Academic literature on the topic '3rd generation wireless networks'
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Journal articles on the topic "3rd generation wireless networks"
Geng-Sheng Kuo, A. Mishra, and R. Prasad. "QoS and resource allocation in the 3rd-generation wireless networks [Guest Editorial]." IEEE Communications Magazine 39, no. 2 (February 2001): 115. http://dx.doi.org/10.1109/mcom.2001.900639.
Full textMarzook, Ali, Hayder Mohammed, and Hisham Roomi. "Performance of Non-Orthogonal Multiple Access (NOMA) with Successive Interference Cancellation (SIC)." 3D SCEEER Conference sceeer, no. 3d (July 1, 2020): 152–56. http://dx.doi.org/10.37917/ijeee.sceeer.3rd.21.
Full textKang, Yoohwa, Changki Kim, Donghyeok An, and Hyunsoo Yoon. "Multipath transmission control protocol–based multi-access traffic steering solution for 5G multimedia-centric network: Design and testbed system implementation." International Journal of Distributed Sensor Networks 16, no. 2 (February 2020): 155014772090975. http://dx.doi.org/10.1177/1550147720909759.
Full textXYNOGALAS, STAVROS, IOANNA ROUSSAKI, MARIA CHANTZARA, and MILTIADES ANAGNOSTOU. "CONTEXT MANAGEMENT IN VIRTUAL HOME ENVIRONMENT SYSTEMS." Journal of Circuits, Systems and Computers 13, no. 02 (April 2004): 293–311. http://dx.doi.org/10.1142/s021812660400143x.
Full textMoon, Jihun, and Yujin Lim. "A Reinforcement Learning Approach to Access Management in Wireless Cellular Networks." Wireless Communications and Mobile Computing 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/6474768.
Full textCelentano, Domenico, Antonio Fresa, Maurizio Longo, Fabio Postiglione, and Anton Luca Robustelli. "Secure Mobile IPv6 for Mobile Networks based on the 3GPP IP Multimedia Subsystem." Journal of Communications Software and Systems 3, no. 2 (June 21, 2007): 90. http://dx.doi.org/10.24138/jcomss.v3i2.257.
Full textPrakash, Monika, and Atef Abdrabou. "On the Fidelity of NS-3 Simulations of Wireless Multipath TCP Connections." Sensors 20, no. 24 (December 18, 2020): 7289. http://dx.doi.org/10.3390/s20247289.
Full textLin, Ling, and Antonio Liotta. "Presence in the IP Multimedia Subsystem." Mobile Information Systems 3, no. 3-4 (2007): 187–202. http://dx.doi.org/10.1155/2007/758738.
Full textSaafi, Salwa, Jiri Hosek, and Aneta Kolackova. "Enabling Next-Generation Public Safety Operations with Mission-Critical Networks and Wearable Applications." Sensors 21, no. 17 (August 28, 2021): 5790. http://dx.doi.org/10.3390/s21175790.
Full textDilli, Ravilla. "Performance analysis of multi user massive MIMO hybrid beamforming systems at millimeter wave frequency bands." Wireless Networks 27, no. 3 (February 4, 2021): 1925–39. http://dx.doi.org/10.1007/s11276-021-02546-w.
Full textDissertations / Theses on the topic "3rd generation wireless networks"
Venkatachalaiah, Suresh, and suresh@catt rmit edu au. "Mobility prediction and Multicasting in Wireless Networks: Performance and Analysis." RMIT University. Electrical and Computer Engineering, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070301.130037.
Full textShafin, Rubayet. "3D Massive MIMO and Artificial Intelligence for Next Generation Wireless Networks." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/97633.
Full textDoctor of Philosophy
Multiple-input-multiple-output (MIMO) is a technology where a transmitter with multiple antennas communicates with one or multipe receivers having multiple antennas. 3- dimensional (3D) massive MIMO is a recently developed technology where a base station (BS) or cell tower with a large number of antennas placed in a two dimensional array communicates with hundreds of user terminals simultaneously. 3D massive MIMO/full dimensional (FD) MIMO and application of artificial intelligence are two main driving forces for next generation wireless systems. This dissertation focuses on aspects of channel estimation and precoding for 3D massive MIMO systems and application of deep reinforcement learning (DRL) for MIMO broadcast beam synthesis. To be specific, downlink (DL) precoding and power allocation strategies are identified for a time-division-duplex (TDD) multi-cell multi-user massive FD-MIMO network. Utilizing channel reciprocity, DL channel state information (CSI) feedback is eliminated and the DL multi-user MIMO precoding is linked to the uplink (UL) direction of arrival (DoA) estimation through estimation of signal parameters via rotational invariance technique (ESPRIT). Assuming non-orthogonal/non-ideal spreading sequences of the UL pilots, the performance of the UL DoA estimation is analytically characterized and the characterized DoA estimation error is incorporated into the corresponding DL precoding and power allocation strategy. Simulation results verify the accuracy of our analytical characterization of the DoA estimation and demonstrate that the introduced multi-user MIMO precoding and power allocation strategy outperforms existing zero-forcing based massive MIMO strategies. In 3D massive MIMO systems, especially in TDD mode, a BS relies on the uplink sounding signals from mobile stations to obtain the spatial information for downlink MIMO processing. Accordingly, multi-dimensional parameter estimation of MIMO channel becomes crucial for such systems to realize the predicted capacity gains. In this work, we also study the joint estimation of elevation and azimuth angles as well as the delay parameters for 3D massive MIMO orthogonal frequency division multiplexing (OFDM) systems under a parametric channel modeling. We introduce a matrix-based joint parameter estimation method, and analytically characterize its performance for massive MIMO OFDM systems. Results show that antenna array configuration at the BS plays a critical role in determining the underlying channel estimation performance, and the characterized MSEs match well with the simulated ones. Also, the joint parametric channel estimation outperforms the MMSE-based channel estimation in terms of the correlation between the estimated channel and the real channel. Beamforming in MIMO systems is one of the key technologies for modern wireless communication. Creating wide common beams are essential for enhancing the coverage of cellular network and for improving the broadcast operation for control signals. However, in order to maximize the coverage, patterns for broadcast beams need to be adapted based on the users' movement over time. In this dissertation, we present a MIMO broadcast beam optimization framework using deep reinforcement learning. Our proposed solution can autonomously and dynamically adapt the MIMO broadcast beam parameters based on user' distribution in the network. Extensive simulation results show that the introduced algorithm can achieve the optimal coverage, and converge to the oracle solution for both single cell and multiple cell environment and for both periodic and Markov mobility patterns.
Nordio, Alessandro. "Advanced signal processing algorithms for 3rd generation wireless mobile systems /." [S.l.] : [s.n.], 2002. http://library.epfl.ch/theses/?nr=2550.
Full textYew, Alvin. "Policy-based management of context-aware services in 3rd Generation mobile networks." Thesis, University of Surrey, 2007. http://epubs.surrey.ac.uk/843082/.
Full textShepstone, Sven E. "AAL2 switching node to support voice services in 3rd and 4th generation networks." Master's thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/9773.
Full textThe research community and industry alike have, over the past decade, been showing considerable interest in packet-switching networks to support voice services as well as data services. A technology that was standardised to accommodate these delay-sensitive requirements is Asynchronous Transfer Mode (ATM), which deals particularly well at transporting uncompressed voice and data. However, due to the exponential increase in wireless applications and their supporting access technologies, a need has arisen for an infrastructure in the wide area network to support and maintain the QoS requirements of low-bit rate, compressed voice. An adaptation layer known as AAL2 was re-standardised to support these specialised voice services. However, a severe side-effect of using AAL2 with traditional ATM switches results in inefficient routing and waste-age of resources. In this study, a design for an AAL2 switching node will be proposed to address the above-mentioned issues. The design is comprised of modules that perform the following functions: Buffering, payload interrogation, protocol translations, packet classification, packet re- routing, timing, scheduling and support for signalling and management interfacing. The supporting architecture is targeted towards an embedded >286-based computing system, which itself is overlaid upon one or several ports of a high-speed, research-oriented ATM switch, known as the Washington University Gigabit Switch (WUGS). In order to evaluate the operation and performance of the AAL2 switch architecture, a testbed is proposed and implemented, comprising the AAL2 switch at the core, with a supporting infrastructure to emulate the generation and analysis of low bit-rate voice traffic over an AAL2 connection. By conducting a set of experiments, a series of operational and performance results will be presented. Particular focus will be placed on the performance and efficiency of the AAL2 layer over ATM, as well as the ability of the switch to route packets from multiple sources to a set of output connections in the correct manner.
Velayutham, Aravind Murugesan. "Transport Protocols for Next Generation Wireless Data Networks." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6957.
Full textWang, Qi. "Mobility support architectures for next-generation wireless networks." Thesis, University of Plymouth, 2006. http://hdl.handle.net/10026.1/2078.
Full textZhang, Shunqing. "Cooperative relay in the next generation wireless networks /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?ECED%202009%20ZHANGS.
Full textArino, Perez Victor. "Efficient Key Generation and Distributionon Wireless Sensor Networks." Thesis, KTH, Kommunikationsnät, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-141493.
Full textNader, Gustavo. "Ultra Wideband Interference on Third-Generation Wireless Networks." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/30046.
Full textPh. D.
Books on the topic "3rd generation wireless networks"
EURO-NGI Conference on Next Generation Internet Networks (3rd 2007 Trondheim, Norway). 2007 Next Generation Internet networks: 3rd EURO-NGI Conference on Next Generation Internet Networks : design and engineering for heterogeneity : NGI 2007, 21-23 May 2007, Trondheim, Norway. Piscataway, NJ: IEEE, 2007.
Find full textTekinay, Sirin. Next generation wireless networks. New York: Kluwer Academic Publishers, 2002.
Find full textHarvey, Michael G. Wireless Next Generation Networks. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11903-8.
Full textTekinay, Sirin, ed. Next Generation Wireless Networks. Boston: Kluwer Academic Publishers, 2002. http://dx.doi.org/10.1007/b117132.
Full textNanda, Sanjiv. Third Generation Wireless Information Networks. Boston, MA: Springer US, 1992.
Find full textNanda, Sanjiv, and David J. Goodman, eds. Third Generation Wireless Information Networks. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-4012-0.
Full textBlack, Uyless D. Second generation mobile and wireless networks. Upper Saddle River, NJ: Prentice Hall, 1999.
Find full textChen, Jyh-Cheng. IP-Based Next-Generation Wireless Networks. New York: John Wiley & Sons, Ltd., 2004.
Find full textChen, Hsiao-Hwa, and Mohsen Guizani. Next Generation Wireless Systems and Networks. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470024569.
Full textGhafoor, Saim, Mubashir Husain Rehmani, and Alan Davy. Next Generation Wireless Terahertz Communication Networks. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003001140.
Full textBook chapters on the topic "3rd generation wireless networks"
Tomarchio, Orazio, Andrea Calvagna, and Giuseppe Di Modica. "Virtual Home Environment for Multimedia Services in 3rd Generation Networks." In NETWORKING 2002: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications, 1221–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47906-6_111.
Full textFilipe Santos, João, Carlos Rodrigues, and João Paulo. "Mobility Management Experiments in Beyond 3rd Generation Wireless Networks Using Mobile IPv6." In Mobile Communications, 304–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36555-9_32.
Full textKumar, Sumit, Garimella Rama Murthy, and Naveen Chilamkurti. "Cooperative Mesh Networks." In Next-Generation Wireless Technologies, 7–13. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5164-7_2.
Full textManoj, B. S., Ramesh R. Rao, and Michele Zorzi. "Architectures and Protocols for Next Generation Cognitive Networking." In Cognitive Wireless Networks, 271–84. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5979-7_14.
Full textAbdo, Jacques Bou, Hakima Chaouchi, and Jacques Demerjian. "Security in Emerging 4G Networks." In Next-Generation Wireless Technologies, 243–72. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5164-7_12.
Full textMisra, Sudip, Sujata Pal, and Barun Kumar Saha. "Cooperation in Delay Tolerant Networks." In Next-Generation Wireless Technologies, 15–35. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5164-7_3.
Full textZhong, Sheng, Hong Zhong, Xinyi Huang, Panlong Yang, Jin Shi, Lei Xie, and Kun Wang. "Networking Cyber-Physical Systems: System Fundamentals of Security and Privacy for Next-Generation Wireless Networks." In Wireless Networks, 1–32. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01150-5_1.
Full textZhong, Sheng, Hong Zhong, Xinyi Huang, Panlong Yang, Jin Shi, Lei Xie, and Kun Wang. "Networking Cyber-Physical Systems: Algorithm Fundamentals of Security and Privacy for Next-Generation Wireless Networks." In Wireless Networks, 33–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01150-5_2.
Full textShaikh, Faisal Karim, Sherali Zeadally, and Farhan Siddiqui. "Energy Efficient Routing in Wireless Sensor Networks." In Next-Generation Wireless Technologies, 131–57. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5164-7_8.
Full textChilamkurti, Naveen. "Trends and Challenges of the Emerging Wireless Networks." In Next-Generation Wireless Technologies, 3–5. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5164-7_1.
Full textConference papers on the topic "3rd generation wireless networks"
Agrawal, Prathima, and David Famolari. "Mobile computing in next generation wireless networks." In the 3rd international workshop. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/313239.313277.
Full textLi, Yangzi, and Gengguo Cheng. "Fourth generation wireless communication network." In 2013 3rd International Conference on Consumer Electronics, Communications and Networks (CECNet). IEEE, 2013. http://dx.doi.org/10.1109/cecnet.2013.6703334.
Full textLijie, Gao, and Chen Zhigang. "Security in Next-Generation Wireless Sensor Networks." In 3rd International Conference on Computer Science and Service System. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/csss-14.2014.119.
Full textAkkari, Nadine, Samir Tohme, and Mahmoud Doughan. "Toward A Seamless Mobility Mangement in Next Generation Networks." In 2006 3rd International Symposium on Wireless Communication Systems. IEEE, 2006. http://dx.doi.org/10.1109/iswcs.2006.4362271.
Full text"Path Location Register for Next-Generation Heterogeneous Mobile Networks." In The 3rd International Workshop on Wireless Information Systems. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0002670301420151.
Full textFalowo, Olabisi E., and H. Anthony Chan. "Fuzzy Logic Based Call Admission Control for Next Generation Wireless Networks." In 2006 3rd International Symposium on Wireless Communication Systems. IEEE, 2006. http://dx.doi.org/10.1109/iswcs.2006.4362364.
Full textBadia, Leonardo, and Nicola Bui. "A group mobility model based on nodes' attraction for next generation wireless networks." In the 3rd international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1292331.1292402.
Full textKaddachi, Med Lassaad, Leila Makkaoui, Adel Soudani, Vincent Lecuire, and Jean-Marie Moureaux. "FPGA-based image compression for low-power Wireless Camera Sensor Networks." In 2011 3rd International Conference on Next Generation Networks and Services (NGNS). IEEE, 2011. http://dx.doi.org/10.1109/ngns.2011.6142537.
Full textXu, Fangmin, Luyong Zhang, Zheng Zhou, and Yabin Ye. "Architecture for Next-Generation Reconfigurable Wireless Networks using Cognitive Radio." In 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom). IEEE, 2008. http://dx.doi.org/10.1109/crowncom.2008.4562537.
Full textBen Alla, Said, Abdellah Ezzati, Ahmed Mouhsen, Abderrahim Beni Hssane, and Moulay Lahcen Hasnaoui. "Balanced and Centralized Distributed Energy Efficient Clustering for heterogeneous wireless sensor networks." In 2011 3rd International Conference on Next Generation Networks and Services (NGNS). IEEE, 2011. http://dx.doi.org/10.1109/ngns.2011.6142539.
Full textReports on the topic "3rd generation wireless networks"
Ludwig, R., A. Gurtov, and F. Khafizov. TCP over Second (2.5G) and Third (3G) Generation Wireless Networks. Edited by H. Inamura and G. Montenegro. RFC Editor, February 2003. http://dx.doi.org/10.17487/rfc3481.
Full textDafflon, Baptiste, S. Wielandt, S. Uhlemann, Haruko Wainwright, K. Bennett, Jitendra Kumar, Sebastien Biraud, Susan Hubbard, and Stan Wullschleger. Revolutionizing observations and predictability of Arctic system dynamics through next-generation dense, heterogeneous and intelligent wireless sensor networks with embedded AI. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1769774.
Full textMilek, Karen, and Richard Jones, eds. Science in Scottish Archaeology: ScARF Panel Report. Society of Antiquaries of Scotland, September 2012. http://dx.doi.org/10.9750/scarf.06.2012.193.
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