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Artykuły w czasopismach na temat "MIMO multi users"
Sheu, Jeng-Shin, i Kuan-Ming Huang. "Performance Comparison for Single-User and Multi-User Network MIMO Cellular Systems with Power Management". Applied Sciences 11, nr 21 (2.11.2021): 10298. http://dx.doi.org/10.3390/app112110298.
Pełny tekst źródłaZhong, Shida, Haogang Feng, Peichang Zhang, Jiajun Xu, Lei Huang, Tao Yuan i Yongkai Huo. "User Oriented Transmit Antenna Selection in Massive Multi-User MIMO SDR Systems". Sensors 20, nr 17 (28.08.2020): 4867. http://dx.doi.org/10.3390/s20174867.
Pełny tekst źródłaNaeem, Muddasar, Antonio Coronato, Zaib Ullah, Sajid Bashir i Giovanni Paragliola. "Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning". Sensors 22, nr 21 (28.10.2022): 8278. http://dx.doi.org/10.3390/s22218278.
Pełny tekst źródłaHandayani, Puji, i Beny Burhanusshomad. "Kinerja Multi-user MIMO OFDM dengan Block-Diagonalization Precoding". Jurnal JEETech 4, nr 1 (6.02.2023): 15–19. http://dx.doi.org/10.32492/jeetech.v4i1.4103.
Pełny tekst źródłaRaviv, Li-on, i Amir Leshem. "Scheduling for Multi-User Multi-Input Multi-Output Wireless Networks with Priorities and Deadlines". Future Internet 11, nr 8 (5.08.2019): 172. http://dx.doi.org/10.3390/fi11080172.
Pełny tekst źródłaVijayaLakshmi, Dr M., i C. Anisha. "Massive MIMO-OFDM Transmission Without Cellular Networks Using Frequency - Selective Fading Channels". International Journal for Research in Applied Science and Engineering Technology 11, nr 10 (31.10.2023): 1410–17. http://dx.doi.org/10.22214/ijraset.2023.56225.
Pełny tekst źródłaDai, Jian Xin, Jun Zhou, Jie Qi, Ming Chen, Tao Yuan i Jun Zhao. "Optimal Power Analysis of Downlink Multi-User SA-MIMO Systems Use". Applied Mechanics and Materials 614 (wrzesień 2014): 530–34. http://dx.doi.org/10.4028/www.scientific.net/amm.614.530.
Pełny tekst źródłaZhu, Mengyu, Shaoshuai Gao, Guofang Tu i Deyuan Chen. "Multi-Access Edge Computing (MEC) Based on MIMO: A Survey". Sensors 23, nr 8 (11.04.2023): 3883. http://dx.doi.org/10.3390/s23083883.
Pełny tekst źródłaFang, Tianhao, Yangyang Gao, Chaoju Suo, Gangle Sun, Pengyu Chen, Wei Xiao i Wenjin Wang. "A Multi-Beam XL-MIMO Testbed Based on Hybrid CPU-FPGA Architecture". Electronics 12, nr 2 (11.01.2023): 380. http://dx.doi.org/10.3390/electronics12020380.
Pełny tekst źródłaStankovic, Veljko. "Iterative successive MMSE multi-user MIMO transmit filtering". Facta universitatis - series: Electronics and Energetics 20, nr 1 (2007): 45–55. http://dx.doi.org/10.2298/fuee0701045s.
Pełny tekst źródłaRozprawy doktorskie na temat "MIMO multi users"
Ghamnia, Imène. "Rate balancing methods for multi-user MIMO systems with perfect or partial CSIT". Electronic Thesis or Diss., Sorbonne université, 2021. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2021SORUS234.pdf.
Pełny tekst źródłaWith the rise in smartphone usage, the system models have rapidly evolved to meet ever-growing needs for capacity in wireless networks. Indeed, there have been large advances in technology, from single-user single-antenna point-to-point communications to multi-cell multi-antenna cellular networks. In fact, multiple-input multiple-output (MIMO) technology for wireless communications is now incorporated into wireless broadband standards since 3G. Adding multiple antennas at both the transmitter and the receiver sides enables spatial multiplexing (i.e. sending multiple data streams simultaneously), which allows to increase data rates, and spatial diversity exploitation, which allows to greatly improve link quality. The multi-user MIMO downlink (so-called Broadcast Channel (BC)) has been a well investigated subject in wireless communications because of the high potential it offers in improving the system throughput. Therefore, different design criteria for multi-user MIMO communication have been investigated in the literature. Most of the downlink designs consider optimization problems w.r.t. the sum-capacity of all users. On the other hand, the major bottleneck of modern wireless communication is the interference (intracell and intercell) due to frequency reuse. Thus, in a multi-user MIMO scenario, when optimizing the overall efficiency, the power allocation is focused on the good channels, i.e., users that are subject to strong interference (e.g. cell-edge users) are neglected. The result is an unfair distribution of rate among users. In order to avoid this effect, different fairness notions have been introduced, like max-min fairness, weighted fairness, or proportional fairness. In this thesis, we focus on the weighted max-min fairness. In particular, we study the (weighted) user rate balancing problem in a multi-cell multi-user MIMO system. We address this problem by joint beamforming and power allocation optimization, aiming to satisfy the fairness requirements. In the first part, we consider perfect knowledge of the channel to solve the problem. Therein, we maximize the minimum (weighted) rate via i) weighted user Mean Square Error (MSE) uplink/downlink duality and ii) Lagrangian duality. In the second part, we consider partial knowledge of the channel. We optimize the ergodic rate balancing problem via i) weighted expected MSE by exploiting the rate – MSE relation, and ii) two approximations of the expected rate as the Expected Signal and Interference Power (ESIP) rate at the stream level and the received signal level. Furthermore, we study the transmit power minimization problem with fixed user-rate targets and provide a strategy exploiting the proposed rate balancing approaches
Choi, Lai U. "Multi-user MISO and MIMO transmit signal processing for wireless communication /". View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20CHOI.
Pełny tekst źródłaIncludes bibliographical references (leaves 167-170). Also available in electronic version. Access restricted to campus users.
Stanković, Veljko. "Multi-user MIMO wireless communications". [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985258039.
Pełny tekst źródłaWei, Chun-Yi. "Iterative downlink multi-user MIMO systems". Thesis, University of Southampton, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485522.
Pełny tekst źródłaWang, Cheng. "Adaptive downlink multi-user MIMO wireless systems /". View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECED%202007%20WANG.
Pełny tekst źródłaKeskin, Faruk. "Precoding for MIMO multi-user mobile radio downlinks". [Kaiserslautern] : [Universitätsbibliothek], 2007. http://d-nb.info/989961354/34.
Pełny tekst źródłaAnderson, Adam L. "Correlation-based beamforming for multi-user MIMO channels". Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3331446.
Pełny tekst źródłaTitle from first page of PDF file (viewed December 16, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 144-151).
Patcharamaneepakorn, Piya. "Precoding designs for multi-user MIMO and multi-cell cooperative systems". Thesis, University of Bristol, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.649371.
Pełny tekst źródłaTervo, O. (Oskari). "Effective channel state acquisition in multi-cell multi-user MIMO system". Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201306011414.
Pełny tekst źródłaSolukkoverkossa, jossa solujen koot ovat pieniä ja kaikki käyttävät samoja taajuuksia, solujen välinen häiriö rajoittaa verkon suorituskykyä. Viime aikoina on laajasti tutkittu strategioita, joilla häiriötä saataisiin vähennettyä. Yksi lupaavista menetelmistä tähän tarkoitukseen on koordinoitu keilanmuodostus/skedulointi, jossa tietty ryhmä soluja voi koordinoida keskenään ja näin ottaa huomioon lähetyksestä aiheutuvan häiriön toisia soluja kohtaan. Tässä diplomityössä tutkitaan erilaisten painotetun summadatanopeuden maksimoivien signalointistrategioiden suorituskykyä aikajakodupleksoidussa usean solun ja käyttäjän moniantenniverkossa, jossa dataa lähetetään tukiasemasta käyttäjille. Strategiat perustuvat iteratiivisiin hajautettuihin algoritmeihin, joiden tarkoituksena on vähentää opetussignaloinnista aiheutuvaa kuormitusta ja nopeuttaa suppenemista. Kontrolli-informaation signaloimiseen verkossa käytetään käyttäjiltä tukiasemille lähetettäviä opetussignaaleja ja taustayhteyttä tukiasemien välillä. Työ perustuu aiemmin tehtyyn tutkimukseen, josta strategiat on nyt laajenettu suurempaan solukkojärjestelmään, ottaen huomioon myös taajuusselektiivisyyden ja kanavainformaation epävarmuuden vaikutukset. Simulointitulosten perusteella voidaan sanoa, että strategiat toimivat usean käyttäjän ja solun verkossa. Tuloksista nähdään, että rinnakaisia solukohtaisia iteraatioita hyödyntävillä strategioilla voidaan saavuttaa käytännöllinen suppenemisnopeus, vaikka solujen välinen häiriö on voimakasta. Taajuusselektiivisen kanavan tuloksista huomataan, että yhteisoptimointi usean taajuuslohkon yli parantaa vähän suorituskykyä verrattuna yhden taajuuden tapaukseen. Yhteisoptimointia voitaisiin siis myös hyödyntää, koska laskennallinen monimutkaisuus on samaa suuruusluokkaa verrattuna yhden taajuuden tilanteeseen. Epävarman kanavatiedon vaikutusta tutkitaan keskitetyllä optimointimenetelmällä, joka selvästi laskee suorituskykyä verrattuna täydellisen kanavan tapaukseen, mutta antaa kuitenkin selkeän parannuksen alkuperäiseen algoritmiin verrattuna. Koska opetussignaalien teho jaetaan käyttäjien kesken, tulokset näyttävät kompromissin kanavatiedon epävarmuuden ja monikäyttäjädiversiteetin välillä
Chen, Chiang-Yu. "Optimized resource allocation for MIMO multi-carrier multi-user communication systems /". May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Pełny tekst źródłaKsiążki na temat "MIMO multi users"
Ben Zid, Maha, red. Recent Trends in Multi-user MIMO Communications. InTech, 2013. http://dx.doi.org/10.5772/3306.
Pełny tekst źródłaMIMO Wireless Networks: Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems. Elsevier Science & Technology Books, 2013.
Znajdź pełny tekst źródłaOestges, Claude, i Bruno Clerckx. MIMO Wireless Networks: Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems. Elsevier Science & Technology Books, 2013.
Znajdź pełny tekst źródłaHo, Lok Pan. MIMO multi-user precoding with and without channel estimation errors. 2007, 2007.
Znajdź pełny tekst źródłaCzęści książek na temat "MIMO multi users"
Tufvesson, Fredrik, Katsuyuki Haneda i Veli-Matti Kolmonen. "Multi-User MIMO Channels". W LTE-Advanced and Next Generation Wireless Networks, 187–213. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118410998.ch7.
Pełny tekst źródłaRupp, Markus, Stefan Schwarz i Martin Taranetz. "Advanced Multi User MIMO Concepts". W The Vienna LTE-Advanced Simulators, 143–76. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0617-3_7.
Pełny tekst źródłaSanguinetti, Luca, i H. Vincent Poor. "Fundamentals of Multi-User MIMO Communications". W New Directions in Wireless Communications Research, 139–73. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0673-1_6.
Pełny tekst źródłaPrasad, Ramjee, Suvra Sekhar Das i Muhammad Imadur Rahman. "MIMO Precoding in Multi-User Scenarios". W Adaptive PHY-MAC Design for Broadband Wireless Systems, 307–19. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003336969-11.
Pełny tekst źródłaSpeidel, Joachim. "Principles of Multi-user MIMO Transmission". W Signals and Communication Technology, 269–91. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00548-1_24.
Pełny tekst źródłaSpeidel, Joachim. "Principles of Multi-user MIMO Transmission". W Signals and Communication Technology, 305–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_20.
Pełny tekst źródłaMielczarek, B., i W. A. Krzymien. "Throughput of Heterogeneous Multi-Cell Multi-User MIMO-OFDM Systems". W Multi-Carrier Spread-Spectrum, 127–36. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4437-2_13.
Pełny tekst źródłaZhang, Chenxin, Liang Liu i Viktor Öwall. "Future Multi-User MIMO Systems: A Discussion". W Heterogeneous Reconfigurable Processors for Real-Time Baseband Processing, 155–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24004-6_7.
Pełny tekst źródłaBilenne, Olivier, Panayotis Mertikopoulos i E. Veronica Belmega. "Derivative-Free Optimization over Multi-user MIMO Networks". W Network Games, Control and Optimization, 17–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87473-5_3.
Pełny tekst źródłaYuan, Weijie, Nan Wu i Jingming Kuang. "Downlink Multi-user Detection for MIMO-SCMA System". W Receiver Design for High Spectral Efficiency Communication Systems in Beyond 5G, 29–57. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8090-9_3.
Pełny tekst źródłaStreszczenia konferencji na temat "MIMO multi users"
Bandemer, Bernd, Martin Haardt i Samuli Visuri. "Linear MMSE Multi-User MIMO Downlink Precoding for Users with Multiple Antennas". W 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2006. http://dx.doi.org/10.1109/pimrc.2006.254439.
Pełny tekst źródłaLi, Xueru, Emil Bjornson, Shidong Zhou i Jing Wang. "Massive MIMO with multi-antenna users: When are additional user antennas beneficial?" W 2016 23rd International Conference on Telecommunications (ICT). IEEE, 2016. http://dx.doi.org/10.1109/ict.2016.7500452.
Pełny tekst źródłaMai, Trang C., Hien Quoc Ngo i Trung Q. Duong. "CELL-FREE MASSIVE MIMO SYSTEMS WITH MULTI-ANTENNA USERS". W 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2018. http://dx.doi.org/10.1109/globalsip.2018.8646330.
Pełny tekst źródłaFlordelis, Jose, Xiang Gao, Ghassan Dahman, Fredrik Rusek, Ove Edfors i Fredrik Tufvesson. "Spatial separation of closely-spaced users in measured massive multi-user MIMO channels". W 2015 IEEE International Conference on Signal Processing for Communications (ICC). IEEE, 2015. http://dx.doi.org/10.1109/icc.2015.7248526.
Pełny tekst źródłaJie Liu i Qiang Gao. "User pairing and resource allocation for multi-antenna users in uplink multiuser MIMO system". W 2015 10th International Conference on Communications and Networking in China (ChinaCom). IEEE, 2015. http://dx.doi.org/10.1109/chinacom.2015.7497940.
Pełny tekst źródłaDovelos, Konstantinos, Michail Matthaiou, Hien Quoc Ngo i Boris Bellalta. "Massive MIMO with Multi-Antenna Users under Jointly Correlated Ricean Fading". W ICC 2020 - 2020 IEEE International Conference on Communications (ICC). IEEE, 2020. http://dx.doi.org/10.1109/icc40277.2020.9148706.
Pełny tekst źródłaTaygur, Mehmet Mert, i Thomas F. Eibert. "Investigations on Massive MIMO Performance with Multi-Antenna Users by Ray-Tracing". W 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2019. http://dx.doi.org/10.1109/pimrc.2019.8904315.
Pełny tekst źródłaDandan Fan, Liang Jin i Jing Wang. "A decorrelation technology based on eigen-beamforming in multi-users MIMO systems". W IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20061357.
Pełny tekst źródłaMai, Trang C., Hien Quoc Ngo i Trung Q. Duong. "Uplink Spectral Efficiency of Cell-free Massive MIMO with Multi-Antenna Users". W 2019 3rd International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom). IEEE, 2019. http://dx.doi.org/10.1109/sigtelcom.2019.8696221.
Pełny tekst źródłaLi, Xiran, Fanggang Wang, Zhihao Yang i Qianhua Li. "Uplink Precoding Design for Coherent Paired Users in Multi-cell MIMO Systems". W 2023 IEEE Globecom Workshops (GC Wkshps). IEEE, 2023. http://dx.doi.org/10.1109/gcwkshps58843.2023.10464920.
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