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Relevant bibliographies by topics / Mobile and Cognitive Radios

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Academic literature on the topic 'Mobile and Cognitive Radios'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Mobile and Cognitive Radios"

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Haldorai, Anandakumar, Jeevanandham Sivaraj, Munivenkatappa Nagabushanam, and Michaelraj Kingston Roberts. "Cognitive Wireless Networks Based Spectrum Sensing Strategies: A Comparative Analysis." Applied Computational Intelligence and Soft Computing 2022 (October 30, 2022): 1–14. http://dx.doi.org/10.1155/2022/6988847.

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Because of numerous dormant application fields, wireless sensor networks (WSNs) have emerged as an important and novel area in radio and mobile computing research. These applications range from enclosed system configurations in the home and office to alfresco enlistment in an opponent’s landmass in a strategic flashpoint. Cognitive radio networks (CRNs) can be created by integrating radio link capabilities with network layer operations utilizing cognitive radios. The goal of CRN design is to optimize the general system operations to meet customer requirements at any location worldwide by much

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Duan, Meimei, Zhimin Zeng, Caili Guo, and Fangfang Liu. "User Selection for Cooperative Spectrum Sensing in Mobile Heterogeneous Cognitive Radios." Wireless Personal Communications 95, no. 3 (2017): 3077–96. http://dx.doi.org/10.1007/s11277-017-3985-x.

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Silva, Francisco S. S., Andson M. Balieiro, Francisco F. de Mendoça, Kelvin L. Dias, and Paulo Guarda. "A Conformance Testing Methodology and System for Cognitive Radios." Wireless Communications and Mobile Computing 2021 (January 29, 2021): 1–15. http://dx.doi.org/10.1155/2021/8869104.

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The fifth generation (5G) of mobile networks has started its operation in some countries and is aimed at meeting demands beyond the current system capabilities such as the huge amount of connected devices from IoT applications (e.g., smart cities), explosive growth of high-speed mobile data traffic (e.g., ultrahigh definition video streaming), and ultrareliable and low latency communication (e.g., autonomous vehicle). To attend to these needs, the electromagnetic spectrum must be made available, but the static spectrum allocation policy has caused a spectrum shortage and impaired the employmen

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Wu, Chien-Min, Yen-Chun Kao, and Kai-Fu Chang. "A Multichannel MAC Protocol for IoT-enabled Cognitive Radio Ad Hoc Networks." Advances in Technology Innovation 5, no. 1 (2020): 45–55. http://dx.doi.org/10.46604/aiti.2020.3946.

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Cognitive radios have the ability to dynamically sense and access the wireless spectrum, and this ability is a key factor in successfully building Internet-of-Things (IoT)-enabled mobile ad hoc networks. This paper proposes a contention-free token-based multichannel MAC protocol for IoT-enabled Cognitive Radio Ad Hoc Networks (CRAHNs). In this, secondary users of CRAHNs detect activity on the wireless spectrum and then access idle channels licensed by primary users. CRAHNs are divided into clusters, and the channel to use for transmission is determined dynamically from the probability of findi

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Soares, Marilson Duarte, Diego Passos, and Pedro Vladimir Gonzalez Castellanos. "Cognitive Radio with Machine Learning to Increase Spectral Efficiency in Indoor Applications on the 2.5 GHz Band." Sensors 23, no. 10 (2023): 4914. http://dx.doi.org/10.3390/s23104914.

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Due to the propagation characteristics in the 2.5 GHz band, the signal is significantly degraded by building entry loss (BEL), making coverage in indoor environments in some cases non-existent. Signal degradation inside buildings is a challenge for planning engineers, but it can be seen as a spectrum usage opportunity for a cognitive radio communication system. This work presents a methodology based on statistical modeling of data collected by a spectrum analyzer and the application of machine learning (ML) to leverage the use of those opportunities by autonomous and decentralized cognitive ra

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Yu, F., Minyi Huang, and Helen Tang. "Biologically inspired consensus-based spectrum sensing in mobile Ad Hoc networks with cognitive radios." IEEE Network 24, no. 3 (2010): 26–30. http://dx.doi.org/10.1109/mnet.2010.5464224.

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Guo, Songtao, Chuangyin Dang, and Xiaofeng Liao. "Distributed resource allocation with fairness for cognitive radios in wireless mobile ad hoc networks." Wireless Networks 17, no. 6 (2011): 1493–512. http://dx.doi.org/10.1007/s11276-011-0360-9.

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Kim, Tae-Sung, Sok-Hyong Kim, Bo-Kyum Kim, and Young-Yong Kim. "Exploiting Multiple Channels for Low Latency and Semireliable Broadcasting in Cognitive Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/241208.

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In Wireless Sensor Networks (WSNs), disaster management is a crucial issue that focuses on disaster relief and recovery. Mobile sensor nodes support disaster relief and recovery by means of real-time bidirectional communication. For its high data rate requirement, IEEE 802.11 specification can be used for the radio interface of sensor nodes, and the nodes can be equipped with multiple 802.11 radios to utilize multiple channels and link data rates. Channel assignment algorithms can be applied in cognitive radio enabled networks which performs dynamic channel configuration for utilizing multiple

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Cacciapuoti, Angela Sara, Marcello Caleffi, Luigi Paura, and Md Arafatur Rahman. "Channel availability for mobile cognitive radio networks." Journal of Network and Computer Applications 47 (January 2015): 131–36. http://dx.doi.org/10.1016/j.jnca.2014.10.002.

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Lee, Jae-Joon, and Jaesung Lim. "Cognitive routing for multi-hop mobile cognitive radio ad hoc networks." Journal of Communications and Networks 16, no. 2 (2014): 155–61. http://dx.doi.org/10.1109/jcn.2014.000026.

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Dissertations / Theses on the topic "Mobile and Cognitive Radios"

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Hong, Xuemin. "Secondary mobile access via ultra-wideband and cognitive radio networks." Thesis, Heriot-Watt University, 2008. http://hdl.handle.net/10399/2196.

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He, An. "Power Consumption Optimization: A Cognitive Radio Approach." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/77309.

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Power consumption is one of the most important aspects in mobile and wireless communications. Existing research has shown significant power reduction through limited radio reconfiguration based on the channel conditions, especially for short range sensor network applications. A cognitive radio (CR) is an intelligent wireless communication system which is able to determine the most favorable operating parameters (cognition) based on the radio environment and its own capabilities and characteristics (awareness) and reconfigure the radio accordingly (reconfigurability). This work leverages the ad

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Li, Xue. "Spectrally Modulated Spectrally Encoded Framework Based Cognitive Radio in Mobile Environment." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1365964727.

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Zhou, Ruolin. "The Demonstration of SMSE Based Cognitive Radio in Mobile Environment via Software Defined Radio." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1334421582.

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Raoof, Omar. "Game theory for dynamic spectrum sharing cognitive radio." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/7371.

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‘Game Theory’ is the formal study of conflict and cooperation. The theory is based on a set of tools that have been developed in order to assist with the modelling and analysis of individual, independent decision makers. These actions potentially affect any decisions, which are made by other competitors. Therefore, it is well suited and capable of addressing the various issues linked to wireless communications. This work presents a Green Game-Based Hybrid Vertical Handover Model. The model is used for heterogeneous wireless networks, which combines both dynamic (Received Signal Strength and No

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Bennis, M. (Mehdi). "Spectrum sharing for future mobile cellular systems." Doctoral thesis, University of Oulu, 2009. http://urn.fi/urn:isbn:9789514260582.

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Abstract Spectrum sharing has become a high priority research area over the past few years. The motivation behind this lies in the fact that the limited spectrum is currently inefficiently utilized. As recognized by the World radio communication conference (WRC)-07, the amount of identified spectrum is not large enough to support large bandwidths for a substantial number of operators. Therefore, it is paramount for future mobile cellular systems to share the frequency spectrum and coexist in a more efficient manner. The present dissertation deals with the problem of spectrum scarcity by exam

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Rogers, William James. "Cross-Layer Game Theoretic Mechanism for Tactical Mobile Networks." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/24767.

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In recent years, Software Defined and Cognitive Radios (SDRs and CRs) have become popular topics of research. Game theory has proven to be a useful set of tools for analyzing wireless networks, including Cognitive Networks (CNs). This thesis provides a game theoretic cross-layer mechanism that can be used to control SDRs and CRs. We have constructed an upper-layer Topology Control (TC) game, which decides which links each node uses. A TDMA algorithm which we have adapted is then run on these links. The links and the TDMA schedule are then passed to a lower-layer game, the Link Adaptation Game

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Bonnefoi, Rémi. "Utilisation de la radio intelligente pour un réseau mobile à faible consommation d’énergie." Thesis, CentraleSupélec, 2018. http://www.theses.fr/2018CSUP0001.

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La réduction de l’empreinte carbone de l’activité humaine est aujourd’hui un enjeu économique et écologique majeur. Les réseaux de communication ont un double rôle à jouer dans cette réduction. En premier lieu, les réseaux mobiles, et en particulier les stations de base, sont un gros consommateur d’électricité. Il est donc nécessaire d’optimiser leur fonctionnement pour réduire leur empreinte carbone. Ensuite, des réseaux de communication sont désormais nécessaires pour mieux gérer la production d’électricité et ainsi pouvoir augmenter la proportion d’électricité produite par des sources d’éne

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Afgani, Mostafa Z. "Exploitation of signal information for mobile speed estimation and anomaly detection." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/4890.

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Although the primary purpose of the signal received by amobile handset or smartphone is to enable wireless communication, the information extracted can be reused to provide a number of additional services. Two such services discussed in this thesis are: mobile speed estimation and signal anomaly detection. The proposed algorithms exploit the propagation environment specific information that is already imprinted on the received signal and therefore do not incur any additional signalling overhead. Speed estimation is useful for providing navigation and location based services in areas where glob

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Rehmani, Mubashir Husain. "Opportunistic Data Dissemination in Ad-Hoc Cognitive Radio Networks." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2011. http://tel.archives-ouvertes.fr/tel-00630214.

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Les progrès récents des technologies de communication et la prolifération de l'informatique sans fil et des dispositifs de communication, ont induit 'a une surcharge dans l'utilisation du spectre radio. Cependant, les expériences de la Commission Fédérale de Communication (FCC) ont révélé que l'utilisation du spectre varie entre 15% et 85%. Par conséquent, les réseaux radios cognitifs (Cognitive Radio Networks ou CRNs) sont proposés afin d'utiliser le spectre radio d'une manière opportuniste. Dans ce type de réseaux radios cognitifs, où les fréquences de transmission sont sélectionnées d'une m

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Books on the topic "Mobile and Cognitive Radios"

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Yu, F. Richard, ed. Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3.

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Yu, F. Richard. Cognitive radio mobile ad hoc networks. Edited by Tang Helen. Springer, 2011.

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Rehmani, Mubashir Husain, and Riadh Dhaou, eds. Cognitive Radio, Mobile Communications and Wireless Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91002-4.

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Alan, Fette Bruce, ed. Cognitive radio technology. 2nd ed. Academic Press/Elsevier, 2009.

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Meghanathan, Natarajan, and Yenumula B. Reddy. Cognitive radio technology applications for wireless and mobile ad hoc networks. Information Science Reference, 2013.

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1977-, Zhang Yan, Zheng Jun Ph D, and Chen Hsiao-Hwa, eds. Cognitive radio networks: Architectures, protocols, and standards. Taylor & Francis, 2010.

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Li, Shujun. Flexible Adaptation in Cognitive Radios. Springer New York, 2013.

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Li, Shujun, and Miecyslaw Kokar. Flexible Adaptation in Cognitive Radios. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-0968-7.

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Michael, Timmers, Van der Perre Liesbet, and SpringerLink (Online service), eds. Software Defined Radios: From Smart(er) to Cognitive. Springer Science+Business Media B.V., 2011.

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United States. National Telecommunications and Information Administration, ed. Delivered audio quality measurements on Project 25 land mobile radios. U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1998.

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Book chapters on the topic "Mobile and Cognitive Radios"

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Mahmoodi, Seyed Eman, Koduvayur Subbalakshmi, and R. N. Uma. "Cognitive Cloud Offloading Using Multiple Radios." In Spectrum-Aware Mobile Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02411-6_4.

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Mahmoodi, Seyed Eman, Koduvayur Subbalakshmi, and R. N. Uma. "Optimal Cognitive Scheduling and Cloud Offloading Using Multi-Radios." In Spectrum-Aware Mobile Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02411-6_5.

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Mahmoodi, Seyed Eman, Koduvayur Subbalakshmi, and R. N. Uma. "Time-Adaptive and Cognitive Cloud Offloading Using Multiple Radios." In Spectrum-Aware Mobile Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02411-6_6.

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Pollin, Sofie, Michael Timmers, and Liesbet Van der Perre. "Serving Many Mobile Users in Various Scenarios: Radios to Go Smart(er) and Cognitive." In Software Defined Radios. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1278-2_1.

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Mahmoodi, Eman S., K. P. Subbalakshmi, and R. N. Uma. "Spectrum-Aware Mobile Computing Using Cognitive Networks." In Handbook of Cognitive Radio. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1389-8_22-1.

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Mahmoodi, S. Eman, K. P. Subbalakshmi, and R. N. Uma. "Spectrum-Aware Mobile Computing Using Cognitive Networks." In Handbook of Cognitive Radio. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-1394-2_22.

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Yang, Yaling, Chuan Han, and Bo Gao. "Delay in Cognitive Radio Networks." In Cognitive Radio Mobile Ad Hoc Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_10.

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Adigun, Olayinka, Mahdi Pirmoradian, and Christos Politis. "Cognitive Radio for 5G Wireless Networks." In Fundamentals of 5G Mobile Networks. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118867464.ch6.

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Hefnawi, Mostafa. "Multiuser MIMO Cognitive Radio Systems." In Cognitive Radio, Mobile Communications and Wireless Networks. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91002-4_11.

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Zhang, Qiwei, and Klaus Moessner. "A Context Aware Architecture for Energy Efficient Cognitive Radio." In Mobile Multimedia Communications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35155-6_36.

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Conference papers on the topic "Mobile and Cognitive Radios"

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Min, Alexander W., Kyu-Han Kim, Jatinder Pal Singh, and Kang G. Shin. "Opportunistic spectrum access for mobile cognitive radios." In IEEE INFOCOM 2011 - IEEE Conference on Computer Communications. IEEE, 2011. http://dx.doi.org/10.1109/infcom.2011.5935141.

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Kamil, Nawaf Hadhal, Deah J. Kadhim, Wei Liu, and Wenqing Cheng. "Spectrum Sensing Opportunities in Cognitive Radios." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5303660.

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Pan, Qun, Qiu Yue, Tao Lin, and Dacheng Yang. "Agilize Spectrum Sensing for Cognitive Radios." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.288.

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Lei, Zhongding, and Francois Chin. "OFDM signal sensing for cognitive radios." In 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2008. http://dx.doi.org/10.1109/pimrc.2008.4699404.

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Jia Long, Changcheng Huang, and James Yan. "Network assisted auctioning for cognitive radios." In 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2010. http://dx.doi.org/10.1109/wimob.2010.5644851.

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Xie, Jianli, Cuiran Li, and Chengshu Li. "A Spectrum Sensing Scheme for Cognitive Radios." In 2009 WRI International Conference on Communications and Mobile Computing (CMC). IEEE, 2009. http://dx.doi.org/10.1109/cmc.2009.200.

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Liu, Fangfang, Chunyan Feng, Caili Guo, Yue Wang, and Dong Wei. "Polarization Spectrum Sensing Scheme for Cognitive Radios." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5301939.

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Mayer, Andreas, Linus Maurer, Gernot Hueber, et al. "RF Front-End Architecture for Cognitive Radios." In 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2007. http://dx.doi.org/10.1109/pimrc.2007.4394847.

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Zhang, Yu, Arati Baliga, and Wade Trappe. "Reactive on-board regulation of cognitive radios." In 2010 IEEE International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2010. http://dx.doi.org/10.1109/wowmom.2010.5535003.

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Butt, Naveed R., and Andreas Jakobsson. "Efficient sparse spectrum estimation for cognitive radios." In 2012 IEEE Thirteenth International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2012. http://dx.doi.org/10.1109/wowmom.2012.6263757.

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Reports on the topic "Mobile and Cognitive Radios"

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Liu, Mingyan. Cognitive Tactical Radios: Cognition Through Learning and Strategy (CLearStrategy). Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada586790.

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Pursley, Michael B. Receiver Statistics for Cognitive Radios in Dynamic Spectrum Access Networks. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada558108.

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Jayaweera, Sudharman. Machine Learning-Aided, Robust Wideband Spectrum Sensing for Cognitive Radios. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada625246.

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Cirullo, Chris. A Prototype System for Using Multiple Radios in Directional MANET (Mobile Ad Hoc Network): A NISE Funded Applied Research Project. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada591727.

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Schipani, Salvatore P., Richard S. Bruno, Michael A. Lattin, Bobby M. King, and Debra J. Patton. Quantification of Cognitive Process Degradation While Mobile, Attributable to the Environmental Stressors Endurance, Vibration, and Noise. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada346416.

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Pinchuk, O. P., V. A. Tkachenko, and O. Yu Burov. AV and VR as Gamification of Cognitive Tasks. CEUR Workshop Proceedings, 2019. http://dx.doi.org/10.33407/lib.naes.718697.

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The paper presents a comparative analysis of the functionality of mobile applications of the augmented reality Da Vinci Machines AR, Electricity AR, Bridges AR, Geometry, the collection of VR models VictoryVR Science Curriculum and the digital collection Mozaik. The possibility of using these tools for educational purposes is explored, in particular, to construct cognitive tasks for students during the study of subjects in the natural and mathematical cycle. The indicated shortcomings are stated, didactic requirements for such educational activities are formulated. Among others, attention is f

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Stall, Nathan M., Yoshiko Nakamachi, Melissa Chang, et al. Mobile In-Home COVID-19 Vaccination of Ontario Homebound Older Adults by Neighbourhood Risk. Ontario COVID-19 Science Advisory Table, 2021. http://dx.doi.org/10.47326/ocsat.2021.02.19.1.0.

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Homebound individuals face substantial barriers to receiving COVID-19 vaccines as they cannot or rarely leave their homes because of medical, psychiatric, cognitive, functional, transportation-related and social reasons. There are at least 75,000 Ontarians aged 65 years and above who are homebound, with the majority being women and people aged 85 years and above. Much of this older homebound population requires mobile in-home COVID-19 vaccination, which could be prioritized by residence in high SARS-CoV-2 risk neighbourhoods.

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Midak, Lilia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, Jurij D. Pahomov, Victor M. Lutsyshyn, and Aleksandr D. Uchitel. Augmented reality technology within studying natural subjects in primary school. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3746.

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The purpose of the research is creation of mobile app (supported by Android) for visualization of chemical structure of water and to display video- data of laboratory experiments that can be used by the teacher and pupils for an effective background for learning natural cycle subjects and performance of laboratory experiments in the elementary school using lapbook. As a result of work, aimed at visualizing the education material, a free mobile app LiCo.STEM was developed; it can be downloaded from the overall-available resource Google Play Market. Representation of the developed video material

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Midak, Liliia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, et al. Augmented reality in process of studying astronomic concepts in primary school. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4411.

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The objective of the research is development a mobile application (on the Android platform) designed for visualization of the Solar System with the AR technology and the alphabet study, applying the astronomic definitions, which can be used by the teacher and the students for an effective training for studying the subjects of the astronomic cycle in primary school. Augmented Reality cards with the images of the Solar System planets and other celestial bodies were developed, as well as the “Space alphabet” was created. In the developed alphabet every letter of the alphabet becomes a certain cel

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Petrovych, Olha B., Alla P. Vinnichuk, Viktor P. Krupka, Iryna A. Zelenenka, and Andrei V. Voznyak. The usage of augmented reality technologies in professional training of future teachers of Ukrainian language and literature. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4635.

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The article deals with the peculiarities of creation and practical application of augmented reality (AR) technologies for the organization of students-philologists’ individual and group work in studying the discipline “Methodic of teaching literature”. The relevance of the introduction of AR technologies for the future teachers-philologists’ readiness formation to the professional activity is substantiated. Analysis of the scientific sources suggested that the professional training process requires the modernization of teaching methods, and the usage of information and communication technologi

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