Academic literature on the topic 'Backhaul topology'
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Journal articles on the topic "Backhaul topology"
Frascolla, Valerio, Cristina Dominicini, Marcia Paiva, Gilles Caporossi, Marcelo Marotta, Moises Ribeiro, Marcelo Segatto, Magnos Martinello, Maxwell Monteiro, and Cristiano Both. "Optimizing C-RAN Backhaul Topologies: A Resilience-Oriented Approach Using Graph Invariants." Applied Sciences 9, no. 1 (January 2, 2019): 136. http://dx.doi.org/10.3390/app9010136.
Full textSantos, Ricardo, Konstantin Koslowski, Julian Daube, Hakim Ghazzai, Andreas Kassler, Kei Sakaguchi, and Thomas Haustein. "mmWave Backhaul Testbed Configurability Using Software-Defined Networking." Wireless Communications and Mobile Computing 2019 (April 8, 2019): 1–24. http://dx.doi.org/10.1155/2019/8342167.
Full textLi, Yongcheng, Anliang Cai, Guangyi Qiao, Lei Shi, Sanjay Kumar Bose, and Gangxiang Shen. "Multi-Objective Topology Planning for Microwave-Based Wireless Backhaul Networks." IEEE Access 4 (2016): 5742–54. http://dx.doi.org/10.1109/access.2016.2581187.
Full textZhao, Wei, and Wen-Hsing Kuo. "Utility-Based Wireless Routing Algorithm for Massive MIMO Heterogeneous Networks." Applied Sciences 10, no. 20 (October 17, 2020): 7261. http://dx.doi.org/10.3390/app10207261.
Full textNomikos, Nikolaos, Prodromos Makris, Dimitrios N. Skoutas, Demosthenes Vouyioukas, and Charalambos Skianis. "Wireless Femto-Relays." International Journal of Wireless Networks and Broadband Technologies 4, no. 1 (January 2015): 45–61. http://dx.doi.org/10.4018/ijwnbt.2015010104.
Full textGu, Zhiqun, Jiawei Zhang, Yuefeng Ji, Lin Bai, and Xiang Sun. "Network Topology Reconfiguration for FSO-Based Fronthaul/Backhaul in 5G+ Wireless Networks." IEEE Access 6 (2018): 69426–37. http://dx.doi.org/10.1109/access.2018.2880880.
Full textPetri, Markus, Marcus Ehrig, and Markus Günther. "A Fast Link Initialization Protocol for Beam-Steering based Cellular Backhaul Systems." Network Protocols and Algorithms 7, no. 2 (August 2, 2015): 113. http://dx.doi.org/10.5296/npa.v7i2.7440.
Full textMoghaddasi, Jaber, and Ke Wu. "Planar 180° hybrid coupler with non-interspersed ports for millimeter-wave applications." International Journal of Microwave and Wireless Technologies 12, no. 4 (December 11, 2019): 293–302. http://dx.doi.org/10.1017/s1759078719001533.
Full textHilt, Attila. "Availability and Fade Margin Calculations for 5G Microwave and Millimeter-Wave Anyhaul Links." Applied Sciences 9, no. 23 (December 2, 2019): 5240. http://dx.doi.org/10.3390/app9235240.
Full textLialios, Dimitrios I., Nikolaos Ntetsikas, Konstantinos D. Paschaloudis, Constantinos L. Zekios, Stavros V. Georgakopoulos, and George A. Kyriacou. "Design of True Time Delay Millimeter Wave Beamformers for 5G Multibeam Phased Arrays." Electronics 9, no. 8 (August 18, 2020): 1331. http://dx.doi.org/10.3390/electronics9081331.
Full textDissertations / Theses on the topic "Backhaul topology"
Cardoso, Karyna Silveira. "Um estudo da aplica??o de backhaul h?brido de RoF e r?dio em RSSF." Pontif?cia Universidade Cat?lica de Campinas, 2015. http://tede.bibliotecadigital.puc-campinas.edu.br:8080/jspui/handle/tede/555.
Full textThis study proposes a strategy to access sensor nodes of a wireless sensor network clumped together in clusters that come together in cells through a hybrid radio topology and / or fiber. In this topology, communication between wireless sensor networks and the repeater is via radio, while the backhaul communication between the base and repeaters will be hybrid and can use radio or fiber. Therefore, the proposal includes a flexible topology, using both radio as fiber in the backhaul and access to sensor nodes via a wireless sensor network. For demonstration of the proposed, tests were done on a channel emulation bench using fiber backhaul between the base and a repeater element. These tests were performed on the 915 MHz band, the FSK varying its transmission rate to assess the coverage area for each rate. As a result curves were obtained showing that for a fixed RSSI, the higher the worse transmission rate is the bit error rate. And the higher the lowest environmental attenuation factor will be the coverage area at all rates tested. Therefore the lower the reception power, the greater the distance between the sensors. Also tests were made in a real environment to evaluate the protocols implemented. It consists in the access of the node sensors of the clusters through multiple hops and reception power measurements of each sensor node and a packet loss rate. Through testing it has verified the operation of the proposal and implemented the flexible topology proposal.
O presente trabalho prop?e uma estrat?gia para acessar n?s sensores de uma rede de sensores sem fio (RSSF) aglutinados em clusters que se unem em c?lulas atrav?s de uma topologia h?brida de r?dio e/ou fibra. Nesta topologia, a comunica??o entre as redes de sensores sem fio e o repetidor ser? via r?dio, enquanto o backhaul de comunica??o entre a base e os repetidores ser? h?brido, podendo utilizar r?dio ou fibra. Portanto, a proposta abrange uma topologia flex?vel, utilizando tanto r?dio quanto fibra no backhaul e acesso aos n?s sensores via uma rede de sensores sem fio. Para demonstrar a proposta foram feitos testes em uma bancada de emula??o de canal utilizando backhaul de fibra entre a base e um elemento repetidor. Estes testes foram realizados na faixa de 915 MHZ, na modula??o FSK variando a sua taxa de transmiss?o, para avaliar a ?rea de cobertura para cada taxa. Como resultados foram obtidas curvas que mostram que para uma RSSI fixa, quanto maior a taxa de transmiss?o pior ser? a taxa de erros de bits (BER). E quanto maior o fator de atenua??o do ambiente menor ser? a ?rea de cobertura da rede em todas as taxas testadas. Logo quanto menor a pot?ncia recep??o, maior a dist?ncia entre os n?s sensores. Tamb?m foram realizados testes em um ambiente real para avaliar os protocolos implementados. Estes testes consistiam no acesso dos n?s sensores dos clusters atrav?s de m?ltiplos saltos e medi??o dos valores de pot?ncia de recep??o de cada n? sensor e sua taxa de perda de pacotes (PER). Atrav?s dos testes realizados foi comprovado o funcionamento da proposta implementada e a topologia flex?vel proposta.
Sapountzis, Nikolaos. "Optimisation au niveau réseau dans le cadre des réseaux hétérogènes nouvelle génération." Electronic Thesis or Diss., Paris, ENST, 2016. http://www.theses.fr/2016ENST0082.
Full textBy 2016, it is well-known that mobile networking has dominated our lives. We use our mobile cell phones for almost everything: from social networking to streaming, finding accommodation or banking. Nevertheless, it seems that operators have not understood yet this domination, since their networks consist of nodes that: (i) suffer from enormous load fluctuations, (ii) waste their resources, and (iii) are blamed to be a major energy-killer worldwide. Such shortcomings hurt: load-balancing, spectral and energy efficiency, respectively. The goal of this dissertation is to carefully study these efficiencies and achieve a good trade-off between them for future mobile 5G heterogeneous networks (HetNets). Towards this direction, we firstly focus on (i) the user and traffic differentiation, emerging from the MTC and IoT applications, and (ii) the RAN. Specifically, we perform appropriate modeling, performance analysis and optimization for a family of objectives, using tools mostly coming from (non) convex optimization, probability and queueing theory. Our initial consideration is on network-layer optimizations (e.g. studying the user association problem). Then, we analytically show that cross-layer optimization is key for the success of future HetNets, as one needs to jointly study other problems coming from the layers below (e.g. the TDD allocation problem from the MAC, or the cross-interference management from the PHY) to avoid performance degradation. Finally, we add the backhaul network into our framework, and consider additional constraints related to the backhaul capacity, backhaul topology, as well as the problem of backhaul TDD allocation
Almeida, Eduardo Nuno Moreira Soares de. "Topology control flying backhaul networks." Dissertação, 2015. https://repositorio-aberto.up.pt/handle/10216/90171.
Full textAlmeida, Eduardo Nuno Moreira Soares de. "Topology control flying backhaul networks." Master's thesis, 2015. https://repositorio-aberto.up.pt/handle/10216/90171.
Full textSong, Xiaohang. "Millimeter Wave Line-of-Sight Spatial Multiplexing: Antenna Topology and Signal Processing." Doctoral thesis, 2018. https://tud.qucosa.de/id/qucosa%3A33198.
Full textBook chapters on the topic "Backhaul topology"
Farsi, Abdelhak, Nadjib Achir, Khaled Boussetta, Gladys Diaz, and Arturo Gomez. "Backhaul Topology Design and Weighted Max-Min Fair Capacity Allocation in Wireless Mesh Networks." In Lecture Notes in Computer Science, 296–309. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38227-7_32.
Full textConference papers on the topic "Backhaul topology"
Li, Yongcheng, Guangyi Qiao, Anliang Cai, Lei Shi, Heming Zhao, and Gangxiang Shen. "Microwave backhaul topology planning for wireless access networks." In 2014 16th International Conference on Transparent Optical Networks (ICTON). IEEE, 2014. http://dx.doi.org/10.1109/icton.2014.6876516.
Full textLi, Yuan, Michal Pioro, and Vangelis Angelakisi. "Design of cellular backhaul topology using the FSO technology." In 2013 2nd International Workshop in Optical Wireless Communications. IEEE, 2013. http://dx.doi.org/10.1109/iwow.2013.6777766.
Full textGu, Zhiqun, Jiawei Zhang, and Yuefeng Ji. "Resilience Aware Topology Formation in FSO-based Fronthaul/Backhaul Networks." In 2018 Asia Communications and Photonics Conference (ACP). IEEE, 2018. http://dx.doi.org/10.1109/acp.2018.8596232.
Full textLi, Yuan, Nikolaos Pappas, Vangelis Angelakis, Michal Pioro, and Di Yuan. "Resilient topology design for free space optical cellular backhaul networking." In 2014 IEEE Globecom Workshops (GC Wkshps). IEEE, 2014. http://dx.doi.org/10.1109/glocomw.2014.7063479.
Full textCai, Anliang, Guangyi Qiao, Yongcheng Li, Lei Shi, and Gangxiang Shen. "Multi-Period Topology Planning for Microwave-Based Wireless Backhaul Networks." In Asia Communications and Photonics Conference. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/acpc.2014.aw3g.1.
Full textSolano, Alberto, Luis M. Contreras, Rafael Canto, and Jesus Folgueira. "Outdoor-Backhaul Network of Fixed Topology based on D-Band." In 2022 25th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN). IEEE, 2022. http://dx.doi.org/10.1109/icin53892.2022.9758128.
Full textGu, Zhiqun, Jiawei Zhang, and Yuefeng Ji. "Topology Optimization for FSO-Based Fronthaul/Backhaul in 5G+ Wireless Networks." In 2018 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2018. http://dx.doi.org/10.1109/iccw.2018.8403736.
Full textJung, Bo Kum, and Thomas Kurner. "Automatic Planning Algorithm of 300 GHz Backhaul Links Using Ring Topology." In 2021 15th European Conference on Antennas and Propagation (EuCAP). IEEE, 2021. http://dx.doi.org/10.23919/eucap51087.2021.9411010.
Full textKaleva, Jarkko, Meghana Bande, Antti Tolli, Markku Juntti, and Venugopal V. Veeravalli. "Sum rate maximizing joint processing with limited backhaul and tree topology constraints." In 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2016. http://dx.doi.org/10.1109/spawc.2016.7536889.
Full textKurner, Thomas, and Bo Kum Jung. "Automatic Planning of NLOS Backhaul Links at 300 GHz arranged in Star Topology." In 2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). IEEE, 2021. http://dx.doi.org/10.23919/ursigass51995.2021.9560305.
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