Relevant bibliographies by topics / MIMO multi users

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

Academic literature on the topic 'MIMO multi users'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "MIMO multi users"

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Sheu, Jeng-Shin, and Kuan-Ming Huang. "Performance Comparison for Single-User and Multi-User Network MIMO Cellular Systems with Power Management." Applied Sciences 11, no. 21 (2021): 10298. http://dx.doi.org/10.3390/app112110298.

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Cellular mobile systems aim at aggressive spectrum reuse to achieve high spectral efficiency. Unfortunately, this leads to unacceptable interference near cell borders. To control this, network multi-input multiple-output (MIMO) can be adopted to improve coverage and cell-edge throughput through multi-cell cooperation. With network MIMO, multiple geographically separated base stations (BSs) cooperatively serve their cell-edge users (CEUs) using their antennas, acting together as a network of distributed antenna array. It can be single-user (SU) or multi-user (MU) network MIMO by coordinating ch
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S., M. Patil, and J. Patil A. "MIMO Based Cognitive Radio Network with Efficient Spectrum Utilization." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 1 (2020): 468–72. https://doi.org/10.35940/ijeat.F1540.1010120.

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This paper presents an energy-efficient power control scheme for Multi-Input–Multi-Output (MIMO) based multi-channel cognitive radio networks (CRNs) with adaptive mode selection protocol. Cognitive radio device operates in the temporal domain to utilize spectrum holes and MIMO system operates in the spatial domain. Thus CRN in collaboration with MIMO can produce a significant improvisation for spectrum utilization, and therefore, the integration of MIMO and CRN has received widespread research interest. To address the challenges of the collaboration of MIMO and CRN, we propose a MIMO bas
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Zhong, Shida, Haogang Feng, Peichang Zhang, et al. "User Oriented Transmit Antenna Selection in Massive Multi-User MIMO SDR Systems." Sensors 20, no. 17 (2020): 4867. http://dx.doi.org/10.3390/s20174867.

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A transmit antenna selection (TxAS) aided multi-user multiple-input multiple-output (MU-MIMO) system is proposed for operating in the MIMO downlink channel environments, which shows significant improvement in terms of higher data rate when compared to the conventional MU-MIMO systems operating without adopting TxAS, while maintaining low hardware costs. We opt for employing a simple yet efficient zero-forcing beamforming (ZFBF) linear precoding scheme at the transmitter in order to reduce the decoding complexity when considering users’ side. Moreover, considering that users within the same cel
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Naeem, Muddasar, Antonio Coronato, Zaib Ullah, Sajid Bashir, and Giovanni Paragliola. "Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning." Sensors 22, no. 21 (2022): 8278. http://dx.doi.org/10.3390/s22218278.

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Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from the research community due to their potential to improve data rates. However, a suitable scheduling mechanism is required to efficiently distribute available spectrum resources and enhance system capacity. This paper investigates the user selection problem in Multi-User MIMO (MU-MIMO) environment using the multi-agent Reinforcement learning (RL) methodology. Adopting multiple antennas’ spatial degrees of freedom, devices can serve to transmit simultaneously in every time slot. We aim to develop an optima
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Sandeep, Dhanraj Bawage, and Shivkumar Manjula. "Downlink channel analysis at multi-cell massive MIMO: novel adaptive channel allocation scheme." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1577~1585. https://doi.org/10.11591/eei.v11i3.3479.

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In large multiple-input multiple-output (MIMO) systems, we offer a new access strategy for crowd situations. Crowd situations include a high number users who have intermittent access patterns, making orthogonal scheduling impossible. In this paper, the work is driven by the massive MIMO problem at crowded environment. The pilot contamination problem is dependent on the protocol assumptions is observed in the system. We investigate a crowd situation in which the users number and their access behaviours make scheduling broadcasts impossible. The pilot assignment is time-slot randomized, but the
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Handayani, Puji, and Beny Burhanusshomad. "Kinerja Multi-user MIMO OFDM dengan Block-Diagonalization Precoding." Jurnal JEETech 4, no. 1 (2023): 15–19. http://dx.doi.org/10.32492/jeetech.v4i1.4103.

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Multiple-input multiple-output (MIMO) is a transmission technology that uses more than one antenna both on the transmitter side and on the receiver side. In the communication services, the system will involve more than one active user who uses one base station (BS) together so that it is called multi-user MIMO (MU-MIMO). This paper discusses the performances of MU-MIMO when it uses block diagonalization (BD) precoding and applies minimum mean squared error (MMSE) detector. As a comparison we also apply zero-forcing (ZF) detector. From the simulations that have been done, it is found that the M
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Raviv, Li-on, and Amir Leshem. "Scheduling for Multi-User Multi-Input Multi-Output Wireless Networks with Priorities and Deadlines." Future Internet 11, no. 8 (2019): 172. http://dx.doi.org/10.3390/fi11080172.

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The spectral efficiency of wireless networks can be significantly improved by exploiting spatial multiplexing techniques known as multi-user MIMO. These techniques enable the allocation of multiple users to the same time-frequency block, thus reducing the interference between users. There is ample evidence that user groupings can have a significant impact on the performance of spatial multiplexing. The situation is even more complex when the data packets have priority and deadlines for delivery. Hence, combining packet queue management and beamforming would considerably enhance the overall sys
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VijayaLakshmi, Dr M., and 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, no. 10 (2023): 1410–17. http://dx.doi.org/10.22214/ijraset.2023.56225.

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Abstract: For cell-free massive multi-input multi-output (CF-m-MIMO) across frequency-selective fading channels, this system introduces and determines the effectiveness of the orthogonal frequency-division multiplexing (OFDM)-based multi-carrier transmission. The CF-m-MIMO-OFDM system can accommodate a substantial user base and is flexible enough to offer a range of data rates for usage in a variety of contexts. With its scalability and flexibility, the CF-m-MIMO-OFDM transmission network can serve a large number of users at variable data rates. It is proposed to beamform in the frequency-doma
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Dai, Jian Xin, Jun Zhou, Jie Qi, Ming Chen, Tao Yuan, and Jun Zhao. "Optimal Power Analysis of Downlink Multi-User SA-MIMO Systems Use." Applied Mechanics and Materials 614 (September 2014): 530–34. http://dx.doi.org/10.4028/www.scientific.net/amm.614.530.

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This paper investigated the problem of transmit power minimization to meet the users’ outage probability constraints in downlink smart antennas-MIMO (SA-MIMO) systems. Firstly, a downlink multi-user SA-MIMO system model is established, and the transmit power optimization problem is formulated. The optimization problem jointly optimizes the beam-forming vectors and user outage probability. Then, the outage-based optimization problem is transformed into a geometric programming problem in which the beam forming vectors were obtained by maximum diagonal element (MDE) rule. Some numerical results s
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Al Fatli, Haitham, Khairun Nidzam Ramli, Elfarizanis Baharudin, Rami Qays Malik, and Zahraa Hashim Kareem. "Review of Multi-User Beamspace Massive MIMO in Downlink System." Journal of Advanced Research in Applied Sciences and Engineering Technology 62, no. 1 (2024): 275–87. https://doi.org/10.37934/araset.62.1.275287.

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Linear Beamspace achieves special features in the performance of wireless communication systems as it is providing high capacity, ability and will form with another beam an orthogonal channel at the same time and frequency source of the transmitter Base Station in the downlink system. This paper considered the different technologies use in downlink Beamspace massive MIMO systems with a random number of users which can compose different sizes of clusters. Therefore, we focus on this review study on counting the number of users per cell and the possibility to increase it by using frequency reuse
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Dissertations / Theses on the topic "MIMO multi users"

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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.

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Avec la progression de l'utilisation des smartphones, les modèles de systèmes ont rapidement évolué pour répondre aux besoins croissants en terme de capacité dans les réseaux sans fil. En effet, les progrès technologiques ont été considérables, depuis les communications point à point mono-utilisateur et mono-antenne jusqu'aux réseaux cellulaires multi-cellules et multi-antennes. Depuis la 3G, la technologie MIMO (multiple-input multiple-output) pour les communications sans fil est désormais intégrée aux normes de la large bande sans fil. L'ajout de plusieurs antennes, tant du côté de l'émetteu
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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.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 167-170). Also available in electronic version. Access restricted to campus users.
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Stanković, Veljko. "Multi-user MIMO wireless communications." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985258039.

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Wei, Chun-Yi. "Iterative downlink multi-user MIMO systems." Thesis, University of Southampton, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485522.

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In this treatise, we explore diverse multi-user transmission techniques and joint detection-decoding schemes designed for downlink multi-user transmissions, while maintaining a low complexity, a high throughput and a high integrity. More specifically, in Chapter 2 we will introduce various Multi-User Transmission (MUT) techniques for the Space Division Multiple Access Down-Link (DL-SDMA) employing the sophisticated linear SpatioTemporal Pre-processing (STP) schemes, which are capable of eliminating the multi-user interference at the Base Station (BS) and increase the transmission integrity at
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Wang, 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.

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Keskin, Faruk. "Precoding for MIMO multi-user mobile radio downlinks." [Kaiserslautern] : [Universitätsbibliothek], 2007. http://d-nb.info/989961354/34.

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Anderson, 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.

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Thesis (Ph. D.)--University of California, San Diego, 2008.<br>Title from first page of PDF file (viewed December 16, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 144-151).
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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.

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In this thesis, linear precoding designs and scheduling algorithms are studied based on the maximum Signal-to-Leakage-plus-Noise Ratio (SLNR) criteria in single-cell Multi-user MIMO (MU-MIMO) systems as well as in multi-cell MIMO cooperative networks. The conventional SLNR precoding scheme is firstly investigated. Analytic expressions of the conventional SLNR-based solution are derived and are shown to be a generalised form of regularised channel inversion techniques. Consequently, equivalence between the SLNR and other regularised channel inversion schemes for the case of single-antenna and m
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Tervo, 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.

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In a cellular network with small cells, where all the communication resources are shared, the inter-cell interference becomes a limiting factor of performance. The strategies for mitigating the inter-cell interference has been quite extensively studied lately. One of the promising candidates is coordinated beamforming/scheduling, where a certain number of cells is allowed to cooperate such that the transmission from each cell takes into account the interference it would cause to the users of other cells. In this thesis, the performances of different signaling strategies which perform the weigh
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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.

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Books on the topic "MIMO multi users"

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Multi-User MIMO Wireless Communications. Independently Published, 2021.

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Ben Zid, Maha, ed. Recent Trends in Multi-user MIMO Communications. InTech, 2013. http://dx.doi.org/10.5772/3306.

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Zid, Maha Ben. Recent Trends in Multi-user MIMO Communications. Intechopen, 2013.

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Oestges, Claude, and Bruno Clerckx. MIMO Wireless Networks: Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems. Elsevier Science & Technology Books, 2013.

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MIMO Wireless Networks: Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems. Elsevier Science & Technology Books, 2013.

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Ho, Lok Pan. MIMO multi-user precoding with and without channel estimation errors. 2007.

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Book chapters on the topic "MIMO multi users"

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Tufvesson, Fredrik, Katsuyuki Haneda, and Veli-Matti Kolmonen. "Multi-User MIMO Channels." In LTE-Advanced and Next Generation Wireless Networks. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118410998.ch7.

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Rupp, Markus, Stefan Schwarz, and Martin Taranetz. "Advanced Multi User MIMO Concepts." In The Vienna LTE-Advanced Simulators. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0617-3_7.

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Sanguinetti, Luca, and H. Vincent Poor. "Fundamentals of Multi-User MIMO Communications." In New Directions in Wireless Communications Research. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0673-1_6.

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Prasad, Ramjee, Suvra Sekhar Das, and Muhammad Imadur Rahman. "MIMO Precoding in Multi-User Scenarios." In Adaptive PHY-MAC Design for Broadband Wireless Systems. River Publishers, 2022. http://dx.doi.org/10.1201/9781003336969-11.

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Speidel, Joachim. "Principles of Multi-user MIMO Transmission." In Signals and Communication Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00548-1_24.

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Speidel, Joachim. "Principles of Multi-user MIMO Transmission." In Signals and Communication Technology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_20.

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Mielczarek, B., and W. A. Krzymien. "Throughput of Heterogeneous Multi-Cell Multi-User MIMO-OFDM Systems." In Multi-Carrier Spread-Spectrum. Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4437-2_13.

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Zhang, Chenxin, Liang Liu, and Viktor Öwall. "Future Multi-User MIMO Systems: A Discussion." In Heterogeneous Reconfigurable Processors for Real-Time Baseband Processing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24004-6_7.

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Yuan, Weijie, Nan Wu, and Jingming Kuang. "Downlink Multi-user Detection for MIMO-SCMA System." In Receiver Design for High Spectral Efficiency Communication Systems in Beyond 5G. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8090-9_3.

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Bilenne, Olivier, Panayotis Mertikopoulos, and E. Veronica Belmega. "Derivative-Free Optimization over Multi-user MIMO Networks." In Network Games, Control and Optimization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87473-5_3.

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Conference papers on the topic "MIMO multi users"

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Andersson, Martin, Tung T. Vu, Pål Frenger, and Erik G. Larsson. "User-to-User Interference Mitigation in Dynamic TDD MIMO Systems with Multi-Antenna Users." In 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2024. http://dx.doi.org/10.1109/spawc60668.2024.10694637.

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Marques, João Paulo P. G., Kiril Danilchenko, and Catherine Rosenberg. "Performance Evaluation of MU-MIMO Systems with Multi-Antenna Users for Different Precoding Strategies." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978506.

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Mahmoud, Amel Mohamed, Ahmed Hesham Mehana, and Yasmine Ali Fahmy. "Scalable Cell-Free Massive MIMO for Indoor Industrial IoT Factory with Multi-Antenna Users." In 2025 15th International Conference on Electrical Engineering (ICEENG). IEEE, 2025. https://doi.org/10.1109/iceeng64546.2025.11031361.

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Truong, Thanh Phung, Anh-Tien Tran, Van Dat Tuong, Nhu-Ngoc Dao, and Sungrae Cho. "NOMA-Enhanced Quantized Uplink Multi-user MIMO Communications." In IEEE INFOCOM 2024 - IEEE Conference on Computer Communications. IEEE, 2024. http://dx.doi.org/10.1109/infocom52122.2024.10621204.

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Ota, Kosuke, Satoshi Denno, and Yafei Hou. "Overloaded Multi-User MIMO With Receive Spatial Filters." In 2024 IEEE 29th Asia Pacific Conference on Communications (APCC). IEEE, 2024. https://doi.org/10.1109/apcc62576.2024.10768081.

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Abolpour, Milad, MohammadJavad Salehi, and Antti Tölli. "Coded Information Retrieval in Multi-User MIMO Systems." In 2024 58th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2024. https://doi.org/10.1109/ieeeconf60004.2024.10943035.

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Bandemer, Bernd, Martin Haardt, and Samuli Visuri. "Linear MMSE Multi-User MIMO Downlink Precoding for Users with Multiple Antennas." In 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2006. http://dx.doi.org/10.1109/pimrc.2006.254439.

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Li, Xueru, Emil Bjornson, Shidong Zhou, and Jing Wang. "Massive MIMO with multi-antenna users: When are additional user antennas beneficial?" In 2016 23rd International Conference on Telecommunications (ICT). IEEE, 2016. http://dx.doi.org/10.1109/ict.2016.7500452.

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Mai, Trang C., Hien Quoc Ngo, and Trung Q. Duong. "CELL-FREE MASSIVE MIMO SYSTEMS WITH MULTI-ANTENNA USERS." In 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2018. http://dx.doi.org/10.1109/globalsip.2018.8646330.

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Flordelis, Jose, Xiang Gao, Ghassan Dahman, Fredrik Rusek, Ove Edfors, and Fredrik Tufvesson. "Spatial separation of closely-spaced users in measured massive multi-user MIMO channels." In 2015 IEEE International Conference on Signal Processing for Communications (ICC). IEEE, 2015. http://dx.doi.org/10.1109/icc.2015.7248526.

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