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Journal articles on the topic 'Computer Science. Wireless communication systems. Electrical engineering'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Prasad, R. "Wireless Broadband Communication Systems." IEEE Communications Magazine 35, no. 1 (1997): 18. http://dx.doi.org/10.1109/mcom.1997.568189.

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2

Hara, Shinsuke, Hiroyuki Yomo, Petar Popovski, and Kazunori Hayashi. "New Paradigms in Wireless Communication Systems." Wireless Personal Communications 37, no. 3-4 (2006): 233–41. http://dx.doi.org/10.1007/s11277-006-9036-7.

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3

Solyman, Ahmad A. A., and Ismail A. Elhaty. "Potential key challenges for terahertz communication systems." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (2021): 3403. http://dx.doi.org/10.11591/ijece.v11i4.pp3403-3409.

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The vision of 6G communications is an improved performance of the data rate and latency limitations and permit ubiquitous connectivity. In addition, 6G communications will adopt a novel strategy. Terahertz (THz) waves will characterize 6G networks, due to 6G will integrate terrestrial wireless mobile communication, geostationary and medium and low orbit satellite communication and short distance direct communication technologies, as well as integrate communication, computing, and navigation. This study discusses the key challenges of THz waves, including path losses which is considered the main challenge; transceiver architectures and THz signal generators; environment of THz with network architecture and 3D communications; finally, Safety and health issues.

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4

Wu, Yongpeng, Xiqi Gao, Shidong Zhou, Wei Yang, Yury Polyanskiy, and Giuseppe Caire. "Massive Access for Future Wireless Communication Systems." IEEE Wireless Communications 27, no. 4 (2020): 148–56. http://dx.doi.org/10.1109/mwc.001.1900494.

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5

Del Re, E., S. Morosi, D. Marabissi, L. Mucchi, L. Pierucci, and L. S. Ronga. "Reconfigurable Antenna for Future Wireless Communication Systems." Wireless Personal Communications 42, no. 3 (2007): 405–30. http://dx.doi.org/10.1007/s11277-006-9185-8.

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6

Juan, Hung-Hui, and Chingyao Huang. "Analytical model for wireless communication systems." IEEE Communications Letters 14, no. 6 (2010): 569–71. http://dx.doi.org/10.1109/lcomm.2010.06.090400.

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7

Bhatt, Maharshi K., Bhavin S. Sedani, and Komal Borisagar. "Performance analysis of massive multiple input multiple output for high speed railway." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 5180. http://dx.doi.org/10.11591/ijece.v11i6.pp5180-5188.

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This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communications are fast time-varying fading, channel estimation errors, doppler diversity, carrier frequency offset, inter carrier interference, high penetration loss and fast and frequent handovers. Therefore, crucial requirement to design high mobility communication channel models or systems prevails. Recently, massive MIMO techniques have been proposed to significantly improve the performance of wireless networks for upcoming 5G technology. Massive MIMO provide high throughput and high energy efficiency in wireless communication channel. In this paper, key findings, challenges and requirements to provide high speed wireless communication onboard the high speed train is pointed out after thorough literature review. In last, future research scope to bridge the research gap by designing efficient channel model by using massive MIMO and other optimization method is mentioned.

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8

Lu, Dingqing, and Zhengrong Zhou. "Integrated solutions for testing wireless communication systems." IEEE Communications Magazine 49, no. 6 (2011): 96–100. http://dx.doi.org/10.1109/mcom.2011.5783992.

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9

Ping, Li, Qinghua Guo, and Jun Tong. "The OFDM-IDMA approach to wireless communication systems." IEEE Wireless Communications 14, no. 3 (2007): 18–24. http://dx.doi.org/10.1109/mwc.2007.386608.

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10

Dakulagi, Veerendra, and Mohammed Bakhar. "Advances in Smart Antenna Systems for Wireless Communication." Wireless Personal Communications 110, no. 2 (2019): 931–57. http://dx.doi.org/10.1007/s11277-019-06764-6.

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11

Wu, Liang, Zaichen Zhang, and Huaping Liu. "Transmit Beamforming for MIMO Optical Wireless Communication Systems." Wireless Personal Communications 78, no. 1 (2014): 615–28. http://dx.doi.org/10.1007/s11277-014-1774-3.

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12

Arnon, S. "Optimization of urban optical wireless communication systems." IEEE Transactions on Wireless Communications 24, no. 5 (2003): 626–29. http://dx.doi.org/10.1109/twc.2003.814351.

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13

Sheikh, A. U. H. "Wireless communication technologies: new multimedia systems [Book Review]." IEEE Communications Magazine 39, no. 11 (2001): 36–52. http://dx.doi.org/10.1109/mcom.2001.965354.

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14

Denidni, Tayeb A., and Qinjiang Rao. "Ultra-wideband slot antenna for wireless communication systems." International Journal of RF and Microwave Computer-Aided Engineering 16, no. 4 (2006): 408–13. http://dx.doi.org/10.1002/mmce.20161.

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15

Antony, Anu, and Preethi Bhasker. "PROOF OF CONCEPTS OF WIRELESS COMMUNICATION SYSTEMS - ACOUSTIC MODEM." Far East Journal of Electronics and Communications 22, no. 1-2 (2019): 29–38. http://dx.doi.org/10.17654/ec022020029.

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16

Qian, Yi. "Internet of Things and Next Generation Wireless Communication Systems." IEEE Wireless Communications 28, no. 4 (2021): 2–3. http://dx.doi.org/10.1109/mwc.2021.9535460.

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17

Thompson, John, Xiaohu Ge, Hsiao-Chun Wu, et al. "5G wireless communication systems: prospects and challenges [Guest Editorial]." IEEE Communications Magazine 52, no. 2 (2014): 62–64. http://dx.doi.org/10.1109/mcom.2014.6736744.

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18

Wong, A. H., M. J. Neve, and K. W. Sowerby. "Antenna selection and deployment strategies for indoor wireless communication systems." IET Communications 1, no. 4 (2007): 732. http://dx.doi.org/10.1049/iet-com:20050487.

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19

Chowdhry, Bhawani Shankar, Javier Poncela, Muhammad Aamir, Pablo Otero, and Thomas Newe. "Special Issue: Technological Advancements in Wireless and Optical Communication Systems." Wireless Personal Communications 106, no. 4 (2019): 1669–76. http://dx.doi.org/10.1007/s11277-019-06541-5.

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20

Hanlen, L., and M. Fu. "Wireless communication systems with-spatial diversity: a volumetric model." IEEE Transactions on Wireless Communications 5, no. 1 (2006): 133–42. http://dx.doi.org/10.1109/twc.2006.1576537.

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21

Khalid, Farhan, and Joachim Speidel. "Robust Hybrid Precoding for Multiuser MIMO Wireless Communication Systems." IEEE Transactions on Wireless Communications 13, no. 6 (2014): 3353–63. http://dx.doi.org/10.1109/twc.2014.041714.130273.

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22

Cruz-Perez, F. A., and L. Ortigoza-Guerrero. "Capacity Optimization in Wireless Communication Systems With Mixed Platforms." IEEE Communications Letters 8, no. 4 (2004): 217–19. http://dx.doi.org/10.1109/lcomm.2004.825720.

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23

O, Beena A., and Sakuntala S. Pillai. "Performance of an Adaptive Compander in Wireless Mobile Communication Systems." International Journal of Mobile Communications 17, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijmc.2019.10015530.

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24

Sebastião, P. J. A., F. A. B. Cercas, and A. V. T. Cartaxo. "Performance of channel codes in wireless communication systems using efficient simulation." IET Communications 5, no. 13 (2011): 1939–46. http://dx.doi.org/10.1049/iet-com.2010.0447.

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25

Wu, C. H., and C. A. Lin. "Adaptive second-order control of transmitter power in wireless communication systems." IET Communications 5, no. 7 (2011): 961–66. http://dx.doi.org/10.1049/iet-com.2010.0616.

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26

Xiang, Feng, and Li Jiandong. "A Hierarchical Digital Modulation Classification Algorithm for Adaptive Wireless Communication Systems." Wireless Personal Communications 39, no. 3 (2006): 321–26. http://dx.doi.org/10.1007/s11277-006-9055-4.

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27

Kim, Hun Seok, and Babak Daneshrad. "Energy-Constrained Link Adaptation for MIMO OFDM Wireless Communication Systems." IEEE Transactions on Wireless Communications 9, no. 9 (2010): 2820–32. http://dx.doi.org/10.1109/twc.2010.062910.090983.

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28

Einolghozati, Arash, Mohsen Sardari, and Faramarz Fekri. "Design and Analysis of Wireless Communication Systems Using Diffusion-Based Molecular Communication Among Bacteria." IEEE Transactions on Wireless Communications 12, no. 12 (2013): 6096–105. http://dx.doi.org/10.1109/twc.2013.101813.121884.

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29

Eyssa, Asmaa Abdelmonem, Fathi Elsaid Abdelsamie, and Abdelaziz Elsaid Abdelnaiem. "An Efficient Image Steganography Approach over Wireless Communication System." Wireless Personal Communications 110, no. 1 (2019): 321–37. http://dx.doi.org/10.1007/s11277-019-06730-2.

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Abstract This paper presents a robust color image steganography approach for image communication over wireless communication systems. The objective of this approach is to hide three color images in one color cover image to increase the capacity of hiding as most previously published steganography approaches suffer from a capacity problem. Moreover, the investigation of wireless communication of steganography images is presented in this paper to study the sensitivity of extraction of hidden images to the channel degradation effects, which is not studied appropriately in the literature. The proposed approach depends on the Discrete Cosine and Discrete Wavelet transform. The cover image is first transformed to luminance and chrominance components for embedding the images to be hidden. The secret images are encrypted by chaotic Baker map, which is a good representative of the family of permutation-based algorithms, which tolerate the channel degradations better. The investigated wireless communication system is the Orthogonal Frequency Division Multiplexing system with channel equalization. The simulation results reveal the success of the proposed work for robust image communication.

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30

Underberg, Lisa. "Hybrid wired-wireless communication networks for factory automation." at - Automatisierungstechnik 68, no. 12 (2020): 1077–78. http://dx.doi.org/10.1515/auto-2020-0150.

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AbstractThis thesis investigates a wireless communication network that is suitable to be deployed as a transparent intermediate wireless network within a hybrid wired-wireless network serving industrial applications with strict timing and reliability requirements. Physical layer and medium access scheme are in focus.

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31

Zhang, Qian, Julian Cheng, and George K. Karagiannidis. "Block error rate of optical wireless communication systems over atmospheric turbulence channels." IET Communications 8, no. 5 (2014): 616–25. http://dx.doi.org/10.1049/iet-com.2013.0164.

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32

Lin, Junliang, Gongpu Wang, Rongfei Fan, Yulong Zou, Theodoros A. Tsiftsis, and Chintha Tellambura. "Feature-oriented channel estimation in reconfigurable intelligent surface-assisted wireless communication systems." IET Communications 14, no. 19 (2020): 3458–63. http://dx.doi.org/10.1049/iet-com.2020.0372.

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33

Arora, D., and P. Agathoklis. "Beamforming technique to solve the hidden beam problem in wireless communication systems." IET Communications 3, no. 11 (2009): 1747. http://dx.doi.org/10.1049/iet-com.2008.0362.

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34

Ma, Miao, and Erry Gunawan. "A MAC Protocol for Multimedia Traffic in Slotted CDMA Wireless Communication Systems." Wireless Personal Communications 33, no. 2 (2005): 153–76. http://dx.doi.org/10.1007/s11277-005-3419-z.

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35

Zhaogan, Lu, Rao Yuan, Zhang Taiyi, and Wang Liejun. "Multiuser MIMO OFDM Based TDD/TDMA for Next Generation Wireless Communication Systems." Wireless Personal Communications 52, no. 2 (2008): 289–324. http://dx.doi.org/10.1007/s11277-008-9649-0.

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36

Thompson, John, Xiaohu Ge, Hsiao-Chun Wu, et al. "5G wireless communication systems: prospects and challenges part 2 [Guest Editorial]." IEEE Communications Magazine 52, no. 5 (2014): 24–26. http://dx.doi.org/10.1109/mcom.2014.6815889.

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37

Akyildiz, I. F., S. Mohanty, and Jiang Xie. "A ubiquitous mobile communication architecture for next-generation heterogeneous wireless systems." IEEE Communications Magazine 43, no. 6 (2005): S29—S36. http://dx.doi.org/10.1109/mcom.2005.1452832.

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38

Honglin Hu, M. Weckerle, and J. Luo. "Adaptive transmission mode selection scheme for distributed wireless communication systems." IEEE Communications Letters 10, no. 7 (2006): 573–75. http://dx.doi.org/10.1109/lcom.2006.224423.

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39

Cruz-Perez, F. A., G. Hernandez-Valdez, and L. Ortigoza-Guerrero. "Performance evaluation of mobile wireless communication systems with link adaptation." IEEE Communications Letters 7, no. 12 (2003): 587–89. http://dx.doi.org/10.1109/lcomm.2003.821327.

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40

Honglin Hu, M. Weckerle, and Jijun Luo. "Adaptive transmission mode selection scheme for distributed wireless communication systems." IEEE Communications Letters 10, no. 7 (2006): 573–75. http://dx.doi.org/10.1109/lcomm.2006.1673017.

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41

Choi, R. L. U., and R. D. Murch. "New transmit schemes and simplified receivers for mimo wireless communication systems." IEEE Transactions on Wireless Communications 2, no. 6 (2003): 1217–30. http://dx.doi.org/10.1109/twc.2003.819024.

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42

Jun Cai, Xuemin Shen, and J. W. Mark. "Downlink resource management for packet transmission in OFDM wireless communication systems." IEEE Transactions on Wireless Communications 4, no. 4 (2005): 1688–703. http://dx.doi.org/10.1109/twc.2005.850272.

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43

Kiasaleh, Kamran. "Reverse link erlang capacity of time-hopping/TDMA wireless communication systems." IEEE Transactions on Wireless Communications 6, no. 1 (2007): 320–29. http://dx.doi.org/10.1109/twc.2007.05223.

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44

Van, Hoang Thien, Vo Tien Anh, Danh Hong Le, Ma Quoc Phu, and Hoang-Sy Nguyen. "Outage performance analysis of non-orthogonal multiple access systems with RF energy harvesting." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4135. http://dx.doi.org/10.11591/ijece.v11i5.pp4135-4142.

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Non-orthogonal multiple access (NOMA) has drawn enormous attention from the research community as a promising technology for future wireless communications with increasing demands of capacity and throughput. Especially, in the light of fifth-generation (5G) communication where multiple internet-of-things (IoT) devices are connected, the application of NOMA to indoor wireless networks has become more interesting to study. In view of this, we investigate the NOMA technique in energy harvesting (EH) half-duplex (HD) decode-and-forward (DF) power-splitting relaying (PSR) networks over indoor scenarios which are characterized by log-normal fading channels. The system performance of such networks is evaluated in terms of outage probability (OP) and total throughput for delay-limited transmission mode whose expressions are derived herein. In general, we can see in details how different system parameters affect such networks thanks to the results from Monte Carlo simulations. For illustrating the accuracy of our analytical results, we plot them along with the theoretical ones for comparison.

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45

Huang, M., P. E. Caines, and R. P. Malhame. "Uplink Power Adjustment in Wireless Communication Systems: A Stochastic Control Analysis." IEEE Transactions on Automatic Control 49, no. 10 (2004): 1693–708. http://dx.doi.org/10.1109/tac.2004.835388.

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46

Varma, Vineeth Satheeskumar, Andre Marcorin de Oliveira, Romain Postoyan, Irinel-Constantin Morarescu, and Jamal Daafouz. "Energy-Efficient Time-Triggered Communication Policies for Wireless Networked Control Systems." IEEE Transactions on Automatic Control 65, no. 10 (2020): 4324–31. http://dx.doi.org/10.1109/tac.2019.2953816.

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47

Düngen, Monique, Thomas Hansen, Ramona Croonenbroeck, et al. "Channel measurement campaigns for wireless industrial automation." at - Automatisierungstechnik 67, no. 1 (2019): 7–28. http://dx.doi.org/10.1515/auto-2018-0052.

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Abstract The factories of the future will be highly digitalized in order to enable flexible and interconnected manufacturing processes. Especially wireless technologies will be beneficial for industrial automation. However, the high density of metallic objects is challenging for wireless systems due to multipath fading. In order to understand the signal propagation in industrial environments, this paper provides results from a number of channel measurement campaigns funded by the German research initiative “Reliable wireless communication in the industry”. We give an overview of different measurement scenarios covering visible light communication and radio communication below 6 GHz. We analyze large and small scale parameters as well as delay statistics of the wireless channels. Finally, we discuss the importance of the results for the definition of industrial channel models.

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48

Huang, Mingfeng, Anfeng Liu, Neal N. Xiong, Tian Wang, and Athanasios V. Vasilakos. "A Low-Latency Communication Scheme for Mobile Wireless Sensor Control Systems." IEEE Transactions on Systems, Man, and Cybernetics: Systems 49, no. 2 (2019): 317–32. http://dx.doi.org/10.1109/tsmc.2018.2833204.

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49

Pudji Astuti, Rina, Andriyan B. Suksmono, Sugihartono Sugihartono, and Adit Kurniawan. "A Novel Multiple-Output DUSTF Coding on High Mobility MIMO-Wireless Communication Systems." ITB Journal of Information and Communication Technology 2, no. 2 (2008): 81–102. http://dx.doi.org/10.5614/itbj.ict.2008.2.2.1.

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50

Kumar, Anmol, Jyoti Saxena, Ritesh Kumar, and Rishemjit Kaur. "MAI Mitigation in MC-CDMA Systems Using Social Impact Based Wireless Communication Algorithm." Wireless Personal Communications 101, no. 3 (2018): 1765–86. http://dx.doi.org/10.1007/s11277-018-5791-5.

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