Academic literature on the topic 'Cross Link Interference (CLI)'
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Journal articles on the topic "Cross Link Interference (CLI)"
Lee, Ki-Hun, Gyudong Park, and Bang Chul Jung. "A QoS-Adaptive Interference Alignment Technique for In-Band Full-Duplex Multi-Antenna Cellular Networks." Sensors 22, no. 23 (December 2, 2022): 9417. http://dx.doi.org/10.3390/s22239417.
Full textPahl, Sebastian, Florian Adamsky, Daniel Kaiser, and Thomas Engel. "Examining the Hydra: Simultaneously Shared Links in Tor and the Effects on its Performance." Proceedings on Privacy Enhancing Technologies 2023, no. 3 (July 2023): 268–85. http://dx.doi.org/10.56553/popets-2023-0081.
Full textFESTMAN, JULIA. "Language control abilities of late bilinguals." Bilingualism: Language and Cognition 15, no. 3 (November 29, 2011): 580–93. http://dx.doi.org/10.1017/s1366728911000344.
Full textPedersen, Klaus, Ali Esswie, Du Lei, Johannes Harrebek, Youngsoo Yuk, Srinivasan Selvaganapathy, and Hakon Helmers. "Advancements in 5G New Radio TDD Cross Link Interference Mitigation." IEEE Wireless Communications 28, no. 4 (August 2021): 106–12. http://dx.doi.org/10.1109/mwc.001.2000376.
Full textChiu, Shang-Lun, Kate Ching-Ju Lin, Guang-Xun Lin, and Hung-Yu Wei. "Empowering Device-to-Device Networks with Cross-Link Interference Management." IEEE Transactions on Mobile Computing 16, no. 4 (April 1, 2017): 950–63. http://dx.doi.org/10.1109/tmc.2016.2582169.
Full textQin, Zhenquan, Yingxiao Sun, Junyu Hu, Wei Zhou, and Jialin Liu. "Enhancing Efficient Link Performance in ZigBee Under Cross-Technology Interference." Mobile Networks and Applications 25, no. 1 (January 2, 2019): 68–81. http://dx.doi.org/10.1007/s11036-018-1190-0.
Full textWu, Junhua, Dandan Lin, Guangshun Li, Yuncui Liu, and Yanmin Yin. "Distributed Link Scheduling Algorithm Based on Successive Interference Cancellation in MIMO Wireless Networks." Wireless Communications and Mobile Computing 2019 (June 19, 2019): 1–12. http://dx.doi.org/10.1155/2019/9083282.
Full textFrengen, J., B. Kierulf, R. Schmid, T. Lindmo, and K. Nustad. "Demonstration and minimization of serum interference in flow cytometric two-site immunoassays." Clinical Chemistry 40, no. 3 (March 1, 1994): 420–25. http://dx.doi.org/10.1093/clinchem/40.3.420.
Full textXu, Chuan, Qi Zhang, Liye Mei, Xiufeng Chang, Zhaoyi Ye, Junjian Wang, Lang Ye, and Wei Yang. "Cross-Attention-Guided Feature Alignment Network for Road Crack Detection." ISPRS International Journal of Geo-Information 12, no. 9 (September 19, 2023): 382. http://dx.doi.org/10.3390/ijgi12090382.
Full textKim, Hyejin, Jintae Kim, and Daesik Hong. "Dynamic TDD Systems for 5G and Beyond: A Survey of Cross-Link Interference Mitigation." IEEE Communications Surveys & Tutorials 22, no. 4 (2020): 2315–48. http://dx.doi.org/10.1109/comst.2020.3008765.
Full textDissertations / Theses on the topic "Cross Link Interference (CLI)"
Tibhirt, Amel. "Mitigation of Cross-link Interference for MIMO TDD Dynamic Systems in 5G+ Networks." Electronic Thesis or Diss., Sorbonne université, 2024. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2024SORUS017.pdf.
Full textDynamic Time Division Duplexing (DynTDD) is pivotal in 5th generation (5G) networks, adapting resources to diverse needs. It enhances Spectral Efficiency (SE) by dynamically allocating time slots for Uplink (UL) and Downlink (DL) transmissions based on traffic demand and channel conditions. This dynamic frequency allocation ensures efficient spectrum use and supports massive connectivity, low latency, and Quality-of-Service (QoS) requirements. Its role in carrier aggregation maximizes data rates and capacity, highlighting its importance in advanced wireless communication technologies.However, DynTDD faces a significant challenge: cross-link interference (CLI). CLI occurs when UL and DL transmissions share the same frequency bands, leading to interference.CLI comprises base station to base station (BS-to-BS) or downlink to uplink (DL-to-UL) interference and user equipment to user equipment (UE-to-UE) or uplink to downlink (UL-to-DL) interference. In DL-to-UL interference, DL transmissions spill into UL bands, degrading UL communication. Conversely, UL-to-DL interference occurs when UL transmissions interfere with DL reception.Effectively managing CLI is crucial for DynTDD's performance and reliability.This thesis aims to unleash the full potential of DynTDD by overcoming CLI challenges through rigorous analysis and innovative methodologies. The research not only advances DynTDD technology but also pioneers solutions applicable to various communication contexts, driving innovative interference alignment strategies across diverse scenarios.The study in this thesis is divided into multiple segments. The first part establishes the foundation with the problem definition and essential theoretical concepts. The second part delves into the conditions determining the feasibility of interference alignment. These conditions are expressed in terms of the problem dimension and establish the achievable Degree of Freedom (DoF), representing the number of data streams. It explores interference alignment in centralized scenarios, considering both full-rank and reduced-rank Multiple-Input Multiple-Output (MIMO) Interference Broadcast Multiple Access Channel-Interference Channel (IBMAC-IC), addressing real-world complexities. Additionally, it extends the exploration to a distributed scenario, providing a realistic understanding of communication complexities. The third part focuses on optimization techniques, specifically beamforming. It introduces Zero Forcing (ZF) beamforming for both DL and UL User Equipment (UE)s to align CLI in DynTDD systems. It emphasizes the impact of UE-to-UE interference and presents improvements brought by the Weighted Minimum Mean Square Error (WMMSE) algorithms. Furthermore, it explores power allocation optimization using the water-filling algorithm
Marvin, Alonso Rodríguez García, and Alvarez Enrique Manuel Achahue. "Aplicación de la tecnología XPIC como mejora de una red de transporte microondas existente en el Perú." Bachelor's thesis, Universidad Ricardo Palma, 2015. http://cybertesis.urp.edu.pe/handle/urp/1287.
Full textCatalán, Cid Miguel. "Contributions to the routing of traffic flows in multi-hop IEEE 802.11 wireless networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/386561.
Full textEl estándar IEEE 802.11 no fue diseñado inicialmente para soportar capacidades multi-salto. Debido a ello, proveer unas prestaciones adecuadas a los flujos de tráfico que atraviesan redes inalámbricas multi-salto IEEE 802.11 supone un reto significativo. La investigación desarrollada en esta tesis se ha centrado en la capa de encaminamiento con el objetivo de obtener soluciones aplicables y no dependientes de un hardware específico. Sin embargo, debido al gran impacto de fenómenos y parámetros relacionados con las capas físicas y de acceso al medio sobre las prestaciones de los tráficos de datos, se han adoptado soluciones de tipo cross-layer. Es por ello que las primeras tareas de la investigación, presentadas en los capítulos iniciales, se dedicaron al estudio y caracterización de estos fenómenos. La primera contribución principal de esta tesis se centra en mecanismos relacionados con la creación de las rutas. Primero, se introduce una mejora del protocolo AODV, que permite crear rutas y encaminar paquetes en base a los flujos de datos, en lugar de en base a los destinos como se da en el caso básico. Esto permite balacear la carga de la red y otorga un mayor control sobre los flujos activos y sus prestaciones, mejorando el rendimiento general de la red. Seguidamente, se presenta una métrica de encaminamiento sensible a la interferencia de la red y la calidad de los enlaces. Los resultados analizados, basados en la simulación de diferentes escenarios, demuestran que mejora significativamente las prestaciones de otras métricas del estado del arte. La segunda contribución está relacionada con el mantenimiento de las rutas activas. Generalmente, los mecanismos de mantenimiento se centran principalmente en la detección de enlaces rotos debido a la movilidad de los nodos o a la propagación inalámbrica. Sin embargo, otros fenómenos como la interferencia y congestión provocada por la llegada de nuevos flujos pueden degradar de forma significativa las prestaciones de los tráficos activos. En base a ello, se diseña un mecanismo de mantenimiento preventivo de rutas, que monitoriza las prestaciones de los flujos activos y permite su reencaminamiento en caso de detectar rutas degradadas. La evaluación de esta solución muestra una mejora significativa sobre el mantenimiento de rutas básico en escenarios congestionados, mientras que en escenarios con nodos móviles obtiene resultados similares o puntualmente mejores que otros mecanismos preventivos diseñados específicamente para casos con movilidad. Finalmente, el último capítulo de la tesis se centra en la asignación de canales en entornos multi-canal y multi-radio con el objetivo de minimizar la interferencia entre flujos activos. El reto principal en este campo es la dependencia circular que se da entre la asignación de canales y la creación de rutas: la asignación de canales determina los enlaces existentes la red y por ello las rutas que se podrán crear, pero son finalmente las rutas y los tráficos activos quienes determinan el nivel real de interferencia que se dará en la red. Es por ello que las soluciones que proponen unificar la asignación de canales y el encaminamiento de tráficos son generalmente complejas, centralizadas y basadas en patrones de tráfico, lo que limita su implementación en entornos reales. En cambio, en nuestro caso adoptamos una solución distribuida y con mayor aplicabilidad. Primero, se define un algoritmo de selección de canales dinámico basado en la interferencia de los flujos activos, que utiliza un canal común en todos los nodos para asegurar la conectividad de la red. A continuación, se introduce un mecanismo que unifica la asignación de canales con el mantenimiento preventivo de las rutas, permitiendo reasignar flujos degradados a otros canales disponibles en lugar de reencaminarlos completamente. Ambas soluciones demuestran ser beneficiosas en este tipo de entornos.
Nami, Alireza. "A new multilevel converter configuration for high power and high quality applications." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/33216/1/Alireza_Nami_Thesis.pdf.
Full textLU, CHIEN-HAO, and 呂建澔. "Beam-Coordination Based Cross Link Interference Mitigation for Flexible Duplexing Systems." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/552ac4.
Full text國立中正大學
通訊工程研究所
106
In the dynamic time-division duplexing system architecture, the base station can determine the direction of transmission according to the traffic of the downlink /uplink to improve the spectral efficiency. However, when the transmission directions between the base stations are different, cross link interference occurs. Cross link interference is divided into two types: interference of the downlink transmission base station to the uplink receiving base station and interference of the user of the uplink transmission to the user of the downlink reception. This paper aims to study the reduction of cross-link interference from base stations to base stations. There are many methods for mitigating interference across links, including power control, hybrid TDD, beam coordination, scheduling coordination. The paper studies the method of beam coordination. The research of this thesis studies the beam coordination on the ITRI system level simulation platform with UMA (urban macro) as the scene model. In the beam coordination, it is necessary to decide which TRP needs to coordinate with each other to mitigate cross link interference. Therefore, this paper proposes a method of TRP grouping and observes the system communication quality that can be improved when the maximum TRP number of different groups is improved. The better the effect of increasing the maximum TRP number of the group, but the trade-off between the complexity of the system beam coordination and the coordinated time delay. After grouping, the TRP in the group needs to be designed for beam coordination. This paper proposes two methods of beam coordination for beam coordination. First, use the beam-to-beam interference table established in advance to quickly select the beam to be used. Then, the proportional fair scheduling is used to select the users to be served from the selected wave numbers, and the time required for the proportional fair scheduling to select the users is reduced, so that the beam-coordinated beam selection is more efficient. The beam selected by the two methods has about 41% of the same beam, about 38% is the adjacent beam, and the method 1 is lower than the spectrum efficiency of the method 2 by about 2%, but the advantage of the first method is that time and complexity required to select a service to be served from the beam to be used can be significantly reduced. From the simulation results, it can be seen that beam coordination can effectively improve cross link interference. Using the TRP grouping method and beam coordination method of this paper, the signal interference noise ratio is improved by about 20dB. By replacing the anchor TRP in the group and observing the spectral efficiency of the TRP, it can be seen that the anchor TRP will have better spectral efficiency in the group, and the anchor TRP will be about 2 times better than the low priority TRP. Therefore, it is fairer for the TRP in the group to take turns as the anchor TRP.
WU, GUAN-LIN, and 吳冠霖. "System-Level Simulation for 3GPP 5G-NR Flexible Duplexing : Numerologies, Cross Link Interference and Initial Interference Screening." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/gs8uyv.
Full text國立中正大學
通訊工程研究所
106
3GPP, 3rd Generation Partnership Project, is an internationally recognized communication standards development organization. Since Rel-15, Release 15, has completed the technical research and standard specification for 5th Generation Mobile Communication New Radio, 5G-NR. In order to be able to participate in the performance indicators required by the international standard competition, the implementation of System Level Simulator, SLS, is necessary and important. For 3GPP 5G-NR, Flexible Duplex in particular is what this thesis mainly focuses. Therefore, this work cooperates with Industrial Technology Research Institute, ITRI, Information and Communications Research Laboratories and implements a 3GPP 5G-NR Flexible Duplex SLS on their original 4G-LTE SLS. The goal of 5G-NR Flexible Duplex is to have the most flexible spectrum resource usage in the NR frame architecture, increasing spectrum utilization. Furthermore, unpaired spectrum system, Time Division Duplex (TDD), in Flexible Duplex is also what this thesis mainly focuses. Although 5G-NR Flexible Duplex in TDD system could let all base stations choose their uplink and downlink directions flexibly to improve user packet throughput (UPT) and Resource Utilization (RU), the directions between adjacent base station or users may be different which will cause cross-link interference (CLI) seriously. The CLI will affect base station or users’ transmission quality seriously. Therefore, in addition to implementing 3GPP 5G-NR Numerology and slot format and TDD configuration, the most important thing is to implement cross-link interference calculation on the simulation platform. Finally, in order to reduce the simulation time of calculating a large number of interference channels to improve the simulation efficiency, a new method is proposed to accelerate the simulation time by using initial screening interference channels. At last, the 3GPP 5G-NR Flexible Duplex SLS implemented in this thesis could enable users who use this platform to observe new communication technologies in wireless network systems effectively, including average transmission data rate of the base stations, traffic impact, user packet throughput, latency, fairness with large number of base stations interacting with a large number of user equipment. Key words: 5G NR, Flexible Duplex, TDD configuration, Cross-link interference, Accelerate the simulation platform, System Level Simulator
Book chapters on the topic "Cross Link Interference (CLI)"
Sun, Yingxiao, Zhenquan Qin, Junyu Hu, Lei Wang, Jiaxin Du, and Yan Ren. "Enabling ZigBee Link Performance Robust Under Cross-Technology Interference." In Wireless Algorithms, Systems, and Applications, 450–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94268-1_37.
Full textLiu, Yunfeng, Chengcheng Han, Shaozhong Lu, Zhiheng Guo, and Hao Chen. "Cross-link Interference Handling of 5G with Subband Non-overlapping Full Duplex." In Proceedings of Eighth International Congress on Information and Communication Technology, 343–57. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3043-2_27.
Full textConference papers on the topic "Cross Link Interference (CLI)"
Takei, Satoshi, Yusuke Horiguchi, Tetsuya Shinjo, and Yasuyuki Nakajima. "Novel UV Cross-Link Coating Materials for Advanced Planarization Technology on Substrates." In Optical Interference Coatings. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/oic.2007.md9.
Full textKim, Hyejin, Kwonjong Lee, Hano Wang, and Daesik Hong. "Cross Link Interference Mitigation Schemes in Dynamic TDD Systems." In 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE, 2019. http://dx.doi.org/10.1109/vtcfall.2019.8891402.
Full textEsswie, Ali A., and Klaus I. Pedersen. "Cross-Link Interference Suppression By Orthogonal Projector For 5G Dynamic TDD URLLC Systems." In 2020 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2020. http://dx.doi.org/10.1109/wcnc45663.2020.9120855.
Full textLee, Jae Won, Chung G. Kang, and Min Joong Rim. "SINR-ordered cross link interference control scheme for dynamic TDD in 5G system." In 2018 International Conference on Information Networking (ICOIN). IEEE, 2018. http://dx.doi.org/10.1109/icoin.2018.8343141.
Full textAdeladan, Oluwatosin A., and John M. Shea. "Link-Layer Throughput of FHSS with Interference Mitigation: Analysis and Cross Layer Design." In 2014 IEEE Military Communications Conference (MILCOM). IEEE, 2014. http://dx.doi.org/10.1109/milcom.2014.154.
Full textGuo, Zhiheng, and Yongqiang Fei. "On the Cross Link Interference of 5G with Flexible Duplex and Full Duplex." In 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). IEEE, 2020. http://dx.doi.org/10.1109/wcncw48565.2020.9124866.
Full textAliaga, Sergi, Vitaly Petrov, and Josep M. Jornet. "Cross-Link Interference Modeling in 6G Millimeter Wave and Terahertz LEO Satellite Communications." In ICC 2023 - IEEE International Conference on Communications. IEEE, 2023. http://dx.doi.org/10.1109/icc45041.2023.10278829.
Full textHuo, Zhibin, Nan Ma, and Baoling Liu. "Joint user scheduling and transceiver design for cross-link interference suppression in MU-MIMO dynamic TDD systems." In 2017 3rd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2017. http://dx.doi.org/10.1109/compcomm.2017.8322686.
Full textWang, Wei, Chong Liu, Caipeng Yue, Hui Sun, Yanlong Yu, and Sheng Li. "The experimental study of transmission characteristics of the PD and interference signals in the cross-bonding link-system." In 2010 IEEE International Symposium on Electrical Insulation (ISEI). IEEE, 2010. http://dx.doi.org/10.1109/elinsl.2010.5549808.
Full textBnyamin, Mario V., Xin Jiang, and Mark D. Feuer. "Independent Component Analysis Equalizer for Direct Detection in Presence of Modal and Temporal Crosstalk." In Signal Processing in Photonic Communications. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/sppcom.2022.spth1i.5.
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