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Journal articles on the topic 'Multi-hop Relaying Systems'

Author: Grafiati

Published: 6 September 2023

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1

Farhadi, Golnaz, and Norman Beaulieu. "Fixed relaying versus selective relaying in multi-hop diversity transmission systems." IEEE Transactions on Communications 58, no. 3 (March 2010): 956–65. http://dx.doi.org/10.1109/tcomm.2010.03.070409.

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2

Sulyman, A. I., G. Takahara, H. S. Hassanein, and M. Kousa. "Multi-hop capacity of MIMO-multiplexing relaying systems." IEEE Transactions on Wireless Communications 8, no. 6 (June 2009): 3095–103. http://dx.doi.org/10.1109/twc.2009.080655.

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3

Farhadi, Golnaz, and Norman Beaulieu. "Power-optimized amplify-and-forward multi-hop relaying systems." IEEE Transactions on Wireless Communications 8, no. 9 (September 2009): 4634–43. http://dx.doi.org/10.1109/twc.2009.080987.

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4

Farhadi, G., and N. C. Beaulieu. "On the ergodic capacity of multi-hop wireless relaying systems." IEEE Transactions on Wireless Communications 8, no. 5 (May 2009): 2286–91. http://dx.doi.org/10.1109/twc.2009.080818.

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5

Marinho R. de Oliveira, Pedro, C. Alexandre Rolim Fernandes, Gérard Favier, and Rémy Boyer. "PARATUCK semi-blind receivers for relaying multi-hop MIMO systems." Digital Signal Processing 92 (September 2019): 127–38. http://dx.doi.org/10.1016/j.dsp.2019.05.011.

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6

Lee, In-Ho. "Study on Relaying Path Selection Using One-Hop Channel Information in Decode-and-Forward Relaying Based Multi-Hop Systems." Journal of The Korea Institute of Intelligent Transport Systems 12, no. 3 (June 30, 2013): 87–95. http://dx.doi.org/10.12815/kits.2013.12.3.087.

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7

Lee, In-Ho. "Study on Relaying Path Selection Using One-Hop Channel Information in Decode-and-Forward Relaying Based Multi-Hop Systems." Journal of The Korea Institute of Intelligent Transport Systems 12, no. 3 (June 30, 2013): 87–95. http://dx.doi.org/10.12815/kits.2013.12.3.87.

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8

Lin, Xingqin, and Jeffrey G. Andrews. "Connectivity of Millimeter Wave Networks With Multi-Hop Relaying." IEEE Wireless Communications Letters 4, no. 2 (April 2015): 209–12. http://dx.doi.org/10.1109/lwc.2015.2397884.

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9

Mao, Minghe, Ning Cao, Yunfei Chen, and Haobing Chu. "Novel noncoherent detection for multi-hop amplify-and-forward relaying systems." International Journal of Communication Systems 29, no. 7 (December 18, 2015): 1293–304. http://dx.doi.org/10.1002/dac.3099.

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10

Alvi, Shakeel, Riaz Hussain, Qadeer Hasan, and Shahzad Malik. "Improved Buffer-Aided Multi-Hop Relaying with Reduced Outage and Packet Delay in Cognitive Radio Networks." Electronics 8, no. 8 (August 14, 2019): 895. http://dx.doi.org/10.3390/electronics8080895.

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Cognitive radio networks have emerged to exploit optimally the scarcely-available radio spectrum resources to enable evolving 5G wireless communication systems. These networks tend to cater to the ever-increasing demands of higher data rates, lower latencies and ubiquitous coverage. By using the buffer-aided cooperative relaying, a cognitive radio network can enhance both the spectral efficiency and the range of the network; although, this could incur additional end-to-end delays. To mitigate this possible limitation of the buffer-aided relaying in the underlay cognitive network, a virtual duplex multi-hop scheme, referred as buffer-aided multi-hop relaying, is proposed, which improves throughput and reduces end-to-end delays while keeping the outage probability to a minimum as well. This scheme simultaneously takes into account the inter-relay interference and the interference to the primary network. The proposed scheme is modeled as a Markov chain, and Monte Carlo simulations under various scenarios are conducted to evaluate several key performance metrics such as throughput, outage probability, and average packet delay. The results show that the proposed scheme outperforms many non-buffer-aided relaying schemes in terms of outage performance. When compared with other buffer-aided relaying schemes such as max-max, max-link, and buffer-aided relay selection with reduced packet delay, the proposed scheme demonstrated better interference mitigation without compromising the delay performance as well.

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11

Guo, Lei, Keping Long, Kumudu Munasinghe, and Xuetao Wei. "Multi-hop relaying in 5G: From research to systems, standards, and applications." China Communications 13, no. 10 (October 2016): iii—iv. http://dx.doi.org/10.1109/cc.2016.7732006.

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12

Farhadi, Golnaz, and Norman Beaulieu. "Capacity of amplify-and-forward multi-hop relaying systems under adaptive transmission." IEEE Transactions on Communications 58, no. 3 (March 2010): 758–63. http://dx.doi.org/10.1109/tcomm.2010.03.080118.

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13

Nguyen, Tien-Tung, Jong-Ho Lee, Minh-Tuan Nguyen, and Yong-Hwa Kim. "Machine Learning-Based Relay Selection for Secure Transmission in Multi-Hop DF Relay Networks." Electronics 8, no. 9 (August 28, 2019): 949. http://dx.doi.org/10.3390/electronics8090949.

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A relay selection method is proposed for physical-layer security in multi-hop decode-and-forward (DF) relaying systems. In the proposed method, cooperative relays are selected to maximize the achievable secrecy rates under DF-relaying constraints by the classification method. Artificial neural networks (ANNs), which are used for machine learning, are applied to classify the set of cooperative relays based on the channel state information of all nodes. Simulation results show that the proposed method can achieve near-optimal performance for an exhaustive search method for all combinations of relay selection, while computation time are reduced significantly. Furthermore, the proposed method outperforms the best relay selection method, in which the best relay in terms of secrecy performance is selected among active ones.

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14

Lee, Jong-Ho. "Full-Duplex Relay for Enhancing Physical Layer Security in Multi-Hop Relaying Systems." IEEE Communications Letters 19, no. 4 (April 2015): 525–28. http://dx.doi.org/10.1109/lcomm.2015.2401551.

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15

Pan, Gaofeng, and Quanyuan Feng. "Performance analysis of DF relaying multi-hop systems over log-normal fading channels." AEU - International Journal of Electronics and Communications 67, no. 6 (June 2013): 457–62. http://dx.doi.org/10.1016/j.aeue.2012.11.002.

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16

Bao, Vo Nguyen Quoc, and Hyung Yun Kong. "Performance analysis of multi-hop decode-and-forward relaying with selection combining." Journal of Communications and Networks 12, no. 6 (December 2010): 616–23. http://dx.doi.org/10.1109/jcn.2010.6388309.

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17

Sakakibara, Katsumi, Daichi Ito, and Jumpei Taketsugu. "Link-level performance of cooperative multi-hop relaying networks with MDS codes." Journal of Communications and Networks 13, no. 4 (August 2011): 393–99. http://dx.doi.org/10.1109/jcn.2011.6157459.

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18

Yumen, Yosuke, Shota Sakakura, Kosuke Sanada, Hiroyuki Hatano, and Kazuo Mori. "Throughput Analysis for Wireless Full-Duplex Multi-Hop Networks with RTS/CTS-Based MAC." Electronics 11, no. 6 (March 12, 2022): 892. http://dx.doi.org/10.3390/electronics11060892.

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Medium access control (MAC) protocol operations for in-band full duplex multi-hop networks play an important role in efficient data relaying and throughput enhancement. Knowledge of the relationship between essential operations in MAC protocol for full duplex MAC (FD MAC) networks and network performance is important and useful in terms of the protocol and network design. FD MAC protocols often require exchanging control frames, e.g., request to send/clear to send (RTS/CTS). However, the conventional model cannot analyze the performance of wireless multi-hop networks with RTS/CTS-based FD MAC. Thus, this paper proposes a throughput analysis model for wireless multi-hop networks with RTS/CTS-based FD MAC. The proposed model includes novel “airtime expressions”, which allows us to handle RTS/CTS operations under FD MAC. The proposed model provides the end-to-end throughput of multi-hop networks with RTS/CTS-based FD MAC for any number of hops and any payload size. The validity of the analytical expressions is confirmed through comparisons with simulation results.

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19

Liang, Han, Caijun Zhong, Xiaoming Chen, Himal A. Suraweera, and Zhaoyang Zhang. "Wireless Powered Dual-Hop Multi-Antenna Relaying Systems: Impact of CSI and Antenna Correlation." IEEE Transactions on Wireless Communications 16, no. 4 (April 2017): 2505–19. http://dx.doi.org/10.1109/twc.2017.2665548.

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20

Goel, Dhanesh, Vemuri Sai Krishna, and Manav Bhatnagar. "Selection relaying in decode-and-forward multi-hop cognitive radio systems using energy detection." IET Communications 10, no. 7 (May 5, 2016): 753–60. http://dx.doi.org/10.1049/iet-com.2015.0209.

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21

Beschastnyi, Vitalii, Egor Machnev, Darya Ostrikova, Yuliya Gaidamaka, and Konstantin Samouylov. "Coverage, Rate, and Last Hop Selection in Multi-Hop Communications in Highway Scenarios." Mathematics 11, no. 1 (December 21, 2022): 26. http://dx.doi.org/10.3390/math11010026.

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The recent 3GPP initiative to extend IAB technology to mobile nodes in recently stated Release 18 opens up new opportunities for services operators in highway scenarios, where the extreme density of base stations (BS) is required to deliver uninterrupted coverage. The latter problem is specifically important for millimeter wave (mmWave) and future sub-terahertz (sub-THz) deployments. However, in such systems, there are inherent trade-offs between the rate provided over the multi-hop chain, the so-called “bridge”, and the inter-site distance. One of the critical factors involved in this trade-off is the choice of the last hop. In this paper, we utilize realistic channel measurements at 300 GHz to develop a framework characterizing the above-mentioned trade-off. Then, we proceed proposing a simple technique to maximize the latter by addressing the “last-hop problem” and compare its performance to the set of alternative solutions. Our numerical results illustrate that bumper location is better in terms of relaying communication distance. Furthermore, the proposed last hop selection strategies allow for extreme performance gains in terms of data rate as compared to the traditional approaches reaching 100% for large ISD and 400–500% for small ISDs. In absolute numbers, the proposed relying with the last hop selection strategy allows for reducing the required BS density along the highways by 15–30% depending on the vehicle density and required level of connectivity.

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22

Kundu, Palash, Atunu Sarkar, and Bhaskar Sardar. "Performance Analysis of Energy Optimized LTE-V2X Networks for Delay Sensitive Real-Time Services." International journal of Computer Networks & Communications 14, no. 1 (January 31, 2022): 41–57. http://dx.doi.org/10.5121/ijcnc.2022.14103.

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Energy-efficient relaying technology in multi-hop data transmission can help the challenges faced in cellular Vehicle-to-Everything (cellular-V2X) communication. However, due to high demand of emergency service requirements of the systems such as Public Protection and Disaster Relief (PPDR), National Security and Public Safety (NSPS), Intelligent Transport System (ITS) etc., least energy consumed user equipment (UEs)/Vehicular-UEs are required which can either run real-time applications or relay the application data. To support these scenarios, we present a high way based system model in rural area and enhance its scope for applying single-hop direct, relay assisted multi-hop cellular-V2X and Store-CarryForward (SCF) modes of uplink data transmission. We compare the performance of three modes of transmissions in terms of overall energy consumption and overall transmission delay with specific delay constraints of VoIP and video applications. With the varying cell radius and irrespective type of applications, our numerical results, validated with ns-3 show that, least energy is always consumed in SCF mode due to its inherent property but applications suffer a lot due to high delay incurred whereas singlehop direct mode shows the reverse. When compared with cellular-V2X mode, overall transmission delay for single-hop direct mode is acceptable within cell radius 600m but beyond that, relay assisted multi-hop cellular-V2X mode always outperforms (with low latency and moderate energy consumption).

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23

Wu, Peiran, Robert Schober, and Vijay K. Bhargava. "Robust Transceiver Design for SC-FDE Multi-hop Full-Duplex Decode-and-Forward Relaying Systems." IEEE Transactions on Wireless Communications 15, no. 2 (February 2016): 1129–45. http://dx.doi.org/10.1109/twc.2015.2485987.

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24

Xing, Chengwen, Shaodan Ma, Zesong Fei, Yik-Chung Wu, and H. Vincent Poor. "A General Robust Linear Transceiver Design for Multi-Hop Amplify-and-Forward MIMO Relaying Systems." IEEE Transactions on Signal Processing 61, no. 5 (March 2013): 1196–209. http://dx.doi.org/10.1109/tsp.2013.2243439.

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25

LEE, JunKyoung, SeungHun JANG, JangHoon YANG, and DongKu KIM. "An Approximation of the Average BER Performance of Multi-Hop AF Relaying Systems with Fixed Gain." IEICE Transactions on Communications E92-B, no. 10 (2009): 3280–84. http://dx.doi.org/10.1587/transcom.e92.b.3280.

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26

Lee, In-Ho, and Dongwoo Kim. "Spatial Channel Reuse in Multi-Hop Decode-and-Forward Relaying Systems in High Path Loss Environments." IEEE Communications Letters 16, no. 7 (July 2012): 990–93. http://dx.doi.org/10.1109/lcomm.2012.050412.112561.

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27

Mesleh, Raed, Osama Amin, and Salama S. Ikki. "Multi-hop relaying systems in the presence of co-channel interference over Nakagami-m fading channels." IET Communications 8, no. 4 (March 6, 2014): 483–91. http://dx.doi.org/10.1049/iet-com.2013.0659.

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28

Azari, Amin, Jalil S. Harsini, and Farshad Lahouti. "Power allocation in multi-hop OFDM transmission systems with amplify-and-forward relaying: A unified approach." Physical Communication 21 (December 2016): 19–29. http://dx.doi.org/10.1016/j.phycom.2016.07.002.

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29

Polyakov, Nikita, and Anna Platonova. "Assessing Latency of Packet Delivery in the 5G 3GPP Integrated Access and Backhaul Architecture with Half-Duplex Constraints." Future Internet 14, no. 11 (November 21, 2022): 345. http://dx.doi.org/10.3390/fi14110345.

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Integrated Access and Backhaul (IAB) is an enabling technology for efficient 5G millimeter wave (mmWave) New Radio (NR) deployment. The key feature of IAB is multi-hop wireless backhauling, allowing utilizing relaying IAB-nodes to provide cost-efficient access network densification and alleviate the problem of blockages. One of the critical performance measures in such systems is the latency of packet delivery over the multi-hop paths. The paper aims at assessing the impact of multi-hop transmission on the end-to-end delay in an IAB radio access network, taking into account the half-duplex constraint. We build a detailed queuing theory model for latency assessment in time-division-multiplexing (TDM)-based IAB deployments and evaluate the delay due to queuing in the network nodes for several cell topologies and under different time allocation strategies between access and backhaul. The paper considers a practical Manhattan-style urban deployment, which is characteristically impaired by the blockage of buildings. The numerical results show that balancing the access and backhaul micro phases is crucial for reducing the end-to-end packet delay, at least in the uplink, while increasing the number of network hops yields a linear increase in the total packet delay for both the uplink and downlink. The numerical results were obtained via simulation using the open-source software OMNeT++.

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30

SHI, Jie, Wen-jun XU, Zhi-qiang HE, Kai NIU, and Wei-ling WU. "Resource allocation based on genetic algorithm for multi-hop OFDM system with non-regenerative relaying." Journal of China Universities of Posts and Telecommunications 16, no. 5 (October 2009): 25–32. http://dx.doi.org/10.1016/s1005-8885(08)60264-2.

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31

Ryu, Hyun-Seok, Heesoo Lee, Jae-Young Ahn, and Chung Gu Kang. "Achieving maximum system throughput with cooperative relaying: A case study of IEEE 802.16j multi-hop relay." Journal of Communications and Networks 12, no. 5 (October 2010): 466–74. http://dx.doi.org/10.1109/jcn.2010.6388492.

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32

Hamouda, Soumaya, and Tarek Bejaoui. "Enhanced Relay Selection and Scheduling for Better Load Balancing in Multi-Hop Networks." International Journal of Business Data Communications and Networking 8, no. 4 (October 2012): 17–31. http://dx.doi.org/10.4018/jbdcn.2012100102.

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Relaying technology is likely to bring real progress to the next generation cellular networks due to its capability of boosting the system capacity and coverage. However, despite recent advances in relay deployment, some challenging problems still remain such as radio resource allocation and relay selection. The authors investigate both relay selection and scheduling strategy in order to improve the system radio capacity as well as the network load balancing. They propose a new path selection scheme based on the radio channel quality and the relay station load criteria. Performance analysis showed that the authors approach outperforms the existing path selection algorithms in terms of outage probability and global throughput in the system, especially in high traffic conditions. It is revealed that most of the cell edge users which would be rejected when applying common selection scheme, can now have access to a selected relay station and achieve a high end-to-end throughput. A new scheduling strategy is proposed in the second part of this paper, on the basis of a dynamic subframe partitioning. Simulation results show that the outage probability is reduced and more balanced resource allocation is provided. Simulation results showed that some relay stations which were not able to offer any service with the fixed subframe partitioning, can achieve a high data rate with the authors proposed dynamic scheduling strategy.

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33

Wagner, Jörg, and Armin Wittneben. "On Capacity Scaling of Multi-Antenna Multi-Hop Networks: The Significance of the Relaying Strategy in the “Long Network Limit”." IEEE Transactions on Information Theory 58, no. 4 (April 2012): 2107–33. http://dx.doi.org/10.1109/tit.2011.2177752.

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34

Aalo, Valentine A., George P. Efthymoglou, Termpong Soithong, Mohammed Alwakeel, and Sami Alwakeel. "Performance Analysis of Multi-Hop Amplify-and-Forward Relaying Systems in Rayleigh Fading Channels with a Poisson Interference Field." IEEE Transactions on Wireless Communications 13, no. 1 (January 2014): 24–35. http://dx.doi.org/10.1109/twc.2013.111513.120658.

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35

Francis Lin, Betene Anyugu. "Throughput Maximization for full-duplex two-way relay with finite buffers." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (November 1, 2020): 854. http://dx.doi.org/10.11591/ijeecs.v20.i2.pp854-862.

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<div>Optimal queueing control of multi-hop networks remains a challenging problem, e</div><div>specially in two-way relaying systems, even in the most straightforward scenarios.</div><div>In this paper, we explore two-way relaying having a full-duplex decode-and-forward</div><div>relay with two fifinite buffers. Principally, we propose a novel concept based on the</div><div>multi-agent reinforcement learning (that maximizes the cumulative network through</div><div>put) based on the combination of the buffer states and the lossy links; a decision is</div><div>generated as to whether it can transmit, receive or even simultaneously receive and</div><div>transmit information. Towards this objective, chieflfly, based on the queue state transi</div><div>tion and the lossy links, an analytic Markov decision process is proposed to analyze</div><div>this scheme, and the throughput and queueing delay are derived. Our numerical results</div><div>reveal exciting insights. First, artifificial intelligence based on reinforcement learning</div><div>is optimal when the length of the buffer is superior to a certain threshold. Second, we</div><div>demonstrate that reinforcement learning can boost transmission effificiency and prevent</div><div>buffer overflflow.</div>

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36

Kei Sakaguchi, Takumi Yoneda, Masashi Iwabuchi, and Tomoki Murakami. "mmWave massive analog relay MIMO." ITU Journal on Future and Evolving Technologies 2, no. 6 (September 24, 2021): 43–55. http://dx.doi.org/10.52953/wzof2275.

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Millimeter-Wave (mmWave) communications are a key technology to realize ultra-high data rate and ultra-low latency wireless communications. Compared with conventional communication systems in the microwave band such as 4G/LTE, mmWave communications employ a higher frequency band which allows a wider bandwidth and is suitable for large capacity communications. It is expected to be applied to various use cases such as mmWave cellular networks and vehicular networks. However, due to the strong diffraction loss and the path loss in the mmWave band, it is difficult or even impossible to achieve high channel capacity for User Equipment (UE) located in Non-Line-Of-Sight (NLOS) environments. To solve the problem, the deployment of relay nodes has been considered. In this paper, we consider the use of massive analog Relay Stations (RSs) to relay the transmission signals. By relaying the signals by a large number of RSs, an artificial Multiple-Input Multiple-Output (MIMO) propagation environment can be formed, which enables mmWave MIMO communications to the NLOS environment. We describe a theoretical study of a massive relay MIMO system and extend it to include multi-hop relays. Simulations are conducted, and the numerical results show that the proposed system achieves high data rates even in a grid-like urban environment.

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37

Oladayo, Olakanmi, and Abbas Ashraf. "A Secure and Energy-Aware Routing Protocol for Optimal Routing in Mobile Wireless Sensor Networks (MWSNs)." International Journal of Sensors, Wireless Communications and Control 9, no. 4 (September 17, 2019): 507–20. http://dx.doi.org/10.2174/2210327909666181217105028.

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Background and Objective: Mobile Wireless Sensor Network (MWSN) is a specialized wireless network made up of large number of mobile sensors, where each sensor is capable of changing its location, relaying data to either the base station or neighbouring nodes. MWSN has emerged as a useful integral part of modern communication systems; however, its major performance challenges are lack of data delivery assurance due to mobility of its sensors, low computational power of its nodes, and some security related issues. Methods: Most of the existing WSN routing protocols are for non-mobile sensors and require considerably high computational power. Thus, not suitable for energy-constraint WSN with mobile sensors. Therefore, there is need for a secure protocol for MWSN with mechanisms that take into account the limited resources of the nodes and dynamism of its nodes’ locations. Results: In this paper, an efficient routing protocol for MWSN is proposed, not to only improve data delivery but to ensure reliability. This protocol is capable of selecting optimal multi-hop route among available routes for the source node and securely hops the data to the destination nodes through intermediary nodes. Formal and informal security analysis of the routing protocol is done to ascertain the required security level of the protocol. In addition, computational cost analysis is done to evaluate the computational cost of the protocol. Conclusion: The analysis results showed that the proposed protocol was secure and required low computational cost.

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38

Jumaa, Noor, Abbas Allawy, and Mustafa Shubbar. "Modelling and optimising a new hybrid ad-hoc network cooperation strategy performance using genetic algorithm." Serbian Journal of Electrical Engineering 18, no. 2 (2021): 193–210. http://dx.doi.org/10.2298/sjee2102193j.

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The lifetime of an ad-hoc network depends on a mobile device?s limited battery capacity. In ad-hoc multi-hop communication, source nodes use intermediate nodes as a relay to communicate with remote destinations. As cooperation between nodes is restrained by their battery resources, it might not be in their best interests to always accept relay requests. Therefore, if all nodes decide how much energy to spend for relaying, selfish or non-cooperative nodes reduce cooperation by rejecting to forward packets to others, thereby leading to a dramatic drop in the network?s throughput. Three strategies have been founded to solve this problem: tit-for-tat, live-and-let-live, and selective drop. This research explored a new strategy in ad-hoc cooperation which resulted from the combination of the live-and-let-live and selective drop strategies. This new strategy is based on the suggestion to select fewer hops with a low drop percentage and sufficient power to stay alive after forwarding the data packets towards the destination or other relays at the route path. We used a genetic algorithm (GA) to optimise the cooperative problem. Moreover, the fitness equation of the GA population was designed according to the mixing of the two strategies, which resulted in a new optimized hybrid dynamic-static cooperation.

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39

Nguyen Kim, Tuan, Tam Nguyen Tri, Lam Tran Nguyen, and Duy Thai Truong. "Energy-efficient relaying technology in multi-hop data transmission can help the challenges faced in cellular Vehicle-to-Everything (cellular-V2X) communication. However, due to high demand of emergency service requirements of the systems such as Public Protection and Disaster Relief (PPDR), National Security and Public Safety (NSPS), Intelligent Transport System (ITS) etc., least energy consumed user equipment (UEs)/Vehicular-UEs are required which can either run real-time applications or relay the application data. To support these scenarios, we present a high way based system model in rural area and enhance its scope for applying single-hop direct, relay assisted multi-hop cellular-V2X and Store-CarryForward (SCF) modes of uplink data transmission. We compare the performance of three modes of transmissions in terms of overall energy consumption and overall transmission delay with specific delay constraints of VoIP and video applications. With the varying cell radius and irrespective type of applications, our numerical results, validated with ns-3 show that, least energy is always consumed in SCF mode due to its inherent property but applications suffer a lot due to high delay incurred whereas singlehop direct mode shows the reverse. When compared with cellular-V2X mode, overall transmission delay for single-hop direct mode is acceptable within cell radius 600m but beyond that, relay assisted multi-hop cellular-V2X mode always outperforms (with low latency and moderate energy consumption)." International journal of Computer Networks & Communications 14, no. 1 (January 31, 2022): 59–69. http://dx.doi.org/10.5121/ijcnc.2022.14104.

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There are many security models for computer networks using a combination of Intrusion Detection System and Firewall proposed and deployed in practice. In this paper, we propose and implement a new model of the association between Intrusion Detection System and Firewall operations, which allows Intrusion Detection System to automatically update the firewall filtering rule table whenever it detects a weirdo intrusion. This helps protect the network from attacks from the Internet.

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40

"Tensor-Based Channel Estimation Approach for One-Way Multi-Hop Relaying Communications." KSII Transactions on Internet and Information Systems 10, no. 2 (February 28, 2016). http://dx.doi.org/10.3837/tiis.2016.02.013.

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41

"Exploiting multi-hop relaying to overcome blockage in directional mmwave small cells." Journal of Communications and Networks 18, no. 3 (June 2016): 364–74. http://dx.doi.org/10.1109/jcn.2016.000052.

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42

Sun, Qiang, Panpan Qian, Wei Duan, Jiayi Zhang, Jue Wang, and Kai-Kit Wong. "Ergodic Rate Analysis and IRS Configuration for Multi-IRS Dual-Hop DF Relaying Systems." IEEE Communications Letters, 2021, 1. http://dx.doi.org/10.1109/lcomm.2021.3100347.

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43

Soleimani-Nasab, Ehsan, and Zabih Ghassemlooy. "Multi-Hop Radio and Optical Wireless Relaying Systems over EGK, DGG, and CU Fading Channels." Journal of Optical Communications and Networking, March 21, 2022. http://dx.doi.org/10.1364/jocn.442359.

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44

Li, Bing, Shengjie Zhao, Rongqing Zhang, and Liuqing Yang. "Joint Transmit Power and Trajectory Optimization for Two-Way Multi-Hop UAV Relaying Networks." IEEE Internet of Things Journal, 2022, 1. http://dx.doi.org/10.1109/jiot.2022.3191687.

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Son, Pham Ngoc, Tran Trung Duy, Phuc Quang Truong, Son Ngoc Truong, Pham Viet Tuan, Van-Ca Phan, and Khuong Ho-Van. "Combining Power Allocation and Superposition Coding for an Underlay Two-way Decode-and-forward Scheme." VNU Journal of Science: Computer Science and Communication Engineering 37, no. 1 (February 2, 2021). http://dx.doi.org/10.25073/2588-1086/vnucsce.253.

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Abstract:

In this paper, we analyze an underlay two-way decode-and-forward scheme in which secondary relays use successive interference cancellation (SIC) technology to decode data of two secondary sources sequentially, and then generate a coded signal by superposition coding (SC) technology, denoted as SIC-SC protocol. The SIC-SC protocol is designed to operate in two time slots under effects from an interference constraint of a primary receiver and residual interference of imperfect SIC processes. Transmit powers provided to carry the data are allocated dynamically according to channel powers of interference and transmission, and a secondary relay is selected from considering strongest channel gain subject to increase in decoding capacity of the first data and decrease in collection time of channel state information. Closed-form outage probability expressions are derived from mathematical manipulations and verified by performing Monte Carlo simulations. An identical scheme of underlay two-way decodeand-forward relaying with random relay selection and fixed power allocations is considered to compare with the proposed SIC-SC protocol, denoted as RRS protocol. Simulation and analysis results show that the non-identical outage performances of the secondary sources in the proposed SIC-SC protocol are improved by increasing the number of the secondary relays and the interference constraint as well as decreasing the residual interference powers. Secondly, the performance of the nearer secondary source is worse than that of the farther secondary source. In addition, the proposed SIC-SC protocol outperforms the RRS comparison protocol, and effect of power allocations through channel powers is discovered. Finally, derived theory values are precise to simulation results. Keywords: Successive interference cancellation, superposition coding, power allocation, underlay cognitive radio, non-orthogonal multiple access, outage probability. 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