Relevant bibliographies by topics / Communications MU-MIMO

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  2. Dissertations / Theses
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Academic literature on the topic 'Communications MU-MIMO'

Author: Grafiati
Published: 1 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Communications MU-MIMO"

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Shen, Ye-Shun, Fang-Biau Ueng, and Chin-Yang Kung. "Novel Detectors for Massive MU-MIMO Communications." IETE Journal of Research 66, no. 6 (2019): 823–40. http://dx.doi.org/10.1080/03772063.2019.1615390.

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Hemrungrote, Sirichai, Toshikazu Hori, Mitoshi Fujimoto, and Kentaro Nishimori. "Channel Capacity Evaluation for Urban MIMO Systems Using Path Visibility." ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, no. 1 (2010): 121–32. http://dx.doi.org/10.37936/ecti-eec.201191.172335.

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Multiple-Input Multiple-Output (MIMO) and Multi-User MIMO (MU-MIMO) systems are expected to improve the channel capacity over the limited bandwidth of existing wireless communication networks. The effects on the channel capacity characteristics of Single-User MIMO (SU-MIMO) systems in urban scenarios have been previously studied. In this paper, we first clarify that the larger number of antennas cannot contribute the improvement in the channel capacity in urban SU-MIMO scenarios due to the very high spatial correlation. Next, we focus on the MU-MIMO transmission because it can discriminate mul
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Castillo-Soria, Francisco R., J. Alberto Del Puerto-Flores, Cesar A. Azurdia-Meza, Vinoth Babu Kumaravelu, Jorge Simón, and Carlos A. Gutierrez. "Precoding for RIS-Assisted Multi-User MIMO-DQSM Transmission Systems." Future Internet 15, no. 9 (2023): 299. http://dx.doi.org/10.3390/fi15090299.

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This paper presents two precoding techniques for a reconfigurable intelligent surface (RIS)-assisted multi-user (MU) multiple-input multiple-output (MIMO) double quadrature spatial modulation (DQSM) downlink transmission system. Instead of being applied at the remote RIS, the phase shift vector is applied at the base station (BS) by using a double precoding stage. Results show that the proposed RIS-MU-MIMO-DQSM system has gains of up to 17 dB in terms of bit error rate (BER) and a reduction in detection complexity of 51% when compared with the conventional MU-MIMO system based on quadrature am
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Liu, Fan, Christos Masouros, Ang Li, Huafei Sun, and Lajos Hanzo. "MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission." IEEE Transactions on Wireless Communications 17, no. 4 (2018): 2755–70. http://dx.doi.org/10.1109/twc.2018.2803045.

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FANG, Shu, Li-hua LI, and Ping ZHANG. "Grassmannian precoding MU-MIMO scheme." Journal of China Universities of Posts and Telecommunications 15, no. 3 (2008): 105–17. http://dx.doi.org/10.1016/s1005-8885(08)60116-8.

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Ibrahim, Sarmad Khaleel, and Saif A. Abdulhussien. "Performance evaluation of precoding system for massive multiple-input multiple-output." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 2054–61. http://dx.doi.org/10.11591/eei.v11i4.3877.

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Low latency, high data speeds, and a higher degree of perceived service quality for consumers and base station capacity are only some of the advantages of fifth generation (5G) mobile communications. This paper focuses on the design of a precoding system for downlink transmission of multi-user multiple-input multiple-output (MU-MIMO). For MU-MIMO systems, the traditional precoding techniques investigated are difficult since the transmitter precoding matrices created by singular value decomposition (SVD) are calculated twice. This paper implements different techniques of precoding with channel
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NISHIMORI, Kentaro, Riichi KUDO, Naoki HONMA, Yasushi TAKATORI, and Masato MIZOGUCHI. "16 × 16 MIMO Testbed for MU-MIMO Downlink Transmission." IEICE Transactions on Communications E93-B, no. 2 (2010): 345–52. http://dx.doi.org/10.1587/transcom.e93.b.345.

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Kim, Jinwoo, and Chung G. Kang. "Diversity-Multiplexing-Nulling Trade-Off Analysis of Multiuser MIMO System for Intercell Interference Coordination." Wireless Communications and Mobile Computing 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/5709367.

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A fundamental performance trade-off of multicell multiuser multiple-input multiple-output (MU-MIMO) systems is explored for achieving intercell and intracell interference-free conditions. In particular, we analyze the three-dimensional diversity-multiplexing-nulling trade-off (DMNT) among the diversity order (i.e., the slope of the error performance curve), multiplexing order (i.e., the number of users that are simultaneously served by MU-MIMO), and nulling order (i.e., the number of users with zero interference in a victim cell). This trade-off quantifies the performance of MU-MIMO in terms o
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Shinkevich, Artem, Dmitry A. Pokamestov, Yakov V. Kryukov, Evgeny V. Rogozhnikov, Georgy N. Shalin, and Andrey A. Brovkin. "Evaluation of noise immunity of multi-user MIMO systems with imperfect channel estimation and other distortions." Radioelectronics. Nanosystems. Information Technologies. 15, no. 4 (2023): 441–52. http://dx.doi.org/10.17725/rensit.2023.15.441.

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The technology of multi-antenna MIMO (Multiple Input Multiple Output) systems is actively used in modern wireless communication systems. MIMO can enhance the performance of wireless data transmission systems, but their effectiveness depends on the transmission conditions. Ideal conditions are represented as a channel with a large number of possible signal propagation paths and an error-free estimation of its parameters. The estimation error significantly affects the performance of the beamforming algorithms used to mitigate inter-user interference in multi-user MIMO (MU-MIMO) systems. Spatial
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Khomyat, Tanapong, Peerapong Uthansakul, and Monthippa Uthansakul. "Performance Analysis of MU-MIMO Systems Using HMRS Technique for Various Transmission Modes." ECTI Transactions on Electrical Engineering, Electronics, and Communications 12, no. 1 (2014): 53–62. http://dx.doi.org/10.37936/ecti-eec.2014121.170804.

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It is the fact that the bandwidth of wireless communication system is such a limited resource that several techniques are selectively applied to increase the bandwidth efficiency. The highest bandwidth efficiency can be taken by applying Multi-User Multiple-Input Multiple-Output (MU-MIMO) technique. For this technique, the complexity of detection is rapidly increased by increasing the number of users. Thus the lower complex detection is necessarily required for MU-MIMO system. Recently, the simple detection technique called hybrid-MIMO receiver scheme (HMRS) has been proposed by the authors. H
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Dissertations / Theses on the topic "Communications MU-MIMO"

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Askri, Aymen. "The uplink reception and downlink transmission in MU-MIMO for 5G." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT006.

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Les technologies à entrées multiples et sorties multiples (MIMO) ont été développées pour augmenter la capacité du système et offrir une meilleure fiabilité de la liaison. Ils permettent une architecture réseau dense qui permettra à de nombreux utilisateurs de se connecter dans la même zone sans subir de ralentissements. Les réseaux 5G et au-delà utiliseront ces technologies MIMO avec de nombreuses petites antennes permettant au faisceau de se concentrer sur une zone donnée. Couplées à des bandes haute fréquence, l'utilisation de ces antennes augmentera considérablement le débit. Dans ces syst
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Cheng, Xinying. "Study and mitigation techniques of RF impairments for beyond 5G multi-carrier waveforms." Electronic Thesis or Diss., Sorbonne université, 2021. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2021SORUS181.pdf.

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La recherche fondamentale vers les réseaux cellulaires au-delà de la 5G est en cours et la vision de 2020 et au-delà comprend un nombre important de cas d'utilisation comptenu d'un grand nombre d'appareils avec un large éventail de caractéristiques et de demandes. D'une part, la bonne efficacité spectrale donne plus de capacité pour la transmission tandis que d'autre part, la construction d'équipements radio compacts et peu coûteux, flexibles et de haute qualité est une tâche très difficile. Le contexte des travaux de cette thèse est l'étude des techniques de type massive MIMO en présence d'im
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Bai, Zijian [Verfasser]. "Interference-Aware Receiver Design for Closed-Loop MU-MIMO Transmission in Mobile Communication Systems / Zijian Bai." München : Verlag Dr. Hut, 2015. http://d-nb.info/1075409381/34.

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Fu, Hua. "Spectral resource optimization for MU-MIMO systems with partial frequency bandwidth overlay." Thesis, Rennes, INSA, 2015. http://www.theses.fr/2015ISAR0014/document.

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Pour les prochaines générations de systèmes de communications sans fil, un défi majeur est de poursuivre l'augmentation de l' efficacité spectrale de ces systèmes pour satisfaire la montée croissante des demandes en débit, tout en revoyant à la baisse la consommation énergétique des équipements et répondre ainsi aux objectifs des ''communications vertes’’. L'une des stratégies permettant de traiter ce problème sont les communications multiantennes multi-utilisateurs (MU-MIMO), notamment lorsque le nombre d'antennes devient très grand (Massive MIMO). Il est alors possible d'adresser de multiple
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Manini, Malo. "Allocation de ressources et ordonnancement dans les réseaux de 5ème génération." Thesis, Rennes 1, 2021. http://www.theses.fr/2021REN1S003.

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L'augmentation du nombre d'utilisateurs des réseaux sans-fil et la diversification de leurs usages amène à faire évoluer les méthodes de gestion des ressources. Cette thèse porte sur les techniques d'allocation des ressources dans les réseaux de 5G. Dans le contexte des systèmes classiques de réseaux sans-fil, nous proposons un algorithme d'allocation de ressources dont l'objectif est de garantir équitablement le meilleur service aux utilisateurs. Lorsque la charge de la cellule est suffisamment faible pour garantir un service suffisant, l'algorithme réoriente dynamiquement ses priorités vers
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McCarthy, Stephen J. "Investigation of Power Reduction Methods for Multi-User MIMO WLAN Applications." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1416778581.

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Tsungwei, Cho, and 卓宗緯. "SLNR Based Tomlinson-Harashima Precoding Techniques For MU-MIMO Communications Systems." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/25865049868233222952.

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碩士<br>國立中正大學<br>通訊工程研究所<br>100<br>Multi-user multiple-input-multiple-out (MU-MIMO) downlink communications have drawn great research attention recently due to its capability of providing high data-rate high reliability services. In order to effectively suppress the co-channel interference (CCI) among the mobile users, the leakage-based precoding has been proposed. The leakage-based precoding decouples the MU-MIMO system into multiple parallel single-user system and allows for closed-form solution, and therefore has relatively low computational complexity. In this paper, we investigate a numbe
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Verma, Kanchan. "Opportunistic Beamforming and Asymptotic Throughput Analysis of Hybrid Analog-Digital mmWave Multi-User MIMO Systems." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5864.

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In this thesis, we address the problem of large training/feedback overhead and the requirement of computationally intensive algorithms to determine the phase angles of the analog precoder for downlink data transmission in hybrid analog-digital (A-D) multi-user (MU) millimeter wave (mmWave) systems. We investigate the use of opportunistic beamforming (OBF) using a dumb analog precoder as a solution to these issues. The OBF based schemes work as follows. The BS transmits a known pilot symbol over a random analog precoding vector. Using this, all the users in the system estimate their effec
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Hao, Lin, and 林昊. "Pilot Design for Training-based Channel Estimation in MU-MIMO Relay Communication." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/fu36kf.

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碩士<br>國立中央大學<br>通訊工程學系<br>105<br>Multi-user multiple-input multiple-output ( MU-MIMO ) technology by combining the terminal equipment to achieve the base station can use the maximum available bandwidth at the same time service terminal user group, solving the problem of time-frequency resources in single-user MIMO system. Speeding data rates while also ensuring better network coverage. In a fading channel with a long distance, the relay acts as a means of storing and transferring information from the source to the destination in the wireless communication system. Therefore, for multi-user term
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Correia, Luís Miguel Ribeiro. "Hybrid equalization techniques for heterogeneous systems in the millimeter wave band." Master's thesis, 2021. http://hdl.handle.net/10773/32345.

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With the constant demand for better service and higher transmission rates current technologies are reaching the limits of the channel capacity. Although, technologies such as MIMO and Heterogeneous systems appear to increase the channel capacity by introducing more antennas at the transceivers making the link between users and base station more reliable. Furthermore, the current spectrum, sub-6GHz, is becoming saturated and due to the properties of such frequencies the deployment of heterogeneous systems can introduce some levels of interference. Towards improving future communication systems
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Book chapters on the topic "Communications MU-MIMO"

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Zhang, Yanqiu, Shu Fang, Yuanchao Han, and Yu Zeng. "D2D Assisted MU-MIMO Precoding to Enhance LTE Network." In Communications and Networking. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78130-3_53.

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Zhu, Cuitao, Ning Wei, Zhongjie Li, and Hanxin Wang. "Two Stage Detection for Uplink Massive MIMO MU-SCMA Systems." In Communications and Networking. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06161-6_41.

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Challa, Naga Raju, Kalapraveen Bagadi, Visalakshi Annepu, Kamireddy Vijay Chandra, and Deepika Rani Sona. "Design of Efficient Signal Detection Schemes for Large-Scale MU-MIMO System." In 5G and Beyond Wireless Communications. CRC Press, 2024. http://dx.doi.org/10.1201/9781032625034-11.

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Nyarko, James Kweku Nkrumah, and Christian Ango Mbom. "Optimal ZF Precoder Under per Antenna Power with Conjugate Beamforming for MU Massive MIMO Systems." In Communications and Networking. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78139-6_20.

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Kalyan, T. Pavan, and K. Chanthirasekaran. "PDR Improvements Using Per User Based Multi Threshold Scheduling Compared to Priority Scheduling for MU-MIMO Networks." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25088-0_38.

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Pavan Kalyan, T., and K. Chanthirasekaran. "Per User Based Multi Threshold Scheduling for BER Improvement Compared to Priority Scheduling in MU-MIMO Networks." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25088-0_23.

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Srinivasa Rao, D., and V. Berlin Hency. "Contention-Based CSI Feedback Mechanisms in MU-MIMO WLANs: A Survey." In Wireless Communication Networks and Internet of Things. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8663-2_10.

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Tran-Ha, Vu, Duc-Dung Tran, Dac-Binh Ha, and Een-Kee Hong. "On the Performance of MU SIMO/MIMO UWB Communication Systems Applying Time-Reversal Technique." In Transactions on Engineering Technologies. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9115-1_34.

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Chen, Bor-Sen. "Multi-Objective Beamforming Power Control for Robust SINR Target Tracking and Power Efficiency in Multicell MU-MIMO Wireless Communication Systems." In Multi-Objective Optimization System Designs and Their Applications. CRC Press, 2023. http://dx.doi.org/10.1201/9781003362142-15.

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Bora, Joyatri, and Md Hussain. "Novel scheduling techniques for multiuser diversity MU-MIMO TDD communication system." In Electronics, Communications and Networks IV. CRC Press, 2015. http://dx.doi.org/10.1201/b18592-3.

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Conference papers on the topic "Communications MU-MIMO"

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Lee, Bumhee, Mohsen Pourghasemian, Ali Abdi, et al. "Programmable 28GHz mmWave MU-MIMO Testbed." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978370.

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Neelam, Sapta Girish. "Performance Analysis of MU-MIMO OTSM Downlink Systems." In 2025 National Conference on Communications (NCC). IEEE, 2025. https://doi.org/10.1109/ncc63735.2025.10983292.

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Katsaros, G. N., J. C. De Luna Ducoing, and Konstantinos Nikitopoulos. "Towards Neuromorphic Processing for Next-Generation MU-MIMO Detection." In 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2024. http://dx.doi.org/10.1109/spawc60668.2024.10694542.

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Lee, Jeongjae, and Songnam Hong. "Near-Field LoS Channel Estimation for RIS-Aided MU-MIMO Systems." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978512.

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Lejosne, Yohan, Manijeh Bashar, Dirk Slock, and Yi Yuan-Wu. "From MU massive MISO to pathwise MU massive MIMO." In 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2014. http://dx.doi.org/10.1109/spawc.2014.6941308.

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Kuber, Tejashri, Gokul Sridharan, Dola Saha, and Ivan Seskar. "Practical MU-MIMO experiments using SDRs." In 2017 IEEE Conference on Computer Communications: Workshops (INFOCOM WKSHPS). IEEE, 2017. http://dx.doi.org/10.1109/infcomw.2017.8116431.

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Ding, Changfeng, Cheng Zeng, Na Su, Jun-Bo Wang, and Min Lin. "Transmit Precoding for MIMO Radar and MU-MIMO Communication with ISAC." In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10437388.

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Wang, Cheng, and Ross D. Murch. "MU-MIMO Decomposition Transmission with Limited Feedback." In 2007 IEEE Wireless Communications and Networking Conference. IEEE, 2007. http://dx.doi.org/10.1109/wcnc.2007.210.

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Tosato, Filippo, and Magnus Sandell. "Codeword based power loading in MU-MIMO." In 2016 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2016. http://dx.doi.org/10.1109/wcnc.2016.7564688.

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Xie, Xiufeng, and Xinyu Zhang. "Scalable user selection for MU-MIMO networks." In IEEE INFOCOM 2014 - IEEE Conference on Computer Communications. IEEE, 2014. http://dx.doi.org/10.1109/infocom.2014.6848008.

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