Academic literature on the topic 'Radio resource management'
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Journal articles on the topic "Radio resource management"
Sallent, Oriol, Lorenza Giupponi, Jad Nasreddine, Ramon Agusti, and Jordi Perez-Romero. "Spectrum and radio resource management." IEEE Vehicular Technology Magazine 3, no. 4 (December 2008): 56–64. http://dx.doi.org/10.1109/mvt.2008.931527.
Full textPrasad, Athul, Anass Benjebbour, Omer Bulakci, Klaus I. Pedersen, Nuno K. Pratas, and Marco Mezzavilla. "Agile Radio Resource Management Techniques for 5G New Radio." IEEE Communications Magazine 55, no. 6 (2017): 62–63. http://dx.doi.org/10.1109/mcom.2017.7945854.
Full textHan, C., and S. Armour. "Energy efficient radio resource management strategies for green radio." IET Communications 5, no. 18 (December 16, 2011): 2629–39. http://dx.doi.org/10.1049/iet-com.2011.0113.
Full textZorzi, M. "Mobility support and radio resource management." IEEE Wireless Communications 11, no. 5 (October 2004): 2. http://dx.doi.org/10.1109/mwc.2004.1351674.
Full textHills, A., and B. Friday. "Radio resource management in wireless LANs." IEEE Communications Magazine 42, no. 12 (December 2004): S9–14. http://dx.doi.org/10.1109/mcom.2004.1367553.
Full textYanikomeroglu, Halim, Mohamed H. Ahmed, and Bassam Hashem. "Radio Resource Management for Wireless Internet." Wireless Communications and Mobile Computing 3, no. 7 (2003): 801–2. http://dx.doi.org/10.1002/wcm.182.
Full textSalazar, Jos ́e, Ismael Gómez, and Antoni Gelonch. "Adaptive Resource Management and Flexible Radios for WiMAX." Journal of Telecommunications and Information Technology, no. 4 (June 26, 2023): 101–7. http://dx.doi.org/10.26636/jtit.2009.4.996.
Full textDevika SV, Et al. "Radio Resource Management Satellite Communication Network MCDM Method." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (November 2, 2023): 1826–32. http://dx.doi.org/10.17762/ijritcc.v11i10.8759.
Full textNonchev, Stanislav, and Mikko Valkama. "ADVANCED RADIO RESOURCE MANAGEMENT FOR MULTI ANTENNA PACKET RADIO SYSTEMS." International Journal of Wireless & Mobile Networks 2, no. 2 (May 10, 2010): 1–14. http://dx.doi.org/10.5121/ijwmn.2010.2201.
Full textGerasimenko, Mikhail, Dmitri Moltchanov, Roman Florea, Sergey Andreev, Yevgeni Koucheryavy, Nageen Himayat, Shu-Ping Yeh, and Shilpa Talwar. "Cooperative Radio Resource Management in Heterogeneous Cloud Radio Access Networks." IEEE Access 3 (2015): 397–406. http://dx.doi.org/10.1109/access.2015.2422266.
Full textDissertations / Theses on the topic "Radio resource management"
Valente, Pedro Brigas. "WiFi radio resource management." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23484.
Full textPassive optical networks have been subject of research in recent years, standing out from the other distribution networks not only by the speed and distribution of multiple services, including video, data and voice, but also by the absence of active equipment between the central and terminal devices, not requiring the use of electricity. Also the progress made in mobile and "smart" equipment led to the increase of its popularity and personal use. The increase of mobile devices, as well as their features, were boosted by the evolution of WiFi technologies, mostly fueled by passive optical networks, favoring the connection of several devices through radio waves. There has been several improvements in wireless communications, especially in WiFi technology, in order to keep up with the speed increase in optical distribution networks. However the limitations in the frequency spectrum and the vast implementation of the technology itself became an obstacle to the development of WiFi networks. The main goal of this dissertation is the development of processes dedicated to the frequency spectrum management in WiFi networks within environments congestedbymultipleradiosignaltransmitters. Thisworkisdevelopedaround a gateway under development by Altice Labs combining optical network terminal and access point features, and presents a solution to the equipment transmission power management and the frequency channel selection.
As redes ópticas passivas têm sido alvo de grande investigação nos últimos anosdestacando-sedasoutrasredesdedistribuiçãonãosópelavelocidadee distribuição de multiplos serviços, incluindo video, dados e voz, mas também pela ausência de equipamentos activos entre a central local e o equipamento terminal, não sendo necessário o uso de energia eléctrica. Também o avanço que se tem verificado no desenvolvimento de equipamentos móveis e "inteligentes" tem levado a sua popularidade e utilização a crescer de forma constante. Por sua vez, este aumento do número de dispositivos móveis, bem como das respectivas características, foi impulsionado pela evolução da tecnologia WiFi, em grande parte alimentada pelas redes ópticas passivas, facilitando a conexão de múltiplos dispositivos através de ondas de rádio. Têm sido várias as melhorias nas comunicações sem fios, especialmente na tecnologia WiFi, no sentido de acompanhar o aumento da velocidade das redes de distribuição ópticas. No entanto as limitações ao nível do espectro de frequência e a vasta implementação da própria tecnologia têm-se revelado obstáculos ao desenvolvimento das redes WiFi. Esta dissertação tem como objectivo o desenvolvimento de soluções para a gestão do espectro de frequência das rede WiFi em ambientes congestionados pela presença de múltiplos transmissores de sinal rádio. Este trabalho é desenvolvido sob um gateway em desenvolvimento pela Altice Labs que combina as funcionalidades de um terminal de redes ópticas e de um access point, e apresenta uma solução para a gestão da potência de transmissão do equipamento e para a escolha do canal de frequência a utilizar.
Pirmoradian, Mahdi. "Radio resource management for cognitive radio networks." Thesis, Kingston University, 2012. http://eprints.kingston.ac.uk/23723/.
Full textShabbir, Noman, and Hasnain Kasif. "Radio Resource Management in WiMAX." Thesis, Blekinge Tekniska Högskola, Avdelningen för signalbehandling, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1227.
Full textKnutsson, Björn. "Simulation of radio resource management for UMTS." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2364.
Full textA current trend in the information society is that traditionally fixed computing resources are made available to mobile users. Most of the existing techniques for communication have been developed for stationary computing, and they must be adapted to the different connection properties of the mobile environment. One of the emerging mobile computing environments is the Universal Mobile Telecommunication System, UMTS. This system places demands on the quality of service that is provided to data flows, which requires resource management in the connection network. The most scarce resources in this system is the radio resources. The easiest way to conduct research in new and adapted techniques for communication is to perform simulations. Management of resources places restrictions on connections, and to get reliable results during simulations it must be included in the simulated environment. The thesis discusses and builds a basis for development of UMTS radio resource management in the network simulator ns-2. A limited version of UMTS radio resource management is added to ns-2 and evaluated.
Ellingsæter, Brage Høyland. "Cognitive Radio: Interference Management and Resource Allocation." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11295.
Full textPiao, Guihua. "Radio resource management for integrated services in multi-radio access networks." Kassel Kassel Univ. Press, 2006. http://www.uni-kassel.de/hrz/db4/extern/dbupress/publik/abstract.php?978-3-89958-269-7.
Full textPiao, Guihua. "Radio resource management for integrated services in multi-radio access networks." Kassel Kassel Univ. Press, 2007. http://d-nb.info/986595012/34.
Full textShatila, Hazem Sarwat. "Adaptive Radio Resource Management in Cognitive Radio Communications using Fuzzy Reasoning." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26618.
Full textPh. D.
Gómez, Ismael. "Radio and computing resource management in SDR clouds." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/134882.
Full textEl objetivo de esta tesis es de nir y desarrollar el concepto de gesti on e ciente de los recursos de radio y computaci on en un SDR cloud. El SDR cloud rompe con la estructura del sistema celular actual. Un conjunto de antenas distribuidas se conectan a centros de procesamiento mediante enlaces de comunicaci on de bra optica. La infraestructura de radio y procesamiento puede ser compartida entre distintos operadores (virtualizacion), disminuyendo costes y riesgos, aumentando la capacidad y abriendo nuevos modelos y oportunidades de negocio. La centralizaci on de la gesti on del sistema viene soportada por el centro de procesamiento, donde se realiza una gesti on de todos los recursos del sistema: antenas, espectro, computaci on, enrutado, etc. Resulta de especial relevancia la gesti on de los recursos de computaci on (CRM) cuyo objetivo es el de proveer, din amicamente, de su cientes recursos de computaci on para la ejecuci on en tiempo real de algoritmos de procesado del señal. Las t ecnicas actuales de CRM no han sido diseñadas para aplicaciones de comunicaciones. Demostramos que esta caracter stica impone un l ímite en el tr áfi co que un gestor CRM puede soportar. En base a ello, proponemos una gesti on distribuida donde m ultiples entidades CRM gestionan grupos de procesadores, cuyo tamaño optimo se deriva de la densidad de tr áfi co. Las t ecnicas actuales de gesti on de recursos radio (RRM) tambi en deben ser adaptadas a las caracter sticas de la nueva arquitectura SDR cloud. Introducimos un modelo de coste lineal que caracteriza los costes asociados al consumo de recursos de la infraestructura seg un el modelo de pago-por-uso. A partir de este modelo, formulamos el problema de asignaci on de potencia de m axima e ciencia (EMPA). Mediante una asignaci on EMPA, los costes de operaci on por bit transmitido son del orden de 6 veces menores que con los m etodos tradicionales. Se han obtenido soluciones anal ticas para el caso de un solo canal, con y sin informacion del canal disponible en el transmisor, y se ha demostrado que la velocidad optima de transmisi on es una funci on creciente del producto de la ganancia del canal por los costes operativos dividido entre los costes de potencia. La soluci on EMPA para varios canales satisface el modelo "water- lling", presente en muchos tipos de optimizaci on de potencia. Con el objetivo de conocer c omo esta se comporta en funci on de los par ametros del sistema, se ha desarrollado una t ecnica nueva basada en estadí sticas ordenadas. Esta t ecnica permite solucionar el problema del water- lling bas andose en la estadí stica del canal en vez de en su realizaci on. Este planteamiento, despu es de profundos an alisis matem aticos, ha permitido desarrollar un algoritmo de asignaci on de potencia de baja complejidad (2 a 4 ordenes de magnitud m as r apido que el estado del arte). Mediante esta t ecnica, se ha demostrado que la velocidad optima de transmisi on se comporta de forma equivalente al caso de un solo canal y que la e ciencia incrementa a medida que aumentan el numero de canales disponibles. Estos resultados pueden aplicarse a diseñar un SDR cloud de forma m as e ciente. A modo de ejemplo, hemos obtenido el ratio optimo de n umero de antenas por usuario que maximiza la e ciencia. A medida que los usuarios entran y salen de la red, este ratio debe mantenerse constante, a fin de mantener una efi ciencia lo m as alta posible, activando o desactivando antenas din amicamente. De esta forma se explota completamente el dinamismo ofrecido por una arquitectura el astica como el SDR cloud. En de nitiva, este trabajo pretende incidir en un cambio del modelo de gesti on de un sistema de comunicaciones (t ípicamente RRM) habida cuenta de la introducci on de una nueva infraestructura (SDR cloud), nuevos modelos de negocio (basados en Cloud Computing) y una visi on m as integradora de la gesti on e ciente de los recursos del sistema, no solo centrada en la optimizaci on del uso del espectro.
Shaat, Musbah M. R. "Resource Management in Multicarrier Based Cognitive Radio Systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/81300.
Full textEl crecimiento continuo de las aplicaciones y servicios en sistemas inal´ambricos, indica la importancia y necesidad de una utilizaci´on eficaz del espectro radio. Las pol´ıticas actuales de gesti´on del espectro han conducido a una infrautilizaci´on del propio espectro radioel´ectrico. Recientes mediciones en diferentes entornos han mostrado que gran parte del espectro queda poco utilizado en sus ambas vertientes, la temporal, y la espacial. El permanente conflicto entre el uso ineficiente del espectro y la evoluci´on continua de los sistemas de comunicaci´on inal´ambrica, hace que sea urgente y necesario el desarrollo de esquemas de gesti´on del espectro m´as flexibles. Se considera el acceso din´amico (DSA) al espectro en los sistemas cognitivos como una tecnolog´ıa clave para resolver este conflicto al permitir que un grupo de usuarios secundarios (SUs) puedan compartir y acceder al espectro asignado inicialmente a uno o varios usuarios primarios (PUs). Las operaciones de comunicaci´on llevadas a cabo por los sistemas radio cognitivos no deben en ning´un caso alterar (interferir) los sistemas primarios. Por tanto, el control de la interferencia junto al gran dinamismo de los sistemas primarios implica nuevos retos en el control y asignaci´on de los recursos radio en los sistemas de comunicaci´on CR. Los algoritmos de gesti´on y asignaci´on de recursos (Radio Resource Management-RRM) deben garantizar una participaci´on efectiva de las bandas con frecuencias disponibles temporalmente, y ofrecer en cada momento oportunas soluciones para hacer frente a los distintos cambios r´apidos que influyen en la misma red. En esta tesis doctoral, se analiza el problema de la gesti´on de los recursos radio en sistemas multiportadoras CR, proponiendo varias soluciones para su uso eficaz y coexistencia con los PUs. La tesis en s´ı, se centra en tres l´ıneas principales: 1) el dise˜no de algoritmos eficientes de gesti´on de recursos para la asignaci´on de sub-portadoras y distribuci´on de la potencia en sistemas segundarios, evitando asi cualquier interferencia que pueda ser perjudicial para el funcionamiento normal de los usuarios de la red primaria, 2) analizar y comparar la eficiencia espectral alcanzada a la hora de utilizar diferentes esquema de transmisi´on multiportadora en la capa f´ısica del sistema CR, espec´ıficamente en sistemas basados en OFDM y los basados en banco de filtros multiportadoras (Filter bank Multicarrier-FBMC), 3) investigar el impacto de las diferentes limitaciones en el rendimiento total del sistema de CR. Los escenarios considerados en esta tesis son tres, es decir; modo de transmisi´on descendente (downlink), modo de transmisi´on ascendente (uplink), y el modo de transmisi´on ”Relay”. En cada escenario, la soluci´on ´optima es examinada y comparada con algoritmos sub- ´optimos que tienen como objetivo principal reducir la carga computacional. Los algoritmos sub-´optimos son llevados a cabo en dos fases mediante la separaci´on del propio proceso de distribuci´on de subportadoras y la asignaci´on de la potencia en los modos de comunicaci´on descendente (downlink), y ascendente (uplink). Para los entornos de tipo ”Relay”, se ha utilizado la t´ecnica de doble descomposici´on (dual decomposition) para obtener una soluci´on asint´oticamente ´optima. Adem´as, se ha desarrollado un algoritmo heur´ıstico para poder obtener la soluci´on ´optima con un reducido coste computacional. Los resultados obtenidos mediante simulaciones num´ericas muestran que los algoritmos sub-´optimos desarrollados logran acercarse a la soluci´on ´optima en cada uno de los entornos analizados, logrando as´ı un mayor rendimiento que los ya existentes y utilizados tanto en entornos cognitivos como no-cognitivos. Se puede comprobar en varios resultados obtenidos en la tesis la superioridad del esquema multiportadora FBMC sobre los sistemas basados en OFDM para los entornos cognitivos, causando una menor interferencia que el OFDM en los sistemas primarios, y logrando una mayor eficiencia espectral. Finalmente, en base a lo analizado en esta tesis, podemos recomendar al esquema multiportadora FBMC como una id´onea y potente forma de comunicaci´on para las futuras redes cognitivas.
Books on the topic "Radio resource management"
Daeyoung, Park, and Seo Hanbyul, eds. Wireless communications resource management. Singapore: J. Wiley & Sons (Asia), 2009.
Find full textPerez-Romero, Jordi. Radio Resource Management Strategies in UMTS. New York: John Wiley & Sons, Ltd., 2005.
Find full textPérez-Romero, Jordi, Oriol Sallent, Ramon Agustí, and Miguel Angel Díaz-Guerra. Radio Resource Management Strategies in UMTS. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470022795.
Full textTripathi, Nishith D., Jeffrey H. Reed, and Hugh F. VanLandingham. Radio Resource Management in Cellular Systems. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/b117444.
Full textJordi, Pérez-Romero, ed. Radio resource management strategies in UMTS. Chichester, West Sussex, England: Hoboken, N.J., 2005.
Find full textHugh, Reed Jeffrey, and Van Landingham, Hugh F., 1935-, eds. Radio resource management in cellular systems. Boston: Kluwer Academic Publishers, 2001.
Find full textTripathi, Nishith D. Radio resource management in cellular systems. Boston: Kluwer Academic Publishers, 2001.
Find full textHe, Peter, Lian Zhao, Sheng Zhou, and Zhisheng Niu. Radio Resource Management Using Geometric Water-Filling. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04636-5.
Full textATM network resource management. New York: McGraw-Hill, 1997.
Find full textJean-Marc, Chaduc, and Pogorel Gerard, eds. The radio spectrum: Managing a strategic resource. Hoboken, NJ, USA: Wiley, 2008.
Find full textBook chapters on the topic "Radio resource management"
Kruys, Jan, and Luke Qian. "Radio Resource Management." In Sharing RF Spectrum with Commodity Wireless Technologies, 199–216. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1585-1_10.
Full textKazmi, Muhammad. "Radio Resource Management." In LTE - The UMTS Long Term Evolution, 503–30. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470978504.ch22.
Full textStüber, Gordon L. "Radio Resource Management." In Principles of Mobile Communication, 593–641. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55615-4_13.
Full textHolma, Harri, Troels Kolding, Klaus Pedersen, and Jeroen Wigard. "Radio resource management." In HSDPA/HSUPA for UMTS, 95–121. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470032634.ch6.
Full textMonserrat, Jose F., Gunther Auer, David Martin-Sacristan, and Pawel Sroka. "Radio Resource Management." In Mobile and Wireless Communications for IMT-Advanced and Beyond, 11–41. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976431.ch2.
Full textHolma, Harri, Troels Kolding, Daniela Laselva, Klaus Pedersen, Claudio Rosa, and Ingo Viering. "Radio Resource Management." In LTE for UMTS, 203–35. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119992943.ch8.
Full textHolma, Harri, Klaus Pedersen, Jussi Reunanen, Janne Laakso, and Oscar Salonaho. "Radio Resource Management." In WCDMA for UMTS, 231–68. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470870982.ch9.
Full textStüber, Gordon L. "Radio Resource Management." In Principles of Mobile Communication, 705–69. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0364-7_13.
Full textHolma, Harri, Klaus Pedersen, Jussi Reunanen, Janne Laakso, and Oscar Salonaho. "Radio Resource Management." In WCDMA for UMTS, 219–53. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470669501.ch9.
Full textSong, Lingyang, Zhu Han, and Chen Xu. "Radio Resource Management." In Resource Management for Device-to-Device Underlay Communication, 33–50. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8193-5_3.
Full textConference papers on the topic "Radio resource management"
Butts, Norm. "MUOS radio resource management algorithms." In MILCOM 2008 - 2008 IEEE Military Communications Conference (MILCOM). IEEE, 2008. http://dx.doi.org/10.1109/milcom.2008.4753475.
Full textKim, Dongsoo S., and Jamel Othman. "Session details: Radio resource management." In ICUIMC '12: The 6th International Conference on Ubiquitous Information Management and Communication. New York, NY, USA: ACM, 2012. http://dx.doi.org/10.1145/3248152.
Full textShin, Jitae. "Session details: Radio resource management." In ICUIMC '11: The 5th International Conference on Ubiquitous Information Management and Communication. New York, NY, USA: ACM, 2011. http://dx.doi.org/10.1145/3244667.
Full textKhawam, Kinda, Johanne Cohen, Dana Marinca, and Samir Tohme. "Elastic Game Based Radio Resource Management." In 2012 IEEE Vehicular Technology Conference (VTC 2012-Spring). IEEE, 2012. http://dx.doi.org/10.1109/vetecs.2012.6240037.
Full textSoret, B., M. Gatnau Sarret, I. Z. Kovacs, F. J. Martin-Vega, G. Berardinelli, and N. H. Mahmood. "Radio Resource Management for V2V Discovery." In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). IEEE, 2017. http://dx.doi.org/10.1109/vtcspring.2017.8108538.
Full textMarojevic, V., X. Reves, and A. Gelonch. "Cooperative Resource Management in Cognitive Radio." In 2007 IEEE International Conference on Communications. IEEE, 2007. http://dx.doi.org/10.1109/icc.2007.984.
Full textGao, Qiubin, Rui Zhao, Wenhong Chen, Ying Peng, Bin Guo, and Shaohui Sun. "Radio resource management of D2D communication." In 2014 IEEE International Conference on Communication Systems (ICCS). IEEE, 2014. http://dx.doi.org/10.1109/iccs.2014.7024755.
Full text"Wireless 1: Radio resource management schemes." In 2008 5th International Conference on Broadband Communications, Networks and Systems. IEEE, 2008. http://dx.doi.org/10.1109/broadnets.2008.4769069.
Full textChernov, Alexey, Vladislav Matyukhin, Michael Somov, Egor Barashov, Julia Chernova, and Victor Mishin. "Radio Resource Management in 5G networks." In 2020 International Conference Engineering and Telecommunication (En&T). IEEE, 2020. http://dx.doi.org/10.1109/ent50437.2020.9431259.
Full textChin, Choong Ming, Sverrir Olafsson, Botond Virginas, and Gilbert Owusu. "Radio Resource Management via Spectrum Trading." In 2008 IEEE Vehicular Technology Conference (VTC 2008-Spring). IEEE, 2008. http://dx.doi.org/10.1109/vetecs.2008.407.
Full textReports on the topic "Radio resource management"
Shiang, Hsien-Po, and Mihaela van der Schaar. Distributed Resource Management in Multi-hop Cognitive Radio Networks for Delay Sensitive Transmission. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada481600.
Full textMacpherson, Hannah. Arts Interventions for Sustainable Sanitation and Resource Recovery. Institute of Development Studies, March 2023. http://dx.doi.org/10.19088/ids.2023.013.
Full textDesiderati, Christopher. Carli Creek Regional Water Quality Project: Assessing Water Quality Improvement at an Urban Stormwater Constructed Wetland. Portland State University, 2022. http://dx.doi.org/10.15760/mem.78.
Full textBlumwald, Eduardo, and Avi Sadka. Sugar and Acid Homeostasis in Citrus Fruit. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7697109.bard.
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