Literatura académica sobre el tema "Networks with underlay cognitive nodes"
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Artículos de revistas sobre el tema "Networks with underlay cognitive nodes"
Hussain, Syed Imtiaz, Mohamed M. Abdallah, Mohamed-Slim Alouini, Khalid Qaraqe y Mazen Hasna. "Relay selection in underlay cognitive networks with fixed transmission power nodes". Transactions on Emerging Telecommunications Technologies 24, n.º 7-8 (31 de julio de 2013): 734–47. http://dx.doi.org/10.1002/ett.2691.
Texto completoAlhamad, Raed y Hatem Boujemaa. "Intelligent Reflecting Surfaces with Adaptive Transmit Power for Underlay Cognitive Radio Networks". Wireless Communications and Mobile Computing 2022 (17 de agosto de 2022): 1–7. http://dx.doi.org/10.1155/2022/2787466.
Texto completoToan, Hoang Van y Vo Nguyen Quoc Bao. "Performance Analysis of Cognitive Two-Way Networks with Interference from Primary User over Nakagami-m Fading Channels". Journal of Science and Technology: Issue on Information and Communications Technology 3, n.º 1 (31 de marzo de 2017): 29. http://dx.doi.org/10.31130/jst.2017.35.
Texto completoKozić, Nadica, Vesna Blagojević, Aleksandra Cvetković y Predrag Ivaniš. "Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random Mobility". Sensors 23, n.º 9 (6 de mayo de 2023): 4518. http://dx.doi.org/10.3390/s23094518.
Texto completoGiang, Nguyen Hong, Vo Nguyen Quoc Bao y Hung Nguyen-Le. "Effect of CSI Imperfection on Cognitive Underlay Transmission over Nakagami-m Fading Channel". Journal of Science and Technology: Issue on Information and Communications Technology 1 (31 de agosto de 2015): 59. http://dx.doi.org/10.31130/jst.2015.13.
Texto completoHan, Xu, Lei Xue, Ying Xu y Zunyang Liu. "A Radio Environment Maps Estimation Algorithm based on the Pixel Regression Framework for Underlay Cognitive Radio Networks Using Incomplete Training Data". Sensors 20, n.º 8 (15 de abril de 2020): 2245. http://dx.doi.org/10.3390/s20082245.
Texto completoRaj, K. Shashi. "Interference resilient stochastic prediction based dynamic resource allocation model for cognitive MANETs". Indian Journal of Science and Technology 13, n.º 41 (10 de octubre de 2020): 4332–50. http://dx.doi.org/10.17485/ijst/v13i41.687.
Texto completoBakht, Khush, Furqan Jameel, Zain Ali, Wali Ullah Khan, Imran Khan, Guftaar Ahmad Sardar Sidhu y Jeong Woo Lee. "Power Allocation and User Assignment Scheme for beyond 5G Heterogeneous Networks". Wireless Communications and Mobile Computing 2019 (16 de noviembre de 2019): 1–11. http://dx.doi.org/10.1155/2019/2472783.
Texto completoTran Tin, Phu, Dang The Hung, Tan Nguyen, Tran Duy y Miroslav Voznak. "Secrecy Performance Enhancement for Underlay Cognitive Radio Networks Employing Cooperative Multi-Hop Transmission with and without Presence of Hardware Impairments". Entropy 21, n.º 2 (24 de febrero de 2019): 217. http://dx.doi.org/10.3390/e21020217.
Texto completoMinh Nam, Pham, Ha Duy Hung, Lam-Thanh Tu, Pham Viet Tuan, Tran Trung Duy y Tan Hanh. "Outage Performance of Interference Cancellation-Aided Two-Way Relaying Cognitive Network with Primary TAS/SC Communication and Secondary Partial Relay Selection". Electronics 11, n.º 22 (8 de noviembre de 2022): 3645. http://dx.doi.org/10.3390/electronics11223645.
Texto completoTesis sobre el tema "Networks with underlay cognitive nodes"
Jasbi, Fahimeh Jafarali. "Hybrid overlay/underlay cognitive radio networks with MC-CDMA". Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/hybrid-overlayunderlay-cognitive-radio-networks-with-mccdma(435d45a5-82c0-4507-9c53-23aa248988c9).html.
Texto completoAl-Hraishawi, Hayder Abed Hussein. "DESIGN AND ANALYSIS OF COGNITIVE MASSIVE MIMO NETWORKS WITH UNDERLAY SPECTRUM SHARING". OpenSIUC, 2017. https://opensiuc.lib.siu.edu/dissertations/1412.
Texto completoKabiri, Charles. "On the Performance of Underlay Cognitive Radio Networks with Interference Constraints and Relaying". Doctoral thesis, Blekinge Tekniska Högskola [bth.se], Faculty of Computing - Department of Communication Systems, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00609.
Texto completoTran, Hung. "Performance Analysis of Cognitive Radio Networks with Interference Constraints". Doctoral thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00550.
Texto completoSibomana, Louis. "Performance Analysis of Cognitive Radio Networks under Spectrum Sharing and Security Constraints". Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11739.
Texto completoChu, Thi My Chinh. "On the Performance Assessment of Advanced Cognitive Radio Networks". Doctoral thesis, Blekinge Tekniska Högskola [bth.se], Faculty of Computing - Department of Communication Systems, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00611.
Texto completoDevanarayana, Chamara. "Spectrum access in cognitive radio networks based on prediction and estimation". EURASIP Journal on Wireless Communications and Networking, 2011. http://hdl.handle.net/1993/31605.
Texto completoOctober 2016
Samarasekera, Andawattage Chaminda Janaka. "The Performance of Dual-Hop Decode-and-Forward Underlay Cognitive Relay Networks with Interference Power Constraints over Weibull Fading Channels". Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3201.
Texto completoLu, Lu. "Spectral-efficient design in modern wireless communications networks". Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53902.
Texto completoMoteka, Leutsoa. "User pairing and power allocation in underlay cognitive NOMA networks". Thesis, 2020. https://hdl.handle.net/10539/31115.
Texto completoThe unique structure of Non-Orthogonal Multiple Access (NOMA), a candidate for multiple access techniques for fifth-generation mobile networks, poses formidable design challenges when the number of users in the network rises. Fifth generation networks, however, demand hyper connected societies with phenomenal number of users. In a multi-channel NOMA system with a large number of users, the literature has shown that the best performance is achieved if no more than three users share a channel. Most research typically allocates two users to a channel. One of the key issues then is user pairing, which must be done in order to maximize the network capacity. A number of user pairing schemes have been derived in the literature, but these have been done mostly for non-cognitive radio networks. A need for user pairing schemes in cognitive networks has therefore risen. Developed schemes need to take into account a plethora of complications such as energy consumption and an increase in interference raised in the cognitive environment. The main focus of this dissertation is to mathematically model a framework to optimize power allocation and user pairing in a cognitive NOMA network. In particular, we determine various power allocation schemes that can cope with the severe energy constraints of an underlay cognitive network and employ these schemes for use indifferent user pairing schemes. First, we employ an underlay random pairing algorithm and an underlay channel state sorting pairing algorithm, for use in a large-scale network. Because of the low complexity of these algorithms, we use their performance to study and compare with other pairing algorithms. Then we propose a near-optimal preference list matching algorithm (PLMA) based on matching theory to perform user pairing. Performance evaluation of the proposed schemes is presented through simulations. Results show how that the preference list matching algorithm effectively outperforms other pairing algorithms and can also perform better that the Hungarian algorithm
CK2021
Capítulos de libros sobre el tema "Networks with underlay cognitive nodes"
Deka, Sanjib K. y Nityanada Sarma. "Channel-Usage Model in Underlay Cognitive Radio Networks". En Lecture Notes in Electrical Engineering, 115–23. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6154-8_12.
Texto completoMei, Yanan, Yanhui Lu, Xiaomin Mu y Xin Liu. "Distributed Fast Convergent Power Allocation Algorithm in Underlay Cognitive Radio Networks". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 345–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30493-4_34.
Texto completoKim, Su Min y Junsu Kim. "Buffer-Aided Relay Selection with Primary Sensing in Underlay Cognitive Radio Networks". En Lecture Notes in Electrical Engineering, 319–26. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1536-6_42.
Texto completoElShaarany, Ahmed M., Mohamed M. Abdallah, Salama Ikki, Mohamed M. Khairy y Khalid Qaraqe. "Best Relay Selection for DF Underlay Cognitive Networks with Different Modulation Levels". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 282–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24540-9_23.
Texto completoRawat, Danda B., Min Song y Sachin Shetty. "Resource Allocation in Spectrum Underlay Cognitive Radio Networks". En Dynamic Spectrum Access for Wireless Networks, 13–24. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15299-8_2.
Texto completoHe, Xiaoli, Hong Jiang, Yu Song y He Xiao. "Optimal Resource Allocation for Underlay Cognitive Radio Networks". En Cloud Computing and Security, 358–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00015-8_31.
Texto completoKarim, Hezerul Abdul, Hafizal Mohamad, Nordin Ramli y Aduwati Sali. "Multiple Description Video Coding for Underlay Cognitive Radio Network". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 643–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24540-9_53.
Texto completoJia, Jian, Ting Jiang, Wei Guo y Xiaoying Qiu. "Physical Layer Security of a Buffer-Aided Relay Selection for Underlay Cognitive Radio Network". En Lecture Notes in Electrical Engineering, 999–1006. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6508-9_121.
Texto completoHan, Hui, Xiang Chen y Yun Lin. "Novel Cognitive Radio Network Setup Mechanism Using Underlay as Control Channel to Enhance Efficiency". En Lecture Notes in Electrical Engineering, 61–67. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6571-2_8.
Texto completoHarounabadi, Mehdi, André Puschmann, Oleksandr Artemenko y Andreas Mitschele-Thiel. "TAG: Trajectory Aware Geographical Routing in Cognitive Radio Ad Hoc Networks with UAV Nodes". En Ad Hoc Networks, 111–22. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25067-0_9.
Texto completoActas de conferencias sobre el tema "Networks with underlay cognitive nodes"
Dhungana, Yamuna y Chintha Tellambura. "Outage probability of underlay cognitive relay networks with spatially random nodes". En GLOBECOM 2014 - 2014 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7037366.
Texto completoChen, Dan, Hong Ji y Xi Li. "Distributed best-relay node selection in underlay cognitive radio networks: A restless bandits approach". En 2011 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2011. http://dx.doi.org/10.1109/wcnc.2011.5779303.
Texto completoJeong, Youngmin, Tony Q. S. Quek y Hyundong Shin. "Downlink beamforming optimization for cognitive underlay networks". En Its Applications (Isita2010). IEEE, 2010. http://dx.doi.org/10.1109/isita.2010.5649545.
Texto completoSeyfi, Mehdi, Sami Muhaidat y Jie Liang. "Relay selection in underlay cognitive radio networks". En 2012 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2012. http://dx.doi.org/10.1109/wcnc.2012.6214285.
Texto completoKaushik, Ankit, Ralph Tanbourgi y Friedrich Jondral. "Operating characteristics of underlay cognitive relay networks". En 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2014. http://dx.doi.org/10.1109/pimrc.2014.7136351.
Texto completoChakravarthy, Vasu, Zhiqiang Wu, Michael Temple, Fred Garber y Xue Li. "Cognitive Radio Centric Overlay/Underlay Waveform". En 2008 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN). IEEE, 2008. http://dx.doi.org/10.1109/dyspan.2008.20.
Texto completoTourki, Kamel, Khalid A. Qaraqe y Mohamed-Slim Alouini. "Outage analysis for underlay relay-assisted cognitive networks". En GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503284.
Texto completoLameiro, Christian, Ignacio Santamaria, Wolfgang Utschiclk y Peter J. Schreier. "Maximally improper interference in underlay cognitive radio networks". En 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472361.
Texto completoMarques, Antonio G., Sergio Molinero y Georgios B. Giannakis. "Underlay multi-hop cognitive networks with orthogonal access". En 2015 IEEE 16th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). IEEE, 2015. http://dx.doi.org/10.1109/wowmom.2015.7158197.
Texto completoTanab, Manal El, Yasmine Fahmy y Mohamed M. Khairy. "Opportunistic splitting algorithm for underlay cognitive radio networks". En 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2014. http://dx.doi.org/10.1109/icufn.2014.6876738.
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