Academic literature on the topic 'Private mobile radio networks'
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Journal articles on the topic "Private mobile radio networks"
Gruet, Christophe, Xavier Pons-Masbernat, and Pierre Force. "The LTE Evolution: Private Mobile Radio Networks." IEEE Vehicular Technology Magazine 8, no. 2 (June 2013): 64–70. http://dx.doi.org/10.1109/mvt.2013.2252291.
Full textPalanisamy, Ramesh, Senthil Jayapal, Anand M, and Jeelani Basha. "ENHANCED HYBRID COGNITIVE RADIO AD HOC NETWORKS (CRAHNs) FOR MOBILE NETWORK." International Journal of Computer Science and Mobile Computing 11, no. 11 (November 30, 2022): 237–46. http://dx.doi.org/10.47760/ijcsmc.2022.v11i11.020.
Full textCanales, María, Ángela Hernández, and Antonio Valdovinos. "Trunking capacity estimation for wide area multicell private mobile radio networks." AEU - International Journal of Electronics and Communications 64, no. 1 (January 2010): 8–16. http://dx.doi.org/10.1016/j.aeue.2008.09.008.
Full textHaldorai, 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.
Full textImanbayev, A. Zh, S. Tynymbayev, R. S. Odarchenko, and Zh Alikhankyzy. "ANALYSIS OF THE SECURITY PROBLEMS OF FIFTH GENERATION MOBILE NETWORKS." BULLETIN Series of Physics & Mathematical Sciences 76, no. 4 (December 15, 2021): 21–28. http://dx.doi.org/10.51889/2021-4.1728-7901.03.
Full textDaeuble, Stephane, and Carlijn Williams. "PRIVATE WIRELESS MARKET." SYNCHROINFO JOURNAL 8, no. 3 (2022): 12–17. http://dx.doi.org/10.36724/2664-066x-2022-8-3-12-17.
Full textYu, Chuan, Shuhui Chen, and Zhiping Cai. "LTE Phone Number Catcher: A Practical Attack against Mobile Privacy." Security and Communication Networks 2019 (September 30, 2019): 1–10. http://dx.doi.org/10.1155/2019/7425235.
Full textLorenz, Vinzenz. "Use of Wireless Technologies in the Industrial Environment With Blockchain." Open Conference Proceedings 2 (December 15, 2022): 143–49. http://dx.doi.org/10.52825/ocp.v2i.146.
Full textPatalbansi, Vikram, and Dr G. Prasanna Laxmi. "Mobile Cloud Computing Cryptographic Scheme." Journal of University of Shanghai for Science and Technology 23, no. 06 (June 19, 2021): 1148–57. http://dx.doi.org/10.51201/jusst/21/05394.
Full textMath, Sa, Lejun Zhang, Seokhoon Kim, and Intae Ryoo. "An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment." Security and Communication Networks 2020 (October 21, 2020): 1–11. http://dx.doi.org/10.1155/2020/8881640.
Full textDissertations / Theses on the topic "Private mobile radio networks"
Ballapuram, Vijayanand Sreenivasan. "Impact of Queuing Schemes and VPN on the Performance of a Land Mobile Radio VoIP System." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33033.
Full textAn experimental test bed was created to evaluate four QoS queuing schemes: first-in first-out queuing (FIFO), priority queuing (PQ), weighted fair queuing (WFQ), and class-based weighted fair queuing (CBWFQ). Quantitative results were obtained for voice application throughput, delay, jitter, and signaling overhead. Results show that, compared to a baseline case with no background traffic, LMRVoIP traffic suffers when carried over links with heavy contention from other traffic sources when FIFO queuing is used. There is significant packet loss for voice and control traffic and jitter increases. FIFO queuing provides no QoS and, therefore, should not be used for critical applications where the network may be congested. The situation can be greatly improved by using one of the other queuing schemes, PQ, WFQ, or CBWFQ, which perform almost equally well with one voice flow. Although PQ has the best overall performance, it tends to starve the background traffic. CBWFQ was found to have some performance benefits over WFQ in most cases and, thus, is a good candidate for deployment.
The LMRVoIP application was also tested using a VPN, which led to a modest increase in latency and bandwidth utilization, but was found to perform well.
Master of Science
Adouane, Amine Mohamed. "Dynamic management of spectral resources in LTE networks." Thesis, Versailles-St Quentin en Yvelines, 2015. http://www.theses.fr/2015VERS007V/document.
Full textThe exponential growth in the number of communications devices has set out new ambitious targets to meet the ever-increasing demand for user capacity in emerging wireless systems. However, the inherent impairments of communication channels in cellular systems pose constant challenges to meet the envisioned targets. High spectral reuse efficiency was adopted as a solution to higher data rates. Despite its benefits, high spectral reuse leads to increased interference over the network, which degrades performances of mobile users with bad channel quality. To face this added interfence, OFDM (Orthogonal Frequency Division Multiplexing) is used for the new 4th generation network. Thanks to its orthogonality OFDM eliminates the intra-cellular interference, but when the same resources are used in two adjacents cells, the inter-cell interference becomes severe. To get rid of the latter, several methods for Inter-Cell Interference Coordination (ICIC) have been proposed. ICIC allows coordinated radio resources management between multiple cells. The eNodeBs can share resource usage information and interference levels over the X2 interface through LTE-normalized messages. Non-cooperative game theory was largely applied were eNodeBs selfishly selects resource blocks (RBs) in order to minimize interference. In this thesis, we stress on ICIC for the downlink of a cellular OFDMA system in the context of the SOAPS (Spectrum Opportunistic Access in Public Safety) project. This project focuses on the improvement of frequency resource scheduling for Broadband Services provision by PMR (Private Mobile Radio) systems using LTE technologies. We addressed this problem with four different solutions based on Non-cooperative game theory, three algorithms are devoted to RB selection in order to manage the interference, while the last one is a power control scheme with power economy and enhanced system performances
Sakai, Kazuya. "Security and Privacy in Large-Scale RFID Systems." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1386006971.
Full textDuan, Jialong. "Coordination inside centralized radio access networks with limited fronthaul capacity." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0052/document.
Full textCentralized/Cloud Radio Access Network (C-RAN) is a promising mobile network architecture, which can potentially increase the capacity of mobile networks while reducing operators¿ cost and energy consumption. However, the feasibility of C-RAN is limited by the large bit rate requirement in the fronthaul. The objective of this thesis is to improve C-RAN performance while considering fronthaul throughput reduction, fronthaul capacity allocation and users scheduling.We first investigate new functional split architectures between Remote Radio Heads (RRHs) and Baseband Units (BBU) on the uplink to reduce the transmission throughput in fronthaul. Some low layer functions are moved from the BBU to RRHs and a quantitative analysis is provided to illustrate the performance gains. We then focus on Coordinated Multi-point (CoMP) transmissions on the downlink. CoMP can improve spectral efficiency but needs tight coordination between different cells, which is facilitated by C-RAN only if high fronthaul capacity is available. We compare different transmission strategies without and with multi-cell coordination. Simulation results show that CoMP should be preferred for users located in cell edge areas and when fronthaul capacity is high. We propose a hybrid transmission strategy where users are divided into two parts based on statistical Channel State Informations (CSIs). The users located in cell center areas are served by one transmission point with simple coordinated scheduling and those located in cell edge areas are served with CoMP joint transmission. This proposed hybrid transmission strategy offers a good trade-off between users¿ transmission rates and fronthaul capacity cost
Kurien, Anish Mathew. "Approches pour la classification du trafic et l’optimisation des ressources radio dans les réseaux cellulaires : application à l’Afrique du Sud." Thesis, Paris Est, 2012. http://www.theses.fr/2012PEST1090/document.
Full textThe growth in the number of cellular mobile subscribers worldwide has far outpaced expected rates of growth with worldwide mobile subscriptions reaching 6 Billion subscribers in 2011 according to the International Telecommunication Union (ITU). More than 75% of this figure is in developing countries. With this rate of growth, greater pressure is placed on radio resources in mobile networks which impacts on the quality and grade of service (GOS) in the network. With varying demands that are generated from different subscriber classes in a network, the ability to distinguish between subscriber types in a network is vital to optimise infrastructure and resources in a mobile network. In this study, a new approach for subscriber classification in mobile cellular networks is proposed. In the proposed approach, traffic data extracted from two network providers in South Africa is considered. The traffic data is first decomposed using traditional feature extraction approaches such as the Empirical Mode Decomposition (EMD) and the Discrete Wavelet Packet Transform (DWPT) approach. The results are then compared with the Difference Histogram approach which considers the number of segments of increase in the time series. Based on the features extracted, classification is then achieved by making use of a Fuzzy C-means algorithm. It is shown from the results obtained that a clear separation between subscriber classes based on inputted traffic signals is possible through the proposed approach. Further, based on the subscriber classes extracted, a novel two-level hybrid channel allocation approach is proposed that makes use of a Mixed Integer Linear Programming (MILP) model to consider the optimisation of radio resources in a mobile network. In the proposed model, two levels of channel allocation are considered: the first considers defining a fixed threshold of channels allocated to each cell in the network. The second level considers a dynamic channel allocation model to account for the variations in traffic experienced in each traffic class identified. Using the optimisation solver, CPLEX, it is shown that an optimal solution can be achieved with the proposed two-level hybrid allocation model
Florea, Alina Alexandra. "Optimisation de la transmission de phonie et vidéophonie sur les réseaux à larges bandes PMR." Phd thesis, Institut National des Télécommunications, 2013. http://tel.archives-ouvertes.fr/tel-00873686.
Full textTaylor, Randy Lyle. "Radio networks and the redefinition of local private radio." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0001/MQ37643.pdf.
Full textKaraminas, Panagiotis D. "Array processing in mobile radio networks." Thesis, Imperial College London, 2001. http://hdl.handle.net/10044/1/11483.
Full textGiortzis, Athanasios. "Channel assignment in mobile radio networks." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266017.
Full textToh, Chai-Keong. "Protocol aspects of mobile radio networks." Thesis, University of Cambridge, 1996. https://www.repository.cam.ac.uk/handle/1810/273055.
Full textBooks on the topic "Private mobile radio networks"
Colloquium on Mobile Radio Networks (1988 London). Colloquium on Mobile Radio Networks. London: IEE Electronics Division, 1988.
Find full textWalke, Bernhard. Mobile radio networks: Networking and protocols. Chichester: John Wiley & Sons, 1999.
Find full textMarriwala, Nikhil, C. C. Tripathi, Shruti Jain, and Dinesh Kumar, eds. Mobile Radio Communications and 5G Networks. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7018-3.
Full textMarriwala, Nikhil, C. C. Tripathi, Dinesh Kumar, and Shruti Jain, eds. Mobile Radio Communications and 5G Networks. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7130-5.
Full textYu, F. Richard, ed. Cognitive Radio Mobile Ad Hoc Networks. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3.
Full textYu, F. Richard. Cognitive radio mobile ad hoc networks. Edited by Tang Helen. New York: Springer, 2011.
Find full textRehmani, Mubashir Husain, and Riadh Dhaou, eds. Cognitive Radio, Mobile Communications and Wireless Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91002-4.
Full textWalke, Bernhard. Mobile radio networks: Networking, protocols and traffic performance. 2nd ed. West Sussex, UK: Wiley, 2001.
Find full textBook chapters on the topic "Private mobile radio networks"
Zhou, Chi. "Mobile Radio Communications." In Handbook of Computer Networks, 616–29. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118256114.ch40.
Full textHewitt, M. T. H. "Radio Spectrum for Mobile Networks." In Mobile Systems, 14–35. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-6377-8_2.
Full textDunlop, John, Demessie Girma, and James Irvine. "The Private Mobile Radio Environment." In Digital Mobile Communications and the Tetra System, 107–28. West Sussex, England: John Wiley & Sons, Ltd., 2013. http://dx.doi.org/10.1002/9781118832585.ch3.
Full textParsons, J. D., and J. G. Gardiner. "Using the radio channel in cellular radio networks." In Mobile Communication Systems, 244–52. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-1526-1_7.
Full textBenmammar, Badr, and Asma Amraoui. "Wireless and Mobile Networks." In Radio Resource Allocation and Dynamic Spectrum Access, 1–22. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118575116.ch1.
Full textHayashi, Tatsuya, Koji Nakano, and Stephan Olariu. "Randomized initialization protocols for packet radio networks." In Mobile Networks and Computing, 221–35. Providence, Rhode Island: American Mathematical Society, 2000. http://dx.doi.org/10.1090/dimacs/052/14.
Full textYang, Yaling, Chuan Han, and Bo Gao. "Delay in Cognitive Radio Networks." In Cognitive Radio Mobile Ad Hoc Networks, 249–84. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6172-3_10.
Full textEliodorou, Michalis, Tafseer Akhtar, Muhammad Tayyab, and Subin Narayanan. "Radio Resource Management and Access Polices for B5G." In Enabling 6G Mobile Networks, 71–121. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74648-3_3.
Full textAdigun, Olayinka, Mahdi Pirmoradian, and Christos Politis. "Cognitive Radio for 5G Wireless Networks." In Fundamentals of 5G Mobile Networks, 149–63. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118867464.ch6.
Full textEphremides, Anthony. "Distributed Protocols for Mobile Radio Networks." In The Impact of Processing Techniques on Communications, 287–306. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5113-6_14.
Full textConference papers on the topic "Private mobile radio networks"
Ktari, Salma, Stefano Secci, and Damien Lavaux. "Bayesian diagnosis and reliability analysis of Private Mobile Radio networks." In 2017 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2017. http://dx.doi.org/10.1109/iscc.2017.8024695.
Full textShin, Seonghan, Mohamed Imine, Hanane Fathi, Kazukuni Kobara, Neeli Prasad, and Hideki Imai. "A Leakage-Resilient and Forward-Secure Authenticated Key Exchange Protocol for Private Personal Area Networks." In 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2006. http://dx.doi.org/10.1109/pimrc.2006.254066.
Full textAilas, M., N. Hakem, and N. Kandil. "Analysis of EM reflections in a undergound mine for the CBRS band of Private mobile networks." In 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/USNC-URSI). IEEE, 2022. http://dx.doi.org/10.1109/ap-s/usnc-ursi47032.2022.9887293.
Full textPetrov, Daniel, and Taieb Znati. "Location privacy preserving protocols in database-enabled cognitive radio networks." In 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2017. http://dx.doi.org/10.1109/iwcmc.2017.7986277.
Full textHylamia, Abdullah, Ambuj Varshney, Andreas Soleiman, Panagiotis Papadimitratos, Christian Rohner, and Thiemo Voigt. "Towards Battery-free Radio Tomographic Imaging." In WiSec '18: 11th ACM Conference on Security & Privacy in Wireless and Mobile Networks. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3212480.3226107.
Full textMoser, Daniel, Vincent Lenders, and Srdjan Capkun. "Digital radio signal cancellation attacks." In WiSec '19: 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3317549.3319720.
Full textKhaledi, Mojgan, Mehrad Khaledi, Sneha Kumar Kasera, and Neal Patwari. "Preserving Location Privacy in Radio Networks Using a Stackelberg Game Framework." In MSWiM '16: 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2988272.2988277.
Full textLi, Haipeng, Chenggang Wang, Nirnimesh Ghose, and Boyang Wang. "Robust deep-learning-based radio fingerprinting with fine-tuning." In WiSec '21: 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3448300.3468253.
Full textTucker, Zhanel, and Chutima Boonthum-Denecke. "Security, privacy, and ethical concerns on human radio-frequency identification (RFID) implants." In WiSec '19: 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3317549.3326312.
Full textZhang, Zhikun, Heng Zhang, Shibo He, and Peng Cheng. "Achieving Bilateral Utility Maximization and Location Privacy Preservation in Database-Driven Cognitive Radio Networks." In 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2015. http://dx.doi.org/10.1109/mass.2015.93.
Full textReports on the topic "Private mobile radio networks"
Pursley, Michael B. Adaptive Transmission Protocols for Mobile Frequency-Hop Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada416509.
Full textDEFENSE SCIENCE BOARD WASHINGTON DC. Wideband Radio Frequency Modulation: Dynamic Access to Mobile Information Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada417214.
Full textSoroushnejad, Mohsen, and Evaggelos Geraniotis. Performance Comparison of Different Spread-Spectrum Signaling Schemes for Cellular Mobile Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada452365.
Full textDEFENSE SCIENCE BOARD WASHINGTON DC. Report of the Defense Science Board Task Force on Wideband Radio Frequency Modulation: Dynamic Access to Mobile Information Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada428978.
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