Letteratura scientifica selezionata sul tema "MU-MIMO communications"
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Articoli di riviste sul tema "MU-MIMO communications":
Shen, Ye-Shun, Fang-Biau Ueng e Chin-Yang Kung. "Novel Detectors for Massive MU-MIMO Communications". IETE Journal of Research 66, n. 6 (21 maggio 2019): 823–40. http://dx.doi.org/10.1080/03772063.2019.1615390.
Hemrungrote, Sirichai, Toshikazu Hori, Mitoshi Fujimoto e Kentaro Nishimori. "Channel Capacity Evaluation for Urban MIMO Systems Using Path Visibility". ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, n. 1 (9 luglio 2010): 121–32. http://dx.doi.org/10.37936/ecti-eec.201191.172335.
Castillo-Soria, Francisco R., J. Alberto Del Puerto-Flores, Cesar A. Azurdia-Meza, Vinoth Babu Kumaravelu, Jorge Simón e Carlos A. Gutierrez. "Precoding for RIS-Assisted Multi-User MIMO-DQSM Transmission Systems". Future Internet 15, n. 9 (2 settembre 2023): 299. http://dx.doi.org/10.3390/fi15090299.
FANG, Shu, Li-hua LI e Ping ZHANG. "Grassmannian precoding MU-MIMO scheme". Journal of China Universities of Posts and Telecommunications 15, n. 3 (settembre 2008): 105–17. http://dx.doi.org/10.1016/s1005-8885(08)60116-8.
Liu, Fan, Christos Masouros, Ang Li, Huafei Sun e Lajos Hanzo. "MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission". IEEE Transactions on Wireless Communications 17, n. 4 (aprile 2018): 2755–70. http://dx.doi.org/10.1109/twc.2018.2803045.
Ibrahim, Sarmad Khaleel, e Saif A. Abdulhussien. "Performance evaluation of precoding system for massive multiple-input multiple-output". Bulletin of Electrical Engineering and Informatics 11, n. 4 (1 agosto 2022): 2054–61. http://dx.doi.org/10.11591/eei.v11i4.3877.
NISHIMORI, Kentaro, Riichi KUDO, Naoki HONMA, Yasushi TAKATORI e Masato MIZOGUCHI. "16 × 16 MIMO Testbed for MU-MIMO Downlink Transmission". IEICE Transactions on Communications E93-B, n. 2 (2010): 345–52. http://dx.doi.org/10.1587/transcom.e93.b.345.
Kim, Jinwoo, e 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.
Shinkevich, Artem, Dmitry A. Pokamestov, Yakov V. Kryukov, Evgeny V. Rogozhnikov, Georgy N. Shalin e Andrey A. Brovkin. "Evaluation of noise immunity of multi-user MIMO systems with imperfect channel estimation and other distortions". Radioelectronics. Nanosystems. Information Technologies. 15, n. 4 (6 dicembre 2023): 441–52. http://dx.doi.org/10.17725/rensit.2023.15.441.
Khomyat, Tanapong, Peerapong Uthansakul e Monthippa Uthansakul. "Performance Analysis of MU-MIMO Systems Using HMRS Technique for Various Transmission Modes". ECTI Transactions on Electrical Engineering, Electronics, and Communications 12, n. 1 (25 febbraio 2014): 53–62. http://dx.doi.org/10.37936/ecti-eec.2014121.170804.
Tesi sul tema "MU-MIMO communications":
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.
Multiple-input multiple-output (MIMO) technologies were developed to increase system capacity and offer better link reliability. They allow a dense network architecture that will allow many users to connect in the same area without experiencing slowdowns. 5G networks and beyond will use these MIMO technologies with many small antennas allowing the beam to be focused on a given area. Coupled with high-frequency bands, the use of these antennas will significantly increase throughput.In such systems, multi-user (MU)-MIMO detection in the uplink reception and MU-MIMO precoding in the downlink transmission enable separating user data streams and pre-cancelling interference. However, some challenges have to be met under realistic conditions such as the reasonable complexity of the decoding and precoding processes, the erroneous channel knowledge, and the adjacent cell interference. This thesis addresses all these limitations above for the uplink reception and the downlink transmission in MU-MIMO systems.In the uplink reception, we study the well-known sphere decoding (SD) algorithm for MIMO detection. We seek to reduce its complexity which increases exponentially with the number of antennas and the constellation size. Thus, we profit from recent advances in neural networks (NNs) to develop the low-complexity NN assisted SD. We also propose the block recursive MIMO decoding, which achieves almost the maximum likelihood (ML) performance. Using deep neural networks (DNNs), we suggest a new and low complex scheme for signal processing and cloud-RAN (C-RAN) detection. This DNN scheme aims to mimic the whole transmission in uplink C-RAN, which considers the quantization constraints at the radio remote units (RRUs) and the corrupted observations at the central processor (CP).In the downlink transmission, we study the non-linear vector perturbation (VP) precoding. We design the combined VP to serve multiple users with different modulation coding schemes (MCSs). We also introduce the block VP algorithm, which merges both linear and non-linear precoding to offer a tunable tradeoff between complexity and performance. To deal with the erroneous channel state information (CSI) in the downlink precoding, we develop the new CSI accuracy indicator reporting to design a novel precoder that is less sensitive to CSI errors
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.
Fundamental research towards beyond 5G cellular networks is ongoing and the vision of 2020 and beyond includes a significant amount use cases considering a massive number of devices with a wide range of characteristics and demands. On the one hand, the good spectral efficiency gives more capacity for the transmission while on the other hand, building compact and low-cost flexible and high-quality radio equipment is a very challenging task. The context of this thesis is the study of massive MIMO techniques with the presence of radio frequency (RF) imperfections, in particular, the non-linear (NL) power amplifiers (PA). The large number of PAs equipped in the base station (BS) creates various constraints which lead to strong degradation of the transmission quality both in the band and out of band. On the other hand, 5G standardization introduced the concept of different numerologies together with the massive MIMO technique. The influence of the different numerologies used by the different users will also be studied in this thesis
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.
Fu, Hua. "Spectral resource optimization for MU-MIMO systems with partial frequency bandwidth overlay". Thesis, Rennes, INSA, 2015. http://www.theses.fr/2015ISAR0014/document.
For the next generations of wireless communication systems, getting higher spectral efficiencies is remaining a big challenge to answer the explosively increasing demand of throughput. Meanwhile, the energy consumption of equipments and the transmitting power density have to be reduced to achieve the objective of ‘’green communications’’. One of the most promising strategies to deal with such issues is using multi-user multiple-input multiple-output (MU-MIMO) schemes, namely for large-scale antenna systems. It becomes then possible to simultaneously serve multiple simple device users using linear spatial precoding techniques. The objective of this thesis is to optimize the spectral efficiency of MU-MIMO systems in the context of moderate-scale antenna arrays and low energy consumption. Hence, we studied different high-energy efficiency precoding techniques based on matched filtering approach, such as maximum ratio transmission (MRT), equal gain transmission (EGT) and time reversal (TR). We were interested in the theoretical performance analysis of these techniques. In addition, we introduced a scheme based on partial frequency bandwidth overlay (PFBO) to improve and adapt the spectral efficiency of a MU-MIMO system at low signal to noise ratio (SNR) regime. In a first part, we studied the spectral efficiency of the proposed PFBO scheme with both single-carrier and multi-carrier modulations. We identified the optimal bandwidth overlap ratios that provide the maximum achievable rate for two-user SIMO and MIMO systems. Then the study was extended to a more general MU-MIMO case with an arbitrary number of users. We precisely modeled the channel behavior after precoding when using EGT, TR and MRT techniques. New closed-form capacity lower bounds not available in the literature were then obtained and shown to be satisfactory accurate. In the second part, the bit error rate (BER) performance of PFBO scheme was studied for both flat fading channels and theoretical Rayleigh channels. Closed-form BER equations were obtained. Particularly, we proposed a statistical model to reflect the behavior of the non-flat fading channel after precoding and to take into account the correlated interference terms that occur in a two-user EGT-MIMO system using BPSK modulation. This model was also validated in case of QPSK modulation and with more users. In the last part, we proposed to combine our PFBO principle with spread-spectrum OFDM techniques (SS-OFDM). We analyzed the theoretical BER performance of such a scheme using flat fading channels and theoretical Rayleigh channels. New closed-form BER approximation equations were then established and compared through simulations. Eventually, we showed that the SS component of the proposed system provides performance gains that depend on the overlap ratio used in the PFBO scheme
Manini, Malo. "Allocation de ressources et ordonnancement dans les réseaux de 5ème génération". Thesis, Rennes 1, 2021. http://www.theses.fr/2021REN1S003.
The increasing number of wireless network users and the diversification of their usage call for an evolution of the resource management methods. This thesis is based on 5G resource allocation techniques. In regular wireless networks, cells are managed independently. In this context, we propose a resource allocation algorithm with the aim of fairly guaranteeing the best service to users. When the cell charge is low enough to guarantee a sufficient quality of service, the algorithm redirects dynamically its priorities towards energy saving. This behavior allows to obtain an efficient compromise between capacity and energy consumption at different charge levels. In order to extend network capacity, the adding of new cells allows to broaden the available bandwidth and to reduce the distance induced signal attenuation. We present an algorithm of user repartition in a multi-cell context, which intervenes before the resource allocation stage. A user can be covered by several cells using different frequencies, thus its repartition will have strong repercussions on the cell charge balance and on the general quality of service in the system. The maximal number of cells in a sector is limited by its geographical environment. The Massive-MIMO allows to increase the cell functionalities while allowing a better energy directivity, and thus adding the spatial component to the resource allocation. We propose a new indicator evaluating the spatial compatibility of users based on past allocations. Once integrated in an allocation algorithm, it takes advantage of the superior capacities of Massive-MIMO
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.
Tsungwei, Cho, e 卓宗緯. "SLNR Based Tomlinson-Harashima Precoding Techniques For MU-MIMO Communications Systems". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/25865049868233222952.
國立中正大學
通訊工程研究所
100
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 number of new leakage-based precoding design problems. In our first proposed scheme, the design allows parallel encoding for all spatial streams in the Tomlinson-Harashima precoding within the same user and hence has the advantage of very low precoding latency. In our second scheme, we combine the technique of geometric-mean-decomposition (GMD) with leakage-based precoding and then compare with the existing block-diagonal geometric-mean-decomposition (BD-GMD). In the third scheme, we introduce the lattice reduction technique to leakage-based precoding, and show great computational savings in the lattice-reduction procedure. The proposed designs have been verified and compared through extensive numerical simulations.
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.
Hao, Lin, e 林昊. "Pilot Design for Training-based Channel Estimation in MU-MIMO Relay Communication". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/fu36kf.
國立中央大學
通訊工程學系
105
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 terminal transmission systems with a wide range of distances such as enterprise networks, the best communication between the base station and the user terminal can be achieved by setting a plurality of different trunks. However, when the channel estimation is carried out, the complexity of the channel estimation is increased by improving the channel quality by multi-relay due to the process of inverting the covariance matrix of the channel. Therefore, this paper presents a design based on MU-MIMO relay system uplink channel feedback mechanism, when multiple users share the same pilot sequence, according to the received CSI( channel state information ) to reduce reduce the complexity of the pilot design. The results show that the performance of proposed algorithm pilot design for training-based channel estimation approximate conventional pilot，but it improves the time-frequency resources and improves the system Spectrum utilization.
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.
Com a constante procura de melhores serviços e taxas de transmissão mais elevadas, as tecnologias atuais estão a atingir os limites de capacidade do canal. Contudo tecnologias como o MIMO e os sistemas heterogéneos permitem aumentar a capacidade do canal através da introdução de mais antenas nos transcetores e através da implementação de pequenos pontos de acesso espalhados pela célula primária, com o intuito de tornar as ligações entre os utilizadores e a estação base mais fiáveis. Tendo também em atenção que o espectro atual, sub-6GHz, está sobrecarregado e que devido às propriedades das frequências utilizadas a implementação de sistemas heterogéneos pode levar a níveis de interferência insustentáveis. Por modo a resolver esta sobrecarga futuros sistemas de comunicação devem aproveitar uma maior parte do espectro de frequências disponível. A banda das ondas milimétricas (mmWave) tem sido apontada como solução, o que permite aumentar a frequência utilizada para transportar o sinal e consequentemente aumentar as velocidades de transmissão. Uma outra vantagem da banda mmWave é que pode ser combinada com a tecnologia MIMO massivo, permitindo implementar mais elementos de antena nos terminais e consequentemente aumentar a capacidade do sistema. Umas das tecnologias desenvolvida para melhorar a eficiência energética em sistemas com centenas de antenas é a possibilidade de combinar técnicas de codificação analógica e digital, designadas como arquiteturas híbridas. A principal vantagem desta técnica é que, contrariamente ao processamento feito nos sistemas atuais, totalmente no domínio digital, esta nova arquitetura permite reduzir o número de cadeias RF por antena. Com o intuito de reduzir a interferência em sistemas heterogéneos, técnicas como o alinhamento de interferência são usadas para separar utilizadores das células secundárias dos utilizadores das células primárias de modo a reduzir a interferência multi-nível existente no sistema geral. Nesta dissertação, é implementado e avaliado um sistema heterogéneo que combina MIMO massivo e ondas milimétricas. Este sistema é projetado com equalizadores analógico-digitais para remover com eficiência a interferência intra e inter-camadas. No domínio digital é utilizada a técnica de alinhamento de interferência para remover a interferência e aumentar a eficiência espectral. Os resultados mostram que as soluções propostas são eficientes para remover a interferência entre as células secundárias e a primária.
Mestrado em Engenharia Eletrónica e Telecomunicações
Capitoli di libri sul tema "MU-MIMO communications":
Zhang, Yanqiu, Shu Fang, Yuanchao Han e Yu Zeng. "D2D Assisted MU-MIMO Precoding to Enhance LTE Network". In Communications and Networking, 512–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78130-3_53.
Zhu, Cuitao, Ning Wei, Zhongjie Li e Hanxin Wang. "Two Stage Detection for Uplink Massive MIMO MU-SCMA Systems". In Communications and Networking, 414–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06161-6_41.
Nyarko, James Kweku Nkrumah, e Christian Ango Mbom. "Optimal ZF Precoder Under per Antenna Power with Conjugate Beamforming for MU Massive MIMO Systems". In Communications and Networking, 189–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78139-6_20.
Kalyan, T. Pavan, e 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, 424–30. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25088-0_38.
Pavan Kalyan, T., e 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, 266–73. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25088-0_23.
Srinivasa Rao, D., e V. Berlin Hency. "Contention-Based CSI Feedback Mechanisms in MU-MIMO WLANs: A Survey". In Wireless Communication Networks and Internet of Things, 95–103. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8663-2_10.
Tran-Ha, Vu, Duc-Dung Tran, Dac-Binh Ha e Een-Kee Hong. "On the Performance of MU SIMO/MIMO UWB Communication Systems Applying Time-Reversal Technique". In Transactions on Engineering Technologies, 445–58. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9115-1_34.
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, 290–321. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003362142-15.
Bora, Joyatri, e Md Hussain. "Novel scheduling techniques for multiuser diversity MU-MIMO TDD communication system". In Electronics, Communications and Networks IV, 3–8. CRC Press, 2015. http://dx.doi.org/10.1201/b18592-3.
"MU-MIMO with optimum transceivers". In Foundations of MIMO Communication, 436–96. Cambridge University Press, 2018. http://dx.doi.org/10.1017/9781139049276.009.
Atti di convegni sul tema "MU-MIMO communications":
Lejosne, Yohan, Manijeh Bashar, Dirk Slock e 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.
Kuber, Tejashri, Gokul Sridharan, Dola Saha e 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.
Ding, Changfeng, Cheng Zeng, Na Su, Jun-Bo Wang e 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.
Wang, Cheng, e 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.
Tosato, Filippo, e 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.
Xie, Xiufeng, e 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.
Mirkovic, Jelena. "Fairness and Delay in MU-MIMO WLANs". In 2008 5th IEEE Consumer Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/ccnc08.2007.127.
Tosato, Filippo, e Magnus Sandell. "Codeword based power loading in MU-MIMO". In 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). IEEE, 2016. http://dx.doi.org/10.1109/wcncw.2016.7552717.
Ksairi, Nassar, Beatrice Tomasi e Stefano Tomasin. "Pilot pattern adaptation for 5G MU-MIMO wireless communications". In 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2016. http://dx.doi.org/10.1109/spawc.2016.7536734.
Liu, Guangyi, e Jianhua Zhang. "Comparative Investigation on MU-MIMO Schemes for TDD MIMO OFDMA Uplink". In 2006 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2006. http://dx.doi.org/10.1109/wicom.2006.57.