyzed, respectively. The simulation results demonstrate that this approach can effectively reduce the link outage probability and significantly improve the system throughput compared to traditional methods.
With the appearance and flourishing development of the Internet of Things (IoT), wireless sensor networks technology has been attracting increasing attention. network coding is an indispensable technology in the wirel...
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With the appearance and flourishing development of the Internet of Things (IoT), wireless sensor networks technology has been attracting increasing attention. network coding is an indispensable technology in the wireless sensor networks, which can improve network transmission throughput. However, pollution attacks is a serious security problem that must be faced in the process of data coding. Although the homomorphic network coding signature schemes can solve this troublesome, the high signature generation and verification cost of these schemes will reduce the transmission efficiency. In this article, we propose an efficient identity-based linearly homomorphic network coding signature scheme for wireless sensor networks to guarantee data integrity and authenticity. In our scheme, the computation cost of signature generation and verification are both independent of the size of the data packet. The scheme is proved secure against existential forgery under adaptive chosen identity and adaptive chosen subspace attacks in random oracle model. Using Java pairing-based Cryptography Library (JPBC), the simulation results illustrate that our scheme is more efficient in practical application.
This paper proposes an overloaded multiple-input-multiple-output (MIMO) 2-hop network with physical layer network coding for high speed wireless communications. The number of the spatial multiplexed signal streams can...
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ISBN:
(纸本)9798350382617
This paper proposes an overloaded multiple-input-multiple-output (MIMO) 2-hop network with physical layer network coding for high speed wireless communications. The number of the spatial multiplexed signal streams can be raised to that of the transmit antennas in the proposed network even where the number of antennas on the relay is less than that on the terminals. The proposed overloaded MIMO network applies precoding and relay filtering to reduce computational complexity. Furthermore, we propose a technique to select the best filter among candidates relay filters. The performance of the proposed network is evaluated by computer simulation. The proposed filter selection technique attains a gain of about 1.5 dB at the BER of 10(-5) in the network where 2 antennas and 4 antennas are placed on the relay and the terminal, respectively. This paper shows that 6-stream spatial multiplexing can be exchanged between the terminals via the relay with 2 antennas.
network coding has been extensively studied and implemented in Wi-Fi sensor networks (WSNs) as a way of growing data throughput and improving statistics reliability. The primary blessings of using community coding in ...
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With the rapid development of the Internet technology,millimeter wave(mmWave)will be used as a supplement to 5G low frequency bands to meet the extremely high system capacity requirements of 5G in hot *** 5G mmWave co...
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With the rapid development of the Internet technology,millimeter wave(mmWave)will be used as a supplement to 5G low frequency bands to meet the extremely high system capacity requirements of 5G in hot *** 5G mmWave communication can adapt to the needs of 5G network and carry a large amount of transmitted data,transmission stability has become one of the key technical issues of 5G network mmWave communication due to problems such as strong attenuation and poor penetration of *** order to improve the efficiency of the mmWave multi-hop transmission,we propose a 5G mmWave multi-hop transmission method based on network coding,which can adapt to the current wireless network environment,improve spectrum efficiency and increase network *** on MATLAB simulation experiments,it is verified that the proposed method can greatly improve the transmission efficiency and reduce the signal loss under the premise of ensuring the accurate signal transmission.
Active eavesdropper sends jamming signals to raise the transmit power of base stations and steal more information from cellular systems. network coding resists the active eavesdroppers that cannot obtain all the data ...
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Active eavesdropper sends jamming signals to raise the transmit power of base stations and steal more information from cellular systems. network coding resists the active eavesdroppers that cannot obtain all the data flows, but highly relies on the wiretap channel states that are rarely known in wireless networks. In this paper, we present a reinforcement learning (RL) based random linear network coding scheme for drone-aided cellular systems to address eavesdropping. In this scheme, the network coding policy, including the encoded packet number, the packet and power allocation, is chosen based on the measured jamming power, previous transmission performance and BS channel states. A virtual model generates simulated experiences to update Q-values besides real experiences for faster policy optimization. We also propose a deep RL version and design a hierarchical architecture to further accelerate the policy exploration and improve the anti-eavesdropping performance, in terms of the intercept probability, the latency, the outage probability and the energy consumption. We analyze the computational complexity, drone deployment, secure coverage area and the performance bound of the proposed schemes, which are verified via simulation results.
As an information transmission technology, network coding can reduce the transmission delay and improve the transmission efficiency with network performance. However, the nodes in network are vulnerable to the polluti...
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As an information transmission technology, network coding can reduce the transmission delay and improve the transmission efficiency with network performance. However, the nodes in network are vulnerable to the pollution and forgery attacks. Until now, most of network coding schemes are from pairing. Under the requirement of low computation complexity, we construct certificateless homomorphism network coding signature scheme (CL-HNCSS). In CL-HNCSS, certificateless technology avoids key management and key escrow for multi-source nodes, the homomorphism and scalar multiplication are used to reduce the computation cost. CL-HNCSS satisfies the unforgeability under the adaptive chosen-message attacks and can resist the pollution attacks. In addition, CL-HNCSS has very high communication and computation efficiency.
Retransmission at the Radio Link Control (RLC) layer is the de-facto technique to overcome packet loss at the cost of increased transmission delay in 5G systems. Softwarization of the 5G core and its adoption of cloud...
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ISBN:
(纸本)9798350302547
Retransmission at the Radio Link Control (RLC) layer is the de-facto technique to overcome packet loss at the cost of increased transmission delay in 5G systems. Softwarization of the 5G core and its adoption of cloud-native architecture allows for bringing in more advanced error correction techniques, such as Random Linear network coding (RLNC), into 5G systems. RLNC reduces delay and packet loss by proactively generating and sending combinations of original packets at the cost of more computing. We develop RLNC as a plug-in software in OpenAirInterface (OAI) 5G CN and deploy it. Evaluation results in a practical testbed show that RLNC has decreased packet loss while introducing a low delay.
This paper focuses on integrating Data Plane Development Kit (DPDK) and Service Function Chaining (SFC) on the OpenStack cloud OS to support network coding, enabling the OpenStack instance to function as a virtualized...
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ISBN:
(纸本)9798350302547
This paper focuses on integrating Data Plane Development Kit (DPDK) and Service Function Chaining (SFC) on the OpenStack cloud OS to support network coding, enabling the OpenStack instance to function as a virtualized network coding service. The main points are: comparing OpenvSwitch-DPDK with native OpenvSwitch to confirm DPDK's significant network throughput improvement, using SFC to arrange packet processing sequences of instances for varying network coding functionalities, and combining OpenvSwitch and the kernel inside each instance to enable network coding. Performance evaluation and results analysis are presented, demonstrating the feasibility of network coding as a service on any virtual machine with a commodity CPU. Future work includes advancing network coding function virtualization with more automation and intelligence.
Efficient and emergency data dissemination service in vehicular networks (VN) is very important in some situations, such as earthquakes, maritime rescue, and serious traffic accidents. Data loss frequently occurs in t...
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Efficient and emergency data dissemination service in vehicular networks (VN) is very important in some situations, such as earthquakes, maritime rescue, and serious traffic accidents. Data loss frequently occurs in the data transition due to the unreliability of the wireless channel and there are no enough available UAVs providing data dissemination service for the large disaster areas. UAV with an adjustable active antenna can be used in light of the situation. However, data dissemination assisted by UAV with the adjustable active antenna needs corresponding effective data dissemination framework. A UAV-assisted data dissemination method based on network coding is proposed. First, the graph theory to model the state of the data loss of the vehicles is used;the data dissemination problem is transformed as the maximum clique problem of the graph. With the coverage of the directional antenna being limited, a parallel method to find the maximum clique based on the region division is proposed. Lastly, the method's effectiveness is demonstrated by the simulation;the results show that the solution proposed can accelerate the solving process of finding the maximum clique and reduce the number of UAV broadcasts. This manuscript designs a novel scheme for the UAV-assisted data dissemination in vehicular networks based on network coding. The graph theory is used to model the state of the data loss of the vehicles. With the coverage of the directional antenna being limited, then a parallel method is proposed to find the maximum clique of the graph based on the region division. The effectiveness of the method is demonstrated by the simulation.
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