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Journal articles on the topic 'Radio Intelligente'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Maffesoli, Michel. "In Memoriam Jean Baudrillard 13 mars 10h cimetière du Montparnasse." Revista FAMECOS 14, no. 32 (2008): 7. http://dx.doi.org/10.15448/1980-3729.2007.32.3406.

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D’une manière plus ou moins honnête et intelligente, selon les média: presse, radio, télévision, internet , tout a été dit ou sera dit sur l’apport théorique de Jean BAUDRILLARD. Aussi même si cela ne manquerait pas de le faire sourire, on peut se contenter de rappeler sa très grande gentillesse c’est à dire sa profonde humanité. Il y a toujours un acte fondateur, un souvenir original, et c’est cela qui m’avait frappé lors de notre première rencontre, en 1972. Voilà, également, ce que l’on pouvait constater dans les contacts humains que l’on avait avec lui, et qui était, visiblement, perceptib

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Chen, Tao, Hsiao-Hwa Chen, Zheng Chang, and Shiwen Mao. "Intelligent Radio: When Artificial Intelligence Meets the Radio Network." IEEE Wireless Communications 27, no. 1 (2020): 6–8. http://dx.doi.org/10.1109/mwc.2020.9023916.

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Wu, Tong. "Design and Application of Intelligent House Robot." Learning & Education 9, no. 3 (2020): 49. http://dx.doi.org/10.18282/l-e.v9i3.1572.

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As a family-oriented hexapod bionic intelligent house robot, it takes life safety monitoring, intelligent house control, air quality detection, family security, automatic inspection and obstacle avoidance as its main functions. Combined with core technologies including Face and Radio Frequency Identification, Electromagnetic Resonance and Induction, LAM, Intelligent Navigation and Cloud Robot, the robot is established a unique triangular gait in the form of hexapod, which can maintain the function and action stability in various environments, thus become a family housekeeper with multiful func

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4

Mao, Hong Yan. "Research of Spectrum Detecting Technology on Cognitive Radio." Applied Mechanics and Materials 433-435 (October 2013): 911–14. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.911.

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Cognitive radio (CR) is an intelligent spectrum sharing technology. It can improve the spectrum utilization by sensing spectrum environment, learning intelligently and adjusting the transmission parameters. The discussion is focused on spectrum detecting technology in cognitive radio. Spectrum detecting algorithms are analyzed and compared .The centralized cooperative spectrum detection method, distributed cooperative spectrum sensing method and relay cooperative spectrum detection method are analyzed also.

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Haoxiang, Wang. "MULTI-OBJECTIVE OPTIMIZATION ALGORITHM FOR POWER MANAGEMENT IN COGNITIVE RADIO NETWORKS." Journal of Ubiquitous Computing and Communication Technologies 2019, no. 02 (2019): 97–109. http://dx.doi.org/10.36548/jucct.2019.2.004.

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The cognitive radio networks is an adaptive and intelligent radio network that is capable of automatically identifying the available channels in the spectrum that is wireless. Cognitive radios modify the parameters supporting the conveyance according to the needs of communication to enhance the operating radio behavior and avail a concurrent communication within the allotted spectrum band at one location. To improvise the parameter configuration the intelligent optimization techniques are been followed nowadays. The paper puts forth a multi-objective optimization algorithm (MO-OPA) for the pow

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6

Singh, Shobhita. "IoT: A Mainstay Towards Intelligent Computing." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 3192–96. http://dx.doi.org/10.17762/turcomat.v12i3.1561.

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After the .com boom, the next big thing in the 21st century is the “Internet of Things”. The “Internet of Things” is exploding and infusing intelligence globally. From infinitesimal chips to mammoth machineries, billions of smart gadgets communicate with each other with the aid of wireless devices. The day is not far when every physical item will no longer remain disconnected from the virtual world. Presently, your coffee kettle starts automatically when you wake up in the morning and lights go off when you leave home for your office where all devices are controlled/activated through your voic

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Mishra, Subhashree, Sudhansu Sekhar Singh, Bhabani Shankar Prasad Mishra, and Prabin Kumar Panigrahi. "Research on Soft Computing Techniques for Cognitive Radio." International Journal of Mobile Computing and Multimedia Communications 7, no. 2 (2016): 53–73. http://dx.doi.org/10.4018/ijmcmc.2016040104.

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Presently, the world of wireless communication is going under some crucial challenges, which attracts the attention of several researchers. Cognitive radio is defined as a multidimensional aware, autonomous radio system that learns from its experiences to reason, plan & decide future actions to meet user needs. Such a highly varied radio environment calls on intelligent management, allocation & usage of scarce resources. Issues like spectrum sensing & allocation, environmental learning i.e., adaptability & capability to learn attracts the attention of several soft computing lea

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8

Ding, Ye, Shi Gang, and Zhao Wei. "The Design of the Intelligent Health Information Collection Terminal which is Based on the Embedded Technology." Applied Mechanics and Materials 433-435 (October 2013): 1448–51. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1448.

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The paper introduces an Intelligent Terminal which is based on the embedded technology to address the low degree of integration and intelligence of the current Health Collection Information Terminal. The new terminal adopts the design of the structure and function integrating method to integrate six health parameter measuring functions in one suit, including Electrocardiogram (ECG), Respiratory Rate, Blood Oxygen, Body Temperature, Blood Pressure and Pulse) , which is easy to carry. The additional interpersonal interfaces like storage, printer, monitor, communication and Radio Frequency Identi

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Kurian, Nami Susan, Bhagirathi S, and Arunraj J. "Cognitive Radio Technology � An Intelligent Radio Approach." International Journal of Computing Algorithm 7, no. 1 (2018): 11–18. http://dx.doi.org/10.20894/ijcoa.101.007.001.003.

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10

Comstock, Lieutenant Commander I. W. "RADIO INTELLIGENCE AND SECURITY." Cryptologia 21, no. 4 (1997): 368–77. http://dx.doi.org/10.1080/0161-119791886002.

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11

Ćitić, Tatjana. "Artificial intelligence in media systems: Radio and television." Socioloski pregled 54, no. 4 (2020): 1329–45. http://dx.doi.org/10.5937/socpreg54-29621.

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The development of radio and television is accompanied by technological innovations in the field of business, production, storage and placement of the content. This paper is focused on the application of digital technology which has brought revolutionary possibilities to the media systems in the optimization and integration of work processes, maximum use of resources, time saving, as well as easier exploitation of archived materials and the content placement on digital platforms. The basic thesis of the paper is that the application of artificial intelligence in modern radio-television systems

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12

Qin, Zhijin, and Geoffrey Ye Li. "Pathway to Intelligent Radio." IEEE Wireless Communications 27, no. 1 (2020): 9–15. http://dx.doi.org/10.1109/mwc.001.1900277.

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13

Yakhno, I., O. Malyk, S. Hatsenko, and A. Shyshatskyi. "FOUNDATION OF THE FACTORS AFFECTING THE PLANNING AND MANAGEMENT OF THE RADIOELECTRONIC DEVELOPMENT." Системи управління, навігації та зв’язку. Збірник наукових праць 1, no. 53 (2019): 162–67. http://dx.doi.org/10.26906/sunz.2019.1.162.

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The military-political situation around Ukraine is characterized by high dynamism and instability of events and processes. Against the background of the main task of the Armed Forces of Ukraine at the present stage of development is the intensification of intelligence in order to timely prevent the top leadership of Ukraine about possible armed aggression of the Russian Federation, bringing its troops (forces) to higher levels of combat readiness and preventing the active actions of illegal armed groups. Providing information superiority over the enemy today is becoming a prerequisite for cond

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Ranganathan, Raghuram, Robert Qiu, Zhen Hu, et al. "Cognitive Radio for Smart Grid: Theory, Algorithms, and Security." International Journal of Digital Multimedia Broadcasting 2011 (2011): 1–14. http://dx.doi.org/10.1155/2011/502087.

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Recently, cognitive radio and smart grid are two areas which have received considerable research impetus. Cognitive radios are intelligent software defined radios (SDRs) that efficiently utilize the unused regions of the spectrum, to achieve higher data rates. The smart grid is an automated electric power system that monitors and controls grid activities. In this paper, the novel concept of incorporating a cognitive radio network as the communications infrastructure for the smart grid is presented. A brief overview of the cognitive radio, IEEE 802.22 standard and smart grid, is provided. Exper

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15

Gacanin, Haris, and Marco Di Renzo. "Wireless 2.0: Toward an Intelligent Radio Environment Empowered by Reconfigurable Meta-Surfaces and Artificial Intelligence." IEEE Vehicular Technology Magazine 15, no. 4 (2020): 74–82. http://dx.doi.org/10.1109/mvt.2020.3017927.

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16

Li, Xiao Jing, and Yan Hui Hu. "Discussion of Principle and Application for Internet of Things." Applied Mechanics and Materials 347-350 (August 2013): 3322–25. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3322.

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The concept of Internet of Things (IoT) is opening new horizons in systems intelligence, where physical objects (embedded with sensory, identification and networking capabilities) can interact with other objects through the global infrastructure of wireless/wired Internet. These systems can be monitored and controlled by filtering and processing collected data. Such intelligent design will naturally result in efficient and cost effective systems. The concept of IOT and the architecture of IOT are discussed. The key technologies of IOT, including Radio Frequency Identification technology, Elect

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17

Halligan, J. "RADIO INTELLIGENCE AND COMMUNICATION SECURITY." Cryptologia 18, no. 1 (1994): 52–79. http://dx.doi.org/10.1080/0161-119491882775.

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18

Qian, Yi. "Artificial Intelligence and Radio Networks." IEEE Wireless Communications 27, no. 1 (2020): 2–3. http://dx.doi.org/10.1109/mwc.2020.9023914.

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19

Heller, René. "Decryption of messages from extraterrestrial intelligence using the power of social media – The SETI Decrypt Challenge." International Journal of Astrobiology 18, no. 4 (2018): 296–303. http://dx.doi.org/10.1017/s1473550417000568.

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AbstractWith the advent of modern astronomy, humans might now have acquired the technological and intellectual requirements to communicate with other intelligent beings beyond the solar system, if they exist. Radio signals have been identified as a means for interstellar communication about 60 years ago. And the Square Kilometer Array will be capable of detecting extrasolar radio sources analogous to terrestrial high-power radars out to several tens of light years. The ultimate question is: will we be able to understand the message or, vice versa, if we submit a message to extraterrestrial int

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20

Benmammar, Badr. "Recent Advances on Artificial Intelligence in Cognitive Radio Networks." International Journal of Wireless Networks and Broadband Technologies 9, no. 1 (2020): 27–42. http://dx.doi.org/10.4018/ijwnbt.2020010102.

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Cognitive radio is a form of wireless communication that makes decisions about allocating and managing radio resources after detecting its environment and analyzing the parameters of its radio frequency environment. Decision making in cognitive radio can be based on optimization techniques. In this context, machine learning and artificial intelligence are to be used in cognitive radio networks in order to reduce complexity, obtain resource allocation in a reasonable time and improve the user's quality of service. This article presents recent advances on artificial intelligence in cognitive rad

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21

Rishi, Dr O. P. "Intellectual Intelligent Tutoring System: The ITS with Emotions." International Journal of Engineering and Technology 1, no. 1 (2009): 1–6. http://dx.doi.org/10.7763/ijet.2009.v1.1.

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22

Hatsenko, S. S., Y. M. Koutnyi, V. V. Shypitko, D. O. Hrybovskyi, and O. M. Maksymenko. "METHODOLOGY OF THE RATIONAL DISTRIBUTION OF FORCES AND MEANS OF RADIOELECTRONIC INTELLIGENCE ON THE TASK, OBJECT AND RESEARCH SOURCES FOR THE OPERATIONAL AND TACTICAL CONTROL LINK." Проблеми створення, випробування, застосування та експлуатації складних інформаційних систем, no. 17 (December 30, 2019): 160–72. http://dx.doi.org/10.46972/2076-1546.2019.17.15.

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Armed aggression of the Russian Federation against Ukraine, loss of important industrial potentials, as Topaz State Joint Stock Holding Company, which specialized in the development and production of complex radio engineering systems and complexes, including unique long-range radio intelligence systems and early warning of anti-aircraft anti-aircraft systems Kolchuga radio intelligence provided a significant impetus for the development of radio electronic intelligence (EER) as one of the main, technical types of military intelligence Of Ukraine. Radio-electronic Intelligence of the Armed Force

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23

Periola, Ayodele Abiola, and Olabisi Emmanuel Falowo. "Intelligent Cognitive Radio Models for Enhancing Future Radio Astronomy Observations." Advances in Astronomy 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/5408403.

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Radio astronomy organisations desire to optimise the terrestrial radio astronomy observations by mitigating against interference and enhancing angular resolution. Ground telescopes (GTs) experience interference from intersatellite links (ISLs). Astronomy source radio signals received by GTs are analysed at the high performance computing (HPC) infrastructure. Furthermore, observation limitation conditions prevent GTs from conducting radio astronomy observations all the time, thereby causing low HPC utilisation. This paper proposes mechanisms that protect GTs from ISL interference without perman

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24

Qian, Yi. "Fog Intelligence and Radio Access Networks." IEEE Wireless Communications 27, no. 2 (2020): 2–3. http://dx.doi.org/10.1109/mwc.2020.9085254.

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25

Forgan, D. H., and R. C. Nichol. "A failure of serendipity: the Square Kilometre Array will struggle to eavesdrop on human-like extraterrestrial intelligence." International Journal of Astrobiology 10, no. 2 (2010): 77–81. http://dx.doi.org/10.1017/s1473550410000236.

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AbstractThe Square Kilometre Array (SKA) will operate in frequency ranges often used by military radar and other communications technology. It has been shown that if extraterrestrial intelligences (ETIs) communicate using similar technology, then the SKA should be able to detect such transmissions up to distances of ~100 pc (~300 light years) from Earth. However, Mankind has greatly improved its communications technology over the last century, dramatically reducing signal leakage and making the Earth ‘radio quiet’. If ETIs follow the same pattern as the human race, will we be able to detect th

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26

Pham, Quoc-Viet, Nhan Thanh Nguyen, Thien Huynh-The, Long Bao Le, Kyungchun Lee, and Won-Joo Hwang. "Intelligent Radio Signal Processing: A Survey." IEEE Access 9 (2021): 83818–50. http://dx.doi.org/10.1109/access.2021.3087136.

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27

Tang, Zhi-Ling, Si-Min Li, and Li-Juan Yu. "Implementation of Deep Learning-based Automatic Modulation Classifier on FPGA SDR Platform." Electronics 7, no. 7 (2018): 122. http://dx.doi.org/10.3390/electronics7070122.

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Intelligent radios collect information by sensing signals within the radio spectrum, and the automatic modulation recognition (AMR) of signals is one of their most challenging tasks. Although the result of a modulation classification based on a deep neural network is better, the training of the neural network requires complicated calculations and expensive hardware. Therefore, in this paper, we propose a master–slave AMR architecture using the reconfigurability of field-programmable gate arrays (FPGAs). First, we discuss the method of building AMR, by using a stack convolution autoencoder (CAE

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28

Hordiichuk, V., V. Sergienko, A. Mishchenko, A. Shyshatskyi, and P. Pozdniakov. "ANALYSIS OF TECHNICAL CHARACTERISTICS OF THE RADIOELECTRONIC INTELLIGENCE OF THE RUSSIAN FEDERATION." Системи управління, навігації та зв’язку. Збірник наукових праць 1, no. 53 (2019): 142–46. http://dx.doi.org/10.26906/sunz.2019.1.142.

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One of the most important characteristics of radiocommunication systems and facilities that operate in the conditions of radio-electronic suppression is their secrecy, which is the ability of systems and radio communications to withstand the actions of radio-intelligence. Radiotechnical intelligence provides consistent execution of three main tasks: the detection of the fact of the operation of the system (devices) of radio communication (signal detection); determination of the structure of the detected signal and its basic parameters; disclosure of the information contained in the signal. Tak

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29

Li, Zong Bao. "Application of RFID in the Intelligent Traffic System." Applied Mechanics and Materials 713-715 (January 2015): 1119–22. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1119.

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the technology of radio frequency identification (RFID) is an automatic non-contact identification technique, which uses radio frequency signal to recognize target automatically, and access to data of relevant information, and can effectively complete the rapid identification of traffic information system. In this paper, the characteristics and basic principle of radio frequency identification technology are described, the application of RFID in intelligent traffic management system for identifying vehicle identity information, automatic peccancy disposal, non-stop electronic toll collection a

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30

Ding, Hui. "Research on the Design of Intelligent Access Control System Based on Radio Frequency Technology and Image Processing Technology." Advanced Materials Research 791-793 (September 2013): 1987–91. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1987.

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With the continually development of computer technology and modern communication technology, radio frequency technology and image processing technology become the important component of modern security system. In particular, the application of the intelligent access control system of the two technologies becomes a hot research topic in the field. This article first briefly analyzes the principle of radio frequency technology and establishes intelligent access control system based on radio frequency technology and image processing technology. It analyzes the theory and application compatibility

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31

Kolesnikov, Igor, Natalya Yaronova, Janibek Kurbanov, and Nozima Khusnidinova. "Intelligent railway transport radio communication based on neural networks." E3S Web of Conferences 264 (2021): 05044. http://dx.doi.org/10.1051/e3sconf/202126405044.

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The article is devoted to the features of GSM-R as a basis for organizing a digital radio communication system on the railway to apply the European Integrated Radio Communication for the railways of Uzbekistan. The role of GSM-R for the interaction of digital radio communication with the European integrated system for expanding the functions of railway radio communication and safe movement of high-speed trains is shown. The article identifies the possibilities of building modern digital communication of the railway. The GSM-R communication network, its services and architecture for organizing

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32

Tarter, Jill. "Search for Extraterrestrial Intelligence by Radio Observations." Transactions of the International Astronomical Union 21, no. 1 (1991): 607–12. http://dx.doi.org/10.1017/s0251107x00010531.

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33

Harrison, E. D. R. "British Radio Security and Intelligence, 1939-43." English Historical Review CXXIV, no. 506 (2009): 53–93. http://dx.doi.org/10.1093/ehr/cen361.

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34

Yao, Miao, Munawwar Sohul, Vuk Marojevic, and Jeffrey H. Reed. "Artificial Intelligence Defined 5G Radio Access Networks." IEEE Communications Magazine 57, no. 3 (2019): 14–20. http://dx.doi.org/10.1109/mcom.2019.1800629.

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35

Drake, Frank. "The search for extra-terrestrial intelligence." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1936 (2011): 633–43. http://dx.doi.org/10.1098/rsta.2010.0282.

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Modern history of the search for extra-terrestrial intelligence is reviewed. The history of radio searches is discussed, as well as the major advances that have occurred in radio searches and prospects for new instruments and search strategies. Recent recognition that searches for optical and infrared signals make sense, and the reasons for this are described, as well as the equipment and special detection methods used in optical searches. The long-range future of the search for extra-terrestrial intelligence (SETI) is discussed in the context of the history of rapid change, on the cosmic and

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36

Amraoui, Asma. "Intelligent Wireless Communication System Using Cognitive Radio." International Journal of Distributed and Parallel systems 3, no. 2 (2012): 91–104. http://dx.doi.org/10.5121/ijdps.2012.3208.

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37

Verma, Gaurav, and O. P. Sahu. "Intelligent Improvement in Throughput of Cognitive Radio." Wireless Personal Communications 99, no. 3 (2018): 1123–40. http://dx.doi.org/10.1007/s11277-017-5038-x.

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38

Sommerville, James, and Nigel Craig. "Intelligent buildings with radio frequency identification devices." Structural Survey 23, no. 4 (2005): 282–90. http://dx.doi.org/10.1108/02630800510630457.

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39

Chu, James. ""Intelligent" Software-Defined Radio ( [Book/Software Reviews]." IEEE Microwave Magazine 17, no. 11 (2016): 82–98. http://dx.doi.org/10.1109/mmm.2016.2600950.

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40

Maksymyuk, Taras, Eugen Šlapak, Gabriel Bugár, Denis Horváth, and Juraj Gazda. "Intelligent framework for radio access network design." Wireless Networks 26, no. 1 (2019): 759–74. http://dx.doi.org/10.1007/s11276-019-02172-7.

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41

Hoschek, Miloslav. "Quantum security and 6G critical infrastructure." Serbian Journal of Engineering Management 6, no. 1 (2021): 1–8. http://dx.doi.org/10.5937/sjem2101001h.

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In the mid 2030-s in the field of defense and national security communications the quantum computers and 6G artificial intelligence will have domination. 6G communication is accepted in a variety of mobile data comparts transmitted through spectral technologies. The human body becomes a part of the 6G network architecture. A set of network nodes or wearable devices, embedded sensors or nanodes collect confidential information that is exchanged for multiple purposes, such as health, statistics, and safety. An important part of the 6G new paradigm will be intelligent reflective surfaces, quantum

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Podstrigaev, A. S., V. P. Likhachev, and A. V. Smolyakov. "Design of wideband matrix-parallel receiver for radio monitoring and radio intelligence." Proceedings of Tomsk State University of Control Systems and Radioelectronics 20, no. 3 (2017): 105–13. http://dx.doi.org/10.21293/1818-0442-2017-20-3-105-113.

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43

Li, Zhe Kun, Min Li, and Fu Yu Li. "Intelligent MES Based on RFID." Key Engineering Materials 407-408 (February 2009): 194–97. http://dx.doi.org/10.4028/www.scientific.net/kem.407-408.194.

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By taking the advantages of RFID (Radio frequency identification) technology, this paper consequently raises an idea of applying RFID into MES (Manufacturing Execution System), establishing the modules concerning MES onsite-material management and monitoring of manufacturing, and studying how to construct Intelligent MES.

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Hatsenko, S. S., R. V. Pysarenko, I. М. Lukianchykov, S. V. Oshkoder, V. P. Nykolaienko, and О. G. Prykhodko. "INFORMATION SYSTEM FOR SUPPORTING DECISIONS OF AUTOMATED RADIO MONITORING CONTROL SYSTEM." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 67 (2020): 5–17. http://dx.doi.org/10.17721/2519-481x/2020/67-01.

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Armed aggression of the Russian Federation against Ukraine, loss of important industrial potentials, as Topaz state-owned holding company, which specialized in the development and production of complex radio engineering systems and complexes, including unique long-range radio intelligence systems and early warning of air defense systems, Kolchuga radio intelligence has given a significant impetus to the development of new approaches to conducting radio monitoring of the situation, as one of the main tion method of obtaining information. Such a complex type of technical activity as radio monito

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45

Brodrick, David, Douglas Taylor, and Joachim Diederich. "Recurrent Neural Networks for Narrowband Signal Detection in the Time-Frequency Domain." Symposium - International Astronomical Union 213 (2004): 483–86. http://dx.doi.org/10.1017/s0074180900193751.

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A recurrent neural network was trained to detect the time-frequency domain signature of narrowband radio signals against a background of astronomical noise. The objective was to investigate the use of recurrent networks for signal detection in the Search for Extra-Terrestrial Intelligence, though the problem is closely analogous to the detection of some classes of Radio Frequency Interference in radio astronomy.

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46

Pecorella, Tommaso, Romano Fantacci, and Benedetta Picano. "Improving CSI Prediction Accuracy with Deep Echo State Networks in 5G Networks." Sensors 20, no. 22 (2020): 6475. http://dx.doi.org/10.3390/s20226475.

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The forthcoming fifth-generation networks require improvements in cognitive radio intelligence, going towards more smart and aware radio systems. In the emerging radio intelligence approach, the empowerment of cognitive capabilities is performed through the adoption of machine learning techniques. This paper investigates the combined application of the convolutional and recurrent neural networks for the channel state information forecasting, providing a multivariate scalar time series prediction by taking into account the multiple factors dependence of the channel state conditions. Finally, th

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47

Guo, Dong Liang, Qiao Xiang, and Zhong Hua Li. "Hybrid Intelligent Optimization Approach for RFID Network Planning." Applied Mechanics and Materials 596 (July 2014): 230–33. http://dx.doi.org/10.4028/www.scientific.net/amm.596.230.

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Radio Frequency Identification (RFID) is a kind of short-range radio technology for data acquisition and automatic identification. In large scale application of RFID system, RFID network planning (RNP) is one of the fundamental tasks need to be fulfilled. This paper proposed an efficient hybrid intelligent optimization approach for RNP. A RNP optimization model is designed in considering of coverage, cost, and the radiated power of readers. A hybrid intelligent optimization approach is proposed to optimize the model in a hierarchical fashion. Firstly, we used the intelligent optimization algor

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Taras, Maksymyuk, Shubyn Bohdan, Andrushchak Volodymyr, Beshley Halyna, Dumych Stepan, and Klymash Mykhailo. "PRACTICAL IMPLEMENTATION OF THE SOFTWARE DEFINED 5G MOBILE NETWORK BASED ON CLOUD-RAN AND SDR TECHNOLOGIES." Visnyk Universytetu “Ukraina”, no. 1 (28) 2020 (2020): 23–34. http://dx.doi.org/10.36994/2707-4110-2020-1-28-02.

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The paper is devoted to the practical implementation aspects of a software-defined mobile network based on the Cloud-RAN architecture and universal software radio peripheral National Instruments USRP 2900. We propose a multilayer network architecture, which consists of a radio access network (RAN) plane, a core plane, a control plane, an artificial intelligence (AI) plane, and a monitoring system that collects data about network performance. The RAN plane provides all functions related to channel scheduling, data encoding and signal processing and combines all macro and small cells, as well as

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Kun Hua, and Yin Wang. "Adaptive Software Defined Radio Detection with Artificial Intelligence." International Journal of Networked Computing and Advanced Information Management 1, no. 1 (2011): 1–8. http://dx.doi.org/10.4156/ijncm.vol1.issue1.1.

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Alibabaie, Zahra, Sanaz Nikghadam Hojjati, and Najmeh Alibabaie. "Radio Frequency Identification Technology Development in Business Intelligence." Academic Journal of Research in Economics and Management 2, no. 2 (2014): 84–94. http://dx.doi.org/10.12816/0006536.

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