Relevant bibliographies by topics / User scheduling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'User scheduling'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "User scheduling"

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Hang, Juan, and Feng She. "User Scheduling in Multi-User MIMO Systems with Buffer Counting." Advanced Materials Research 461 (February 2012): 62–66. http://dx.doi.org/10.4028/www.scientific.net/amr.461.62.

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This paper studies the user scheduling in MIMO systems with queue control. We assume the data packets are buffered at the transmitter. By modeling the channel as a queuing system, the property of queue control is analyzed. Then, user scheduling algorithm with consideration of queue state and channel state together is also investigated. Simulation results show that queue control can achieve fairness and keep stability among users
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Snyder, R. L. "DESIGNING USER-FRIENDLY IRRIGATION SCHEDULING SOFTWARE." Acta Horticulturae, no. 278 (June 1990): 673–80. http://dx.doi.org/10.17660/actahortic.1990.278.65.

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Pecora, Federico, Riccardo Rasconi, Gabriella Cortellessa, and Amedeo Cesta. "User-oriented problem abstractions in scheduling." Innovations in Systems and Software Engineering 2, no. 1 (2006): 1–16. http://dx.doi.org/10.1007/s11334-006-0022-8.

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SOHN, Illsoo, Joonil CHOI, Byong OK LEE, and Kwang-Bok LEE. "Unitary Beamforming Multi-User MIMO System with Efficient User Scheduling Algorithm." IEICE Transactions on Communications E93-B, no. 7 (2010): 1965–68. http://dx.doi.org/10.1587/transcom.e93.b.1965.

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Park, Jonggyu, and Young Ik Eom. "URS: User-Based Resource Scheduling for Multi-User Surface Computing Systems." IEEE Transactions on Consumer Electronics 65, no. 3 (2019): 426–33. http://dx.doi.org/10.1109/tce.2019.2924480.

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Ni, Jun Hong, Yi Zhou, Zhen Dong Zhao, Peng Peng, and Rui Ju Xiao. "Scheduling Algorithm for High-Mobility User in LTE Downlink System." Applied Mechanics and Materials 644-650 (September 2014): 2143–46. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2143.

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Frequency diversity scheduling allocates whole system bandwidth to a user in order to conquer deep fading of the sub-band when user with high-mobility. Though OFDMA technology mitigates interference of users in same cell, it increases interference of cell edge user as base stations use same frequency. Thus, we developed a frequency diversity fairness scheduling algorithm to balance fairness of cell center user and cell edge user. It is demonstrated by computer simulation that the proposed algorithm increases user fairness of the system with same system throughput and fairness between cell edge
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Gao, Hui, Chau Yuen, Yuan Ren, Tiejun Lv, and Wei Long. "Distributed User Scheduling for MIMO-Y Channel." IEEE Transactions on Wireless Communications 14, no. 12 (2015): 7123–39. http://dx.doi.org/10.1109/twc.2015.2464806.

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Chen, Xiang, Feng-Kui Gong, Hang Zhang, and Guo Li. "Cooperative User Scheduling in Massive MIMO Systems." IEEE Access 6 (2018): 21910–23. http://dx.doi.org/10.1109/access.2018.2828403.

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Narbutt, M., A. Kelly, L. Murphy, and P. Perry. "Adaptive VoIP Playout Scheduling: Assessing User Satisfaction." IEEE Internet Computing 9, no. 4 (2005): 28–34. http://dx.doi.org/10.1109/mic.2005.72.

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Hang, Juan, and Feng She. "Vector Quantization Multi-User Scheduling in Broadcast Channel." Advanced Materials Research 461 (February 2012): 53–57. http://dx.doi.org/10.4028/www.scientific.net/amr.461.53.

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This paper deals with the research on user scheduling algorithm in downlink MIMO systems with limited feedback of channel state information (CSI). In this paper, we use vector quantization to simplify the procedure of user selection. By quantizing MIMO channel into several un-overlapped channel regions, we can get semi-orthogonal region sets with predefined threshold. Then, based on the semi-orthogonal region sets, we present a low complexity user scheduling algorithm. Simulation results show that the achieved sum rate by the presented algorithm can achieve nearly optimal sum rate while with m
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Dissertations / Theses on the topic "User scheduling"

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Glim, Carl. "MULTI-USER SATELLITE TRACKING NETWORK SCHEDULING." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609211.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California<br>The recent proliferation of Low Earth Orbiting (LEO) science, earth resources, and global communication satellites requires a significant number of ground stations for support. A network of satellite tracking ground stations with the ability to support multiple users and communicate with multiple satellites requires a robust scheduling and conflict resolution system. This paper describes an automated scheduling implementation for managing such a
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Aguiar, Ana Cristina Costa. "Multi-user multi-flow packet scheduling for wireless channels." Berlin dissertation.de, 2008. http://d-nb.info/991850505/04.

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Zarakovitis, Charilaos C. "Convex optimization-based resource scheduling for multi-user wireless systems." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/11068.

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Sabin, Gerald M. "Unfairness in parallel job scheduling." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1164826017.

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Walz, Jennifer Ann. "The Facilities Automated Scheduling Tool (FAST)." Thesis, Virginia Tech, 1992. http://hdl.handle.net/10919/41495.

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A systems engineering life-cycle approach is used to design the Facilities Automated Scheduling Tool (FAST) for the Facilities Branch of the ABC Company. The emphasis of the proposed design is the human factors criteria that are used to optimize the human-computer interface (HCI). The need identified by the Facilities Branch is that the current manual project tracking system takes three weeks to gather the information required to initiate a request for change (RFC). Paperwork is cumbersome, data files are difficult to locate, and the Facilities Specialists are inundated with fragmented repor
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Varisteas, Georgios. "Cooperative user- and system-level scheduling of task-centric parallel programs." Licentiate thesis, KTH, Programvaruteknik och Datorsystem, SCS, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-127708.

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Emerging architecture designs include tens of processing cores on a single chip die; it is believed that the number of cores will reach the hundreds in not so many years from now. However, most common workloads cannot expose fluctuating parallelism, insufficient to utilize such systems. The combination of these issues suggests that large-scale systems will be either multiprogrammed or have their unneeded resources powered off. To achieve these features, workloads must be able to provide a metric on their parallelism which the system can use to dynamically adapt per-application resource allotme
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Wu, Xuqing. "DSS user interface design method with application to shop floor scheduling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq47118.pdf.

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Yoo, Taesang. "Sum-capacity, scheduling, and multi-user diversity in MIMO broadcast systems /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Costa, Neto Francisco Hugo. "Utility-based scheduling algorithms to enhance user satisfaction in OFDMA systems." reponame:Repositório Institucional da UFC, 2016. http://www.repositorio.ufc.br/handle/riufc/18312.

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COSTA NETO, F. H. Utility-based scheduling algorithms to enhance user satisfaction in OFDMA systems. 2016. 71 f. Dissertação (Mestrado em Engenharia de Teleinformática) – Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2016.<br>Submitted by Hohana Sanders (hohanasanders@hotmail.com) on 2016-06-23T16:17:57Z No. of bitstreams: 1 2016_dis_fhcostaneto.pdf: 4893771 bytes, checksum: 412cfc73d8a447879c3e130098cc3786 (MD5)<br>Approved for entry into archive by Marlene Sousa (mmarlene@ufc.br) on 2016-07-14T13:20:27Z (GMT) No. of bitstreams: 1 2016_dis_fhcostaneto.pdf: 4893771 bytes, che
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Pinheiro, Vinicius Gama. "The management of multiple submissions in parallel systems: the fair scheduling approach." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-31102016-100453/.

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La communauté de Calcul Haute Performance est constamment confrontée à de nouveaux défis en raison de la demande toujours croissante de la puissance de traitement provenant dapplications scientifiques diverses. Les systèmes parallèles et distribués sont la clé pour accélérer lexécution de ces applications, et atteindre les défis associés car de nombreux processus peuvent être exécutés simultanément. Ces systèmes sont partagés par de nombreux utilisateurs qui soumettent des tâches sur de longues périodes au fil du temps et qui attendent un traitement équitable par lordonnanceur. Le travail effe
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Books on the topic "User scheduling"

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1956-, Dumas Denise E., and Saravanan Saro, eds. Open VMS alpha internals and data structures: Scheduling and process control. Digital Press, 1997.

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Kamaruddin, Shahrul. Knowledge based information system used in real time scheduling. University of Birmingham, 2003.

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Bean, Deborah. Learn act!: 4.0 for advanced users. Wordware Publishing, 1998.

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Colominas, Cristina. On-line surgery: A tool for monitoring and scheduling appointments between users from different groups. Oxford Brookes University, 2001.

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Software estimation best practices, tools, & techniques: A complete guide for software project estimators. J. Ross Pub., 2009.

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Learn Act! 2000 for the Advanced User. Wordware Publishing, 2000.

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Saravanan, Saro, Ruth Goldenberg, and Denise Dumas. Open VMS Alpha Internals and Data Structures : Scheduling and Process Control : Version 7.0 (HP Technologies). Digital Press, 1996.

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Hausman, Laurence M. Office-Based Anesthesia. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190495756.003.0026.

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An anesthetic performed in a surgical or medical office, as opposed to a standard operating room within a hospital or ambulatory surgery center, is known as an office-based anesthetic. This venue for surgery and anesthesia has been widely utilized for past several decades. The practitioner generally has improved ease in scheduling of cases and convenience of performing surgery within the same office as preoperative and postoperative care; sometimes, the proceduralist will receive an enhanced professional fee from insurance companies. Surgery in an office has become increasingly overseen by bot
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Efficiency block technology. U.S. Dept. of the Interior, Bureau of Reclamation, Denver Office, 1994.

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Book chapters on the topic "User scheduling"

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Tsafrir, Dan, Yoav Etsion, and Dror G. Feitelson. "Modeling User Runtime Estimates." In Job Scheduling Strategies for Parallel Processing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11605300_1.

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Yoshimoto, Kenneth, Patricia Kovatch, and Phil Andrews. "Co-scheduling with User-Settable Reservations." In Job Scheduling Strategies for Parallel Processing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11605300_7.

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Bailey Lee, Cynthia, Yael Schwartzman, Jennifer Hardy, and Allan Snavely. "Are User Runtime Estimates Inherently Inaccurate?" In Job Scheduling Strategies for Parallel Processing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11407522_14.

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Toufik, Issam, and Raymond Knopp. "Multi-User Scheduling and Interference Coordination." In LTE - The UMTS Long Term Evolution. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470978504.ch12.

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Barbosa, Jorge, and António P. Monteiro. "A List Scheduling Algorithm for Scheduling Multi-user Jobs on Clusters." In High Performance Computing for Computational Science - VECPAR 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92859-1_13.

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Zakay, Netanel, and Dror G. Feitelson. "On Identifying User Session Boundaries in Parallel Workload Logs." In Job Scheduling Strategies for Parallel Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35867-8_12.

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Oh, Jean, and Stephen F. Smith. "Learning User Preferences in Distributed Calendar Scheduling." In Practice and Theory of Automated Timetabling V. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11593577_1.

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Tóth, Šimon, and Dalibor Klusáček. "User-Aware Metrics for Measuring Quality of Parallel Job Schedules." In Job Scheduling Strategies for Parallel Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15789-4_6.

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Lafreniere, Benjamin J., and Angela C. Sodan. "ScoPred–Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data." In Job Scheduling Strategies for Parallel Processing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11605300_3.

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Piairo, Jesus, Ana Madureira, João Paulo Pereira, and Ivo Pereira. "A User-Centered Interface for Scheduling Problem Definition." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36981-0_101.

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Conference papers on the topic "User scheduling"

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Carroll, Thomas E., and Daniel Grosu. "Selfish Multi-User Task Scheduling." In 2006 5th International Symposium on Parallel and Distributed Computing. IEEE, 2006. http://dx.doi.org/10.1109/ispdc.2006.44.

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Yang, Hong. "User Scheduling in Massive MIMO." In 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2018. http://dx.doi.org/10.1109/spawc.2018.8445907.

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Bapat, Tanuja, Neha Sengupta, Sunil Kumar Ghai, Vijay Arya, Yedendra Babu Shrinivasan, and Deva Seetharam. "User-sensitive scheduling of home appliances." In the 2nd ACM SIGCOMM workshop. ACM Press, 2011. http://dx.doi.org/10.1145/2018536.2018546.

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Medeiros Duarte, Rodrigo, Andre Rauber Du Bois, Gerson Geraldo Homrich Cavalheiro, and Mauricio Lima Pilla. "User-Level Transaction Scheduling in Haskell." In 2018 Symposium on High Performance Computing Systems (WSCAD). IEEE, 2018. http://dx.doi.org/10.1109/wscad.2018.00015.

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Mennerich, Wolfgang, and Wolfgang Zirwas. "User centric scheduling in cooperative networks." In 2010 IEEE Middle East Conference on Antennas and Propagation (MECAP). IEEE, 2010. http://dx.doi.org/10.1109/mecap.2010.5724192.

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Petrov, Daniel, Rakan Alseghayer, Daniel Mosse, and Panos K. Chrysanthis. "Data-Driven User-Aware HVAC Scheduling." In 2018 Ninth International Green and Sustainable Computing Conference (IGSC). IEEE, 2018. http://dx.doi.org/10.1109/igcc.2018.8752161.

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Ma, Chixiang, Rongkuan Liu, Shuri Liao, et al. "User Cooperation Scheduling in Cellular Systems." In 2020 IEEE Globecom Workshops (GC Wkshps). IEEE, 2020. http://dx.doi.org/10.1109/gcwkshps50303.2020.9367530.

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Kirn, Hwan, Jonggyu Park, and Young Ik Eom. "User-based resource scheduling for multi-user surface computing systems." In 2018 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2018. http://dx.doi.org/10.1109/icce.2018.8326250.

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Cao, Hailang, Ping Wang, Lei Chen, et al. "User Satisfaction Based ZFBF Scheduling Algorithm in Multi-user MIMO System." In 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2012. http://dx.doi.org/10.1109/trustcom.2012.293.

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Meng Wang, Feng Li, and Jamie S. Evans. "Modified semi-orthogonal User Scheduling scheme with optimized user selection parameter." In 2013 Australian Communications Theory Workshop (AusCTW 2013). IEEE, 2013. http://dx.doi.org/10.1109/ausctw.2013.6510054.

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Reports on the topic "User scheduling"

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Lifka, D. A., M. W. Henderson, and K. Rayl. Users guide to the Argonne SP scheduling system. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/79727.

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Harrer, B. J., and A. J. Lezberg. Potential conservation opportunities from the use of improved irrigation scheduling in the Pacific Northwest region. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/5912837.

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Desai, Jairaj, Jijo K. Mathew, Woosung Kim, et al. Dashboards for Real-time Monitoring of Winter Operations Activities and After-action Assessment. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317252.

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The Indiana Department of Transportation (INDOT) operates a fleet of nearly 1100 snowplows and spends up to $60M annually on snow removal and de-icing as part of their winter operation maintenance activities. Systematically allocating resources and optimizing material application rates can potentially save revenue that can be reallocated for other roadway maintenance operations. Modern snowplows are beginning to be equipped with a variety of Mobile Road Weather Information Sensors (MARWIS) which can provide a host of analytical data characterizing on-the-ground conditions during periods of win
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Amela, R., R. Badia, S. Böhm, R. Tosi, C. Soriano, and R. Rossi. D4.2 Profiling report of the partner’s tools, complete with performance suggestions. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.023.

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This deliverable focuses on the proling activities developed in the project with the partner's applications. To perform this proling activities, a couple of benchmarks were dened in collaboration with WP5. The rst benchmark is an embarrassingly parallel benchmark that performs a read and then multiple writes of the same object, with the objective of stressing the memory and storage systems and evaluate the overhead when these reads and writes are performed in parallel. A second benchmark is dened based on the Continuation Multi Level Monte Carlo (C-MLMC) algorithm. While this algorithm is norm
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