Journal articles on the topic 'Wireless communications'

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1

Steele, Raymond. "Wireless communications + + +." Annales Des Télécommunications 56, no. 5-6 (May 2001): 344–52. http://dx.doi.org/10.1007/bf03001336.

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2

Webb, William. "Wireless Communications." International Journal of Interdisciplinary Telecommunications and Networking 1, no. 1 (January 2009): 9–18. http://dx.doi.org/10.4018/jitn.2009010102.

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3

SIMPSON, ROY L. "Wireless Communications." Nursing Management (Springhouse) 27, no. 11 (November 1996): 20???24. http://dx.doi.org/10.1097/00006247-199611000-00004.

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4

Javornik, Tomaž, Andrej Hrovat, and Aleš Švigelj. "Radio Technologies for Environment-Aware Wireless Communications." WSEAS TRANSACTIONS ON COMMUNICATIONS 21 (December 31, 2022): 250–66. http://dx.doi.org/10.37394/23204.2022.21.30.

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The contemporary wireless transmitter in addition to information symbols transmits also training symbols in order to help the receivers in the estimation of the information symbols by estimating the channel state information (CSI). In this paper, we look at existing wireless communication technologies in light of environment-aware wireless communications, which is a new concept of wireless communications that queries the time-invariant CSI from the local or global database, using information about the transmitter and receiver location. Thus, this study is the first critical review of the potential of today’s terrestrial wireless communication systems including wireless cellular technologies (GSM, UMTS, LTE, NR), wireless local area networks (WLANs), and wireless sensor networks (WSNs), for estimating CSI, the ratio between training and information symbols and the rate of channel variation, and the potential use of time invariable CSI in environment aware wireless communications. The research reveals, that early communication systems provide means for narrowband channel estimation and the CSI is only available as channel attenuation based on signal level measurements. By increasing the frequency bandwidth of communications, the CSI is estimated in some form of channel impulse response (CIR) in almost all currently used radio technologies, but this information is generally not available outside the communication systems. Also, the CSI is estimated only for the channel with active communications. The new radio technology (NR) offers the possibility of estimating the CIR for non-active channels as well, and thus the possibility of initiating environmentally aware wireless communications.
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5

Wen, Li Jia, and Xin Li. "The Research of CIR Based on Communication Technology of GSM-R." Applied Mechanics and Materials 713-715 (January 2015): 1269–72. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1269.

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In order to realize the wireless communication function of railway locomotives, Cab Integrated Wireless communication equipment (referred to as CIR) as the railway wireless communication system in China's railway locomotives equipment, because has powerful functions, high degree of standardization, and flexible operating characteristics emerged. CRI is based on the GSM-R digital mobile communication technology, GPS global positioning technology, 450MHz and 800MHz analog wireless communications technology such as the development of comprehensive in-vehicle communications equipment. It is the ground of GSM-R equipment and 450MHz, 800MHz and other ground equipment, together form a complete rail integrated wireless communications network.
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6

Wang, Haichao, Jinlong Wang, Guoru Ding, and Zhu Han. "D2D Communications Underlaying Wireless Powered Communication Networks." IEEE Transactions on Vehicular Technology 67, no. 8 (August 2018): 7872–76. http://dx.doi.org/10.1109/tvt.2018.2832068.

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7

Chen, Zhi, Chong Han, Xianbin Yu, Guangjian Wang, Nan Yang, and Mugen Peng. "Terahertz wireless communications." China Communications 18, no. 5 (May 2021): iii—vii. http://dx.doi.org/10.23919/jcc.2021.9444234.

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8

Zhendao Wang and G. B. Giannakis. "Wireless multicarrier communications." IEEE Signal Processing Magazine 17, no. 3 (May 2000): 29–48. http://dx.doi.org/10.1109/79.841722.

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9

Cassara, F. A. "Wireless Communications Laboratory." IEEE Transactions on Education 49, no. 1 (February 2006): 132–40. http://dx.doi.org/10.1109/te.2005.863428.

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10

Kahn, J. M., and J. R. Barry. "Wireless infrared communications." Proceedings of the IEEE 85, no. 2 (1997): 265–98. http://dx.doi.org/10.1109/5.554222.

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11

Poncela, J., M. C. Aguayo, and P. Otero. "Wireless Underwater Communications." Wireless Personal Communications 64, no. 3 (March 31, 2012): 547–60. http://dx.doi.org/10.1007/s11277-012-0600-z.

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12

O'Callaghan, Jim. "Implementing wireless communications." Sensor Review 23, no. 2 (June 2003): 102–8. http://dx.doi.org/10.1108/02602280310468198.

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13

Elmirghani, J. M. H. "Optical wireless communications." IEEE Communications Magazine 41, no. 3 (March 2003): 48. http://dx.doi.org/10.1109/mcom.2003.1186544.

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14

Pahlavan, K., and A. H. Levesque. "Wireless data communications." Proceedings of the IEEE 82, no. 9 (1994): 1398–430. http://dx.doi.org/10.1109/5.317085.

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15

Terré, Michel, Bernhard Walke, Luis M. Correia, and Alain Sibille. "Wireless communications systems." annals of telecommunications - annales des télécommunications 63, no. 5-6 (June 2008): 237–38. http://dx.doi.org/10.1007/s12243-008-0041-6.

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16

Valenzuela, Reinaldo A., and Kristin F. Kocan. "Future wireless communications." Bell Labs Technical Journal 10, no. 2 (August 3, 2005): 1–3. http://dx.doi.org/10.1002/bltj.20090.

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17

Ahmed, Iqrar, Heikki Karvonen, Timo Kumpuniemi, and Marcos Katz. "Wireless Communications for the Hospital of the Future: Requirements, Challenges and Solutions." International Journal of Wireless Information Networks 27, no. 1 (October 28, 2019): 4–17. http://dx.doi.org/10.1007/s10776-019-00468-1.

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Abstract In this conceptual paper, we discuss the concept of hospital of the future (HoF) and the requirements for its wireless connectivity. The HoF will be mostly wireless, connecting patients, healthcare professionals, sensors, computers and medical devices. Spaces of the HoF are first characterized in terms of communicational performance requirements. In order to fulfil the stringent requirements of future healthcare scenarios, such as enhanced performance, security, safety, privacy, and spectrum usage, we propose a flexible hybrid optical-radio wireless network to provide efficient, high-performance wireless connectivity for the HoF. We introduce the concept of connected HoF exploiting reconfigurable hybrid optical-radio networks. Such a network can be dynamically reconfigured to transmit and receive optical, radio or both signals, depending on the requirements of the application. We envisage that HoF will consist of numerous communication devices and hybrid optical-radio access points to transmit data using radio waves and visible light. Light-based communications exploit the idea of visible light communications (VLC), where solid-state luminaries, white light-emitting diodes (LEDs) provide both room illumination as well as optical wireless communications (OWC). The hybrid radio-optical communication system can be used in principle in every scenario of the HoF. In addition to the hybrid access, we also propose a reconfigurable optical-radio communications wireless body area network (WBAN), extending the conventional WBAN to more generic and highly flexible solution. As the radio spectrum is becoming more and more congested, hybrid wireless network approach is an attractive solution to use the spectrum more efficiently. The concept of HoF aims at enhancing healthcare while using hospital resources efficiently. The enormous surge in novel communication technologies such as internet of things (IoT) sensors and wireless medical communications devices could be undermined by spectral congestion, security, safety and privacy issues of radio networks. The considered solution, combining optical and radio transmission network could increase spectral efficiency, enhancing privacy while reducing patient exposure to radio frequency (RF). Parallel radio-optical communications can enhance reliability and security. We also discuss possible operation scenarios and applications that can be introduced in HoF as well as outline potential challenges.
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18

Eswaran, Sivaraman. "Opportunities and Trends of Wireless Communications." IRO Journal on Sustainable Wireless Systems 4, no. 2 (July 25, 2022): 102–9. http://dx.doi.org/10.36548/jsws.2022.2.004.

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Wireless communication is a process of transferring information from one place to another place through radio waves. The transfer of information can be either an image or numerical data or voice or video. The design of wireless modules were started to come for a general user in the late 20th century but it has not been accepted in many applications due to its quality degrade over the wired systems. In the beginning of 21st century the improvisation of electronic chips, antenna and microcontroller made the radio wave communication to move forward in a faster way and that made the wireless voice communication as very popular. The paper analyzes the current status of wireless communication in different states and projects the research opportunities by exploring the future expectations of wireless communications.
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19

Peach, M. "Wireless volume turned up [wireless industrial communications]." Computing and Control Engineering 15, no. 4 (August 1, 2004): 28–33. http://dx.doi.org/10.1049/cce:20040410.

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20

SHUKLA, PRATIBHA, and Akhilesh A. Waoo. "Bitter Rate of Performance in Wireless Communications on 5G Technology." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (December 23, 2023): 1–13. http://dx.doi.org/10.55041/ijsrem27705.

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Wireless communications have become an integral part of our modern society, enabling seamless connectivity and data exchange. The bit rate of performance in wireless communication systems plays a crucial role in determining the quality of service and user experience. This abstract provides an overview of key factors influencing bit rate in wireless communications and highlights the challenges and advancements in optimizing performance. The bit rate, often measured in bits per second (bps) or multiples thereof, quantifies the rate at which data can be transmitted over a wireless channel. Several factors impact the bit rate in wireless communications, including the available bandwidth, modulation schemes, signal-to- noise ratio (SNR), and channel conditions. The bit rate is closely related to the achievable data throughput and is a critical metric for assessing the efficiency of wireless networks. Wireless technologies, such as 4G and 5G, have significantly increased the bit rates achievable for mobile communication. These technologies employ advanced modulation techniques and multiple-input, multiple- output (MIMO) systems to enhance spectral efficiency and data rates. Additionally, the deployment of small cells and the use of high-frequency bands have improved data rates and reduced latency in wireless networks. However, challenges persist in optimizing bit rates for wireless communications. Factors like signal interference, fading, and path loss can degrade performance. Moreover, the ever- increasing demand for data-intensive applications and the proliferation of IoT devices put additional pressure on wireless networks to deliver higher bit rates with low latency. To address these challenges, ongoing research focuses on developing advanced signal processing algorithms, beamforming techniques, and error correction mechanisms. Machine learning and artificial intelligence are also being employed to optimize wireless communication systems and enhance bit rates.
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21

Chae, Chan-Byoun, Antonio Forenza, Robert Heath, Matthew McKay, and Iain Collings. "Adaptive MIMO transmission techniques for broadband wireless communication systems [Topics in Wireless Communications." IEEE Communications Magazine 48, no. 5 (May 2010): 112–18. http://dx.doi.org/10.1109/mcom.2010.5458371.

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22

Leccese, Fabio, and Giuseppe Schirripa Spagnolo. "State-of-the art and perspectives of underwater optical wireless communications." ACTA IMEKO 10, no. 4 (December 30, 2021): 25. http://dx.doi.org/10.21014/acta_imeko.v10i4.1097.

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In scientific, military, and industrial sectors, the development of robust and efficient submarine wireless communication links is of enormous interest. Underwater wireless communications can be carried out through acoustic, radio frequency (RF), and optical waves. Underwater optical communication is not a new idea, but it has recently been considered because seawater exhibits a window of reduced absorption both in the visible spectrum and long-wavelength UV light (UV-A). Compared to its bandwidth limited acoustic counterpart, underwater optical wireless communications (UOWCs) can support higher data rates at low latency levels. Underwater wireless communication networks are important in ocean exploration, military tactical operations, environmental and water pollution monitoring. Anyway, given the rapid development of UOWC technology, documents are still needed showing the state of the art and the progress made by the most current research. This paper aims to examine current technologies, and those potentially available soon, for Underwater Optical Wireless Communication and to propose a new perspective using UV-A radiation.
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23

Budinger, Thomas F. "Biomonitoring with Wireless Communications." Annual Review of Biomedical Engineering 5, no. 1 (August 2003): 383–412. http://dx.doi.org/10.1146/annurev.bioeng.5.040202.121653.

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24

Lu, W. W. "Topics in wireless communications." IEEE Communications Magazine 39, no. 10 (October 2001): 114. http://dx.doi.org/10.1109/mcom.2001.956122.

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25

Boucouvalas, A. C., and Z. Ghassemlooy. "Editorial: Optical Wireless Communications." IEE Proceedings - Optoelectronics 147, no. 4 (August 1, 2000): 279. http://dx.doi.org/10.1049/ip-opt:20000682.

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26

Boucouvalas, A. "Editorial: Optical wireless communications." IEE Proceedings - Optoelectronics 150, no. 5 (October 1, 2003): 425–26. http://dx.doi.org/10.1049/ip-opt:20031118.

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27

Cooklev, Todor, Leif Wilhelmsson, and Masayuki Ariyoshi. "Wireless and Radio Communications." IEEE Communications Standards Magazine 1, no. 4 (December 2017): 22–23. http://dx.doi.org/10.1109/mcomstd.2017.8258594.

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28

Cooklev, Todor, Leif Wilhelmsson, and Masayuki Ariyoshi. "Wireless and Radio Communications." IEEE Communications Standards Magazine 2, no. 4 (December 2018): 42. http://dx.doi.org/10.1109/mcomstd.2018.8636832.

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29

Cooklev, Todor, Leif Wilhelmsson, and Peiying Zhu. "Wireless and Radio Communications." IEEE Communications Standards Magazine 3, no. 3 (September 2019): 18. http://dx.doi.org/10.1109/mcomstd.2019.8928161.

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30

Cooklev, Todor, Leif Wilhelmsson, and Peiying Zhu. "Wireless and Radio Communications." IEEE Communications Standards Magazine 4, no. 3 (September 2020): 12. http://dx.doi.org/10.1109/mcomstd.2020.9204592.

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31

"Wireless communications." Choice Reviews Online 43, no. 08 (April 1, 2006): 43–4686. http://dx.doi.org/10.5860/choice.43-4686.

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32

"Wireless communications." Choice Reviews Online 43, no. 09 (May 1, 2006): 43–5310. http://dx.doi.org/10.5860/choice.43-5310.

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33

"Call for papers: IEEE Wireless Communications Letters." IEEE Journal on Selected Areas in Communications 30, no. 11 (December 2012): 2312. http://dx.doi.org/10.1109/jsac.2012.12.wireless.

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34

"Call for Papers: IEEE Wireless Communications Letters." IEEE Journal on Selected Areas in Communications 31, no. 2 (February 2013): 343. http://dx.doi.org/10.1109/jsac.2013.02.wireless.

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35

"Mobile wireless communications." Choice Reviews Online 43, no. 01 (September 1, 2005): 43–0344. http://dx.doi.org/10.5860/choice.43-0344.

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36

"IEEE Wireless Communications." IEEE Wireless Communications 10, no. 6 (December 2003): 0_1. http://dx.doi.org/10.1109/mwc.2003.1265841.

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37

"IEEE Wireless Communications." IEEE Wireless Communications 11, no. 1 (February 2004): 0_1. http://dx.doi.org/10.1109/mwc.2004.1269706.

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38

"IEEE Wireless Communications." IEEE Wireless Communications 11, no. 2 (April 2004): 0_1. http://dx.doi.org/10.1109/mwc.2004.1295727.

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39

"IEEE Wireless Communications." IEEE Wireless Communications 11, no. 3 (June 2004): 01. http://dx.doi.org/10.1109/mwc.2004.1308880.

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40

"IEEE Wireless Communications." IEEE Wireless Communications 11, no. 6 (December 2004): 01. http://dx.doi.org/10.1109/mwc.2004.1368888.

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41

"IEEE Wireless Communications." IEEE Wireless Communications 12, no. 1 (February 2005): 01. http://dx.doi.org/10.1109/mwc.2005.1404565.

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42

"IEEE Wireless Communications." IEEE Wireless Communications 12, no. 2 (April 2005): 01. http://dx.doi.org/10.1109/mwc.2005.1421920.

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43

"IEEE Wireless Communications." IEEE Wireless Communications 12, no. 5 (October 2005): 01. http://dx.doi.org/10.1109/mwc.2005.1522093.

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44

"IEEE Wireless Communications." IEEE Wireless Communications 13, no. 4 (August 2006): 01. http://dx.doi.org/10.1109/mwc.2006.1678156.

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45

"IEEE Wireless Communications." IEEE Wireless Communications 17, no. 3 (June 2010): c1. http://dx.doi.org/10.1109/mwc.2010.5490969.

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46

"IEEE Wireless Communications." IEEE Wireless Communications 17, no. 4 (August 2010): c1. http://dx.doi.org/10.1109/mwc.2010.5547912.

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47

"IEEE Wireless Communications." IEEE Wireless Communications 17, no. 6 (December 2010): c1. http://dx.doi.org/10.1109/mwc.2010.5675767.

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48

"IEEE Wireless Communications." IEEE Wireless Communications 18, no. 2 (April 2011): c1. http://dx.doi.org/10.1109/mwc.2011.5751284.

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49

"IEEE Wireless Communications." IEEE Wireless Communications 18, no. 3 (June 2011): C1. http://dx.doi.org/10.1109/mwc.2011.5876490.

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50

Ducournau, Guillaume. "Terahertz wireless communications." Photoniques, March 2017, 32–37. http://dx.doi.org/10.1051/photon/2017s232.

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