Academic literature on the topic 'Multiuser communication'

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Journal articles on the topic "Multiuser communication"

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Qing yang, Guan, Wu Shuang, and He Ya-Ru. "Deep Learning Network for Multiuser Detection in Satellite Mobile Communication System." Computational Intelligence and Neuroscience 2019 (March 4, 2019): 1–11. http://dx.doi.org/10.1155/2019/8613639.

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A multiuser detection (MUD) algorithm based on deep learning network is proposed for the satellite mobile communication system. Due to relative motion between the satellite and users, multiple access interference (MUI) introduced by multipath fading channel reduces system performance. The proposed MUD algorithm based on deep learning network firstly establishes the CINR optimal loss function according to the multiuser access mode and then obtains the best multiuser detection weight through the steepest gradient iteration. Multilayer nonlinear learning obtains interference cancellation sharing weights to achieve maximum signal-to-noise ratio through gradient iteration, which is superior than the traditional serial interference cancellation algorithm and parallel interference cancellation algorithm. Then, the weights with multiuser detection through multilayer network forward learning iteration are obtained with traditional multiuser detecting quality characteristics. The proposed multiuser access detection based on deep learning network algorithm improves the MUD accuracy and reduces the number of traditional multiusers. The performance of the satellite multifading uplink system shows that the proposed deep learning network can provide high precision and better iteration times.
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Zhang, Gang, Niting Cui, and Tianqi Zhang. "Novel Chaos Secure Communication System Based on Walsh Code." Journal of Electrical and Computer Engineering 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/649096.

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A multiuser communication scheme which is a hybrid of Walsh code with DCSK and CDSK is proposed to improve low data transmission rate of Differential Chaos Shift Keying (DCSK), poor bit error ratio (BER) performance of Correlation Delay Shift Keying (CDSK), and disadvantage of orthogonality in traditional multiuser DCSK. It not only overcomes the disadvantages of DCSK and CDSK, but also has better performance than CDSK and higher transmission data rate than DCSK. It has been proved that the novel multiuser CDSK-DCSK has better properties than traditional Multiple Input Multiple Output-Differential Chaos Shift Keying (MIMO-DCSK) and Modified-Differential Chaos Shift Keying (M-DCSK). Also the multiuser interference is greatly suppressed due to the orthogonality of Walsh code.
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Singh, Rajendra, and Dr BS Jassal. "Novel method for the selection of time hopping codes for UWB communication systems." International Journal of Engineering & Technology 7, no. 4 (September 10, 2018): 2063. http://dx.doi.org/10.14419/ijet.v7i4.13558.

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This work investigates the BER performance of existing code families of Frequency Hopping (FH) codes as Time Hopping (TH) codes in multiuser UWB communication environment and provides a novel method for the selection of TH codes. The performance of codes has been validated in AWGN channel for single user and further validated over multiuser environment. A significant improvement in performance has been observed over random codes. It is validated that selection of better TH codes reduces the MUI and improves the overall performance of the communication system and FH codes with better correlation properties can be used as TH codes in multiuser UWB communication system.
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Orda, A., R. Rom, and N. Shimkin. "Competitive routing in multiuser communication networks." IEEE/ACM Transactions on Networking 1, no. 5 (1993): 510–21. http://dx.doi.org/10.1109/90.251910.

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Lin, Huifa, Won-Yong Shin, and Jingon Joung. "Support Vector Machine-Based Transmit Antenna Allocation for Multiuser Communication Systems." Entropy 21, no. 5 (May 6, 2019): 471. http://dx.doi.org/10.3390/e21050471.

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In this paper, a support vector machine (SVM) technique has been applied to an antenna allocation system with multiple antennas in multiuser downlink communications. Here, only the channel magnitude information is available at the transmitter. Thus, a subset of transmit antennas that can reduce multiuser interference is selected based on such partial channel state information to support multiple users. For training, we generate the feature vectors by fully utilizing the characteristics of the interference-limited setup in the multiuser downlink system and determine the corresponding class label by evaluating a key performance indicator, i.e., sum rate in multiuser communications. Using test channels, we evaluate the performance of our antenna allocation system invoking the SVM-based allocation and optimization-based allocation, in terms of sum-rate performance and computational complexity. Rigorous testing allowed for a comparison of a SVM algorithm design between one-vs-one (OVO) and one-vs-all (OVA) strategies and a kernel function: (i) OVA is preferable to OVO since OVA can achieve almost the same sum rate as OVO with significantly reduced computational complexity, (ii) a Gaussian function is a good choice as the kernel function for the SVM, and (iii) the variance (kernel scale) and penalty parameter (box constraint) of an SVM kernel function are determined by 21.56 and 7.67, respectively. Further simulation results revealed that the designed SVM-based approach can remarkably reduce the time complexity compared to a traditional optimization-based approach, at the cost of marginal sum rate degradation. Our proposed framework offers some important insights for intelligently combining machine learning techniques and multiuser wireless communications.
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Jiang, Zheng, Bin Han, Peng Chen, Fengyi Yang, and Qi Bi. "On Novel Access and Scheduling Schemes for IoT Communications." Mobile Information Systems 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/3973287.

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The Internet of Things (IoT) is expected to foster the development of 5G wireless networks and requires the efficient support for a large number of simultaneous short message communications. To address these challenges, some existing works utilize new waveform and multiuser superposition transmission schemes to improve the capacity of IoT communication. In this paper, we will investigate the spatial degree of freedom of IoT devices based on their distribution, then extend the multiuser shared access (MUSA) which is one of the typical MUST schemes to spatial domain, and propose two novel schemes, that is, the preconfigured access scheme and the joint spatial and code domain scheduling scheme, to enhance IoT communication. The results indicate that the proposed schemes can reduce the collision rate dramatically during the IoT random access procedure and improve the performance of IoT communication obviously. Based on the simulation results, it is also shown that the proposed scheduling scheme can achieve the similar performance to the corresponding brute-force scheduling but with lower complexity.
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Wang, Yu Mei, and Jie Wei Feng. "Design of Multiuser Temperature Real-Time Monitoring System with Function of Remote Communication." Applied Mechanics and Materials 441 (December 2013): 380–83. http://dx.doi.org/10.4028/www.scientific.net/amm.441.380.

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Temperature is an important physical characteristic parameter that features the patients physical condition in hospital, and it is a kind of clinical vital signs.This paper presents a kind of multiuser temperature real-time monitoring system; it can realize multiuser fast measure of patients temperature, and draw the patients temperature curves under the guidance of the monitoring system. The system would alarm timely when the patient's temperature is abnormal.
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WHANG, Roderick Jaehoon, Sherlie PORTUGAL, Intae HWANG, and Huaping LIU. "Cooperative Multiuser Relay Communication with Superposition Coding." IEICE Transactions on Communications E95.B, no. 6 (2012): 2133–36. http://dx.doi.org/10.1587/transcom.e95.b.2133.

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Zhengyuan Xu and B. M. Sadler. "Multiuser transmitted reference ultra-wideband communication systems." IEEE Journal on Selected Areas in Communications 24, no. 4 (April 2006): 766–72. http://dx.doi.org/10.1109/jsac.2005.863826.

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Lian, Jie, and Maite Brandt-Pearce. "Multiuser Visible Light Communication Systems Using OFDMA." Journal of Lightwave Technology 38, no. 21 (November 1, 2020): 6015–23. http://dx.doi.org/10.1109/jlt.2020.3008290.

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Dissertations / Theses on the topic "Multiuser communication"

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Ma, Ming. "Multiuser mobile communication systems." Thesis, Lancaster University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289069.

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Al-Hussaibi, Walid Awad. "High capacity multiuser multiantenna communication techniques." Thesis, University of Sussex, 2011. http://sro.sussex.ac.uk/id/eprint/7489/.

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One of the main issues involved in the development of future wireless communication systems is the multiple access technique used to efficiently share the available spectrum among users. In rich multipath environment, spatial dimension can be exploited to meet the increasing number of users and their demands without consuming extra bandwidth and power. Therefore, it is utilized in the multiple-input multiple-output (MIMO) technology to increase the spectral efficiency significantly. However, multiuser MIMO (MU-MIMO) systems are still challenging to be widely adopted in next generation standards. In this thesis, new techniques are proposed to increase the channel and user capacity and improve the error performance of MU-MIMO over Rayleigh fading channel environment. For realistic system design and performance evaluation, channel correlation is considered as one of the main channel impurities due its severe influence on capacity and reliability. Two simple methods called generalized successive coloring technique (GSCT) and generalized iterative coloring technique (GICT) are proposed for accurate generation of correlated Rayleigh fading channels (CRFC). They are designed to overcome the shortcomings of existing methods by avoiding factorization of desired covariance matrix of the Gaussian samples. The superiority of these techniques is demonstrated by extensive simulations of different practical system scenarios. To mitigate the effects of channel correlations, a novel constellation constrained MU-MIMO (CC-MU-MIMO) scheme is proposed using transmit signal design and maximum likelihood joint detection (MLJD) at the receiver. It is designed to maximize the channel capacity and error performance based on principles of maximizing the minimum Euclidean distance (dmin) of composite received signals. Two signal design methods named as unequal power allocation (UPA) and rotation constellation (RC) are utilized to resolve the detection ambiguity caused by correlation. Extensive analysis and simulations demonstrate the effectiveness of considered scheme compared with conventional MU-MIMO. Furthermore, significant gain in SNR is achieved particularly in moderate to high correlations which have direct impact to maintain high user capacity. A new efficient receive antenna selection (RAS) technique referred to as phase difference based selection (PDBS) is proposed for single and multiuser MIMO systems to maximize the capacity over CRFC. It utilizes the received signal constellation to select the subset of antennas with highest (dmin) constellations due to its direct impact on the capacity and BER performance. A low complexity algorithm is designed by employing the Euclidean norm of channel matrix rows with their corresponding phase differences. Capacity analysis and simulation results show that PDBS outperforms norm based selection (NBS) and near to optimal selection (OS) for all correlation and SNR values. This technique provides fast RAS to capture most of the gains promised by multiantenna systems over different channel conditions. Finally, novel group layered MU-MIMO (GL-MU-MIMO) scheme is introduced to exploit the available spectrum for higher user capacity with affordable complexity. It takes the advantages of spatial difference among users and power control at base station to increase the number of users beyond the available number of RF chains. It is achieved by dividing the users into two groups according to their received power, high power group (HPG) and low power group (LPG). Different configurations of low complexity group layered multiuser detection (GL-MUD) and group power allocation ratio (η) are utilized to provide a valuable tradeoff between complexity and overall system performance. Furthermore, RAS diversity is incorporated by using NBS and a new selection algorithm called HPG-PDBS to increase the channel capacity and enhance the error performance. Extensive analysis and simulations demonstrate the superiority of proposed scheme compared with conventional MU-MIMO. By using appropriate value of (η), it shows higher sum rate capacity and substantial increase in the user capacity up to two-fold at target BER and SNR values.
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姍, 路., and Shan Lu. "Coding and decoding for multiuser communication systems." Thesis, https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB12863897/?lang=0, 2014. https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB12863897/?lang=0.

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本論文は、多端子通信路に対するマルチユーザ符号化および復号の研究成果をまとめたものである。多重接続加算通信路による情報伝送において、複数ユーザの稼働状態を識別するための誤り訂正可能なシグネチャ符号の構成を論ず,全伝送率の高いシグネチャ符号の一般的な構成法を解明する.双方向中継通信路では、2ユーザターボ符号に対する復号の演算量を低減させる復号法を提案する。加法性白色ガウス雑音環境下では復号性能を劣化することなく、レイリーフェージング環境下では僅かな劣化にとどめながら、復号の演算量を約半分程度に低減することができる.
Coding and decoding for multiuser communication systems are investigated. For MAAC, we propose a coding scheme of (k + 1)-ary error-correcting signature codes. We give binary and non-binary signature codes. They are the best error-correcting signature codes for MAAC, in the sense that they have highest sum rates known. For TWRC, we propose a low-complexity two-user turbo decoding scheme when turbo codes are applied in two users. The approximate decoding algorithm preserves low decoding complexity over the Gaussian TWRC, without much performance degradation.
博士(工学)
Doctor of Philosophy in Engineering
同志社大学
Doshisha University
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Kang, Deokwon. "MIMO beamforming in multiuser wireless environments." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 81 p, 2009. http://proquest.umi.com/pqdweb?did=1885755741&sid=5&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Kane, Roma. "Multiuser TDMA channel estimation." Diss., Columbia, Mo. : University of Missouri-Columbia, 2004. http://hdl.handle.net/10355/5810.

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Thesis (M.S.)--University of Missouri-Columbia, 2004.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (June 30, 2006) Vita. Includes bibliographical references.
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Bala, Erdem. "Multichannel, multiuser and multiple antenna wireless communication systems." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 184 p, 2007. http://proquest.umi.com/pqdlink?did=1251904851&Fmt=7&clientId=79356&RQT=309&VName=PQD.

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Balasubramanyam, Ramkumar. "Adaptive iterative multiuser detection for wireless communication systems." Thesis, University of Greenwich, 2008. http://gala.gre.ac.uk/8203/.

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Wireless multi-user communication systems that operate in a low signal to interference noise ratio (SINR) region are studied in this thesis. This thesis examines a class of wireless communication systems that employs an adaptive receiver for multi-user symbol detection that operates in a low SINR (< 5 dB) region. Since the knowledge of channel-parameter estimates is unavailable at the receiver, a pilot (training) sequence is applied in the communication system, to learn the channel state information (CSI) at the receiver. In studying the classical view of a DFE, the mean square error (MSE) behaviour follows the bit error rate (BER) performance. Certain original results are obtained using the classical adaptive DFE to achieve minimum MSE, employing the least mean square (LMS) algorithm. The results thus obtained for an uncoded adaptive receiver system are applied to a coded system, transmitting either recursive systematic code (RSC) or turbo-code through a spread-spectrum multiuser multiple-path channel, which are referred to as two-stage and three-stage systems respectively in this thesis. The following claims are made based on the findings of this thesis: 1. It is known that a receiver implementing DFE can mitigate symbol-interference completely at high SINR. An adaptive LMS DFE realizes this by adapting the forward and backward filter coefficients with respective step-size constants. The classical approach to realizing interference mitigation was to set the forward and backward adaptation constants as the same. While this approach has provided interference mitigation at high SINR, it has been shown in this thesis that such an approach does not yield complete interference mitigation, even at high SINR. Instead, using different step-size constants at the backward and forward step-size constants provides the required optimality. 2. A decision feedback detector (DFD) mitigates the effects of interference on the information symbols that are transmitted through this communication channel. This thesis shows that an adaptive (LMS) DFD, using unequal compared to equal step-size constants to update the forward and backward filter coefficients, has a steady-state MSE improvement for an uncoded frequency selective communication channel. This thesis shows that, when the knowledge of CSI is not assumed to be known at a wireless receiver, a three-stage receiver has a BER performance improvement and operates at a lower SINR, without any additional computational complexity compared to a two-stage receiver.
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WANG, SHU. "THE APPLICATION OF SUBSPACE TECHNOLOGIES IN WIRELESS COMMUNICATION SYSTEMS." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1065704505.

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Wang, Ruifeng. "Spatial-temporal signal processing for multiuser CDMA communication systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0003/NQ42986.pdf.

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Khandaker, Muhammad Ruhul Amin. "Signal processing algorithms for multiuser MIMO relay communication systems." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1797.

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The increasing demand for mobile applications such as streaming media, software updates, and location-based services involving group communications has prompted the need for wireless communication technologies that can support reliable high data rates. However, wireless channel is subject to signal fading that severely degrades the system spectral efficiency. By exploiting the spatial diversity, multiple-input multiple-output (MIMO) techniques can provide both theoretically attractive and technically practical solutions to combat channel fading. Moreover, in the case of long source-destination distance, single or multiple MIMO relay node(s) is necessary to combat the pathloss and/or shadowing effects of wireless channel and relay signals from the source to the destination.In this thesis, we focus on multiuser MIMO relay systems. We first present joint source, relay, and receiver optimization algorithms for the uplink system based on the minimum mean-squared error (MMSE) criterion subjecting to individual power constraints at the source and the relay nodes. The proposed algorithms outperform the existing techniques in terms of both MSE and bit-error-rate (BER). Next, in the downlink system, we consider multicasting multiple data streams among a group of users with the aid of a relay node, where all the nodes are equipped with multiple antennas. The downlink system performance is optimized subjecting to both power constraints at the source and the relay nodes and quality-of-service (QoS) constraints at the receivers.Then we present the duality between the uplink and the downlink of a multi-hop MIMO relay system. Based on this duality, we propose an optimal design of the source precoding matrix and relay amplifying matrices for multi-hop MIMO relay system with a nonlinear dirty paper coding (DPC)- based transmitter at the source node. The proposed nonlinear transmitter algorithm outperforms the existing decision feedback equalizer (DFE)-based receiver schemes.Multiuser MIMO relaying is then considered in an interference system where a group of transmitters communicate simultaneously with their desired destination nodes with the aid of multiple relay nodes, all equipped with multiple antennas. Transmit-relay-receive beamforming technique is exploited to minimize the total source and relay transmit power in conjunction with transmit power control such that a minimum QoS threshold is maintained at each receiver. The proposed scheme generalizes the existing single-hop MIMO interference systems and the single-antenna, dual-hop interference relay systems to the dual-hop interference MIMO relay systems with any number of source, relay, and destination nodes, all equipped with multiple antennas.The above algorithms are developed assuming that the instantaneous channel state information (CSI) knowledge of both the source-relay link and the relay-destination link is available at the scheduler. However, in practical relay communication systems, the instantaneous CSI is unknown, and therefore, has to be estimated. Hence, we finally propose a bandwidth efficient MIMO channel estimation algorithm that provides the destination node with full knowledge of all channel matrices involved in a dual-hop MIMO communication. The proposed approach attains smaller channel estimation error and is applicable for both one-way and two-way MIMO relay systems.
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Books on the topic "Multiuser communication"

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Huang, Howard C. MIMO for multiuser wireless systems: Theory and applications. New York: Springer, 2008.

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Elders-Boll, Harald. Sequenz-Design und Multiuser-Detektion für asynchrone Codemultiplex-Systeme. Düsseldorf: VDI Verlag, 1999.

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1975-, Li Yonghui, ed. Cooperative communications: Hardware, channel & PHY. Chichester, West Sussex, U.K: Wiley, 2010.

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Multiuser detection. CambridgeK: Cambridge University Press, 1998.

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SCHLEGEL, Christian, and Alex Grant. Coordinated Multiuser Communications. Springer, 2006.

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Grant, Alex, and CHRISTIAN SCHLEGEL. Coordinated Multiuser Communications. Springer, 2010.

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Coordinated Multiuser Communications. Springer, 2006.

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Honig, Michael L. Advances in Multiuser Detection. Wiley & Sons, Incorporated, John, 2009.

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Honig, Michael L. Advances in Multiuser Detection. Wiley & Sons, Incorporated, John, 2009.

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Honig, Michael L. Advances in Multiuser Detection. Wiley & Sons, Limited, John, 2008.

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Book chapters on the topic "Multiuser communication"

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Huang, Howard, Constantinos B. Papadias, and Sivarama Venkatesan. "Multiuser MIMO." In MIMO Communication for Cellular Networks, 79–120. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-77523-4_3.

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Huang, Howard, Constantinos B. Papadias, and Sivarama Venkatesan. "Suboptimal Multiuser MIMO Techniques." In MIMO Communication for Cellular Networks, 121–57. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-77523-4_4.

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Özbek, Berna, and Didier Le Ruyet. "Feedback Strategies for Multiuser Systems." In Feedback Strategies for Wireless Communication, 165–90. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7741-9_5.

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Wang, Yong, Hao Wu, Liyang Tang, and Yue Zhang. "Relay Precoding for Multiuser Cooperative Communication." In Wireless Communications, Networking and Applications, 3–11. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2580-5_1.

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Özbek, Berna, and Didier Le Ruyet. "Feedback Strategies for Multiantenna Multiuser Systems." In Feedback Strategies for Wireless Communication, 191–246. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7741-9_6.

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Shi-ming, Li, Yang Yuan, Wu Yi-jie, and Kang Chao. "A Multiuser Communication Algorithm for UAV Bee Combat." In Smart Communications, Intelligent Algorithms and Interactive Methods, 21–28. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5164-9_4.

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Csiszár, I. "Some Basic Mathematical Problems of Multiuser Shannon Theory." In Open Problems in Communication and Computation, 29–31. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4808-8_3.

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Freitas, Walter, F. Rafael M. Lima, Ricardo B. Santos, and Francisco R. P. Cavalcanti. "Resource Allocation in Multiuser Multicarrier Wireless Systems with Applications to LTE." In Optimizing Wireless Communication Systems, 187–231. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0155-2_5.

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Yang, Kai, Minwei Shi, Hang Yuan, and Zhitong Ni. "Hybrid Precoding for Wideband Multiuser mmWave Systems." In Millimeter-Wave Communication Systems: Network Analysis and Hybrid Precoding Design, 133–54. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9621-3_7.

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Yang, Kai, Minwei Shi, Hang Yuan, and Zhitong Ni. "Hybrid Precoding for Narrowband Multiuser mmWave Systems." In Millimeter-Wave Communication Systems: Network Analysis and Hybrid Precoding Design, 111–32. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9621-3_6.

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Conference papers on the topic "Multiuser communication"

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Yin Jingwei, Wang Lei, and Chen Kai. "Underwater acoustic wireless multiuser communication." In 2008 IFIP International Conference on Wireless and Optical Communications Networks - (WOCN). IEEE, 2008. http://dx.doi.org/10.1109/wocn.2008.4542501.

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Sornalatha, R., and N. Janakiraman. "Multiuser Visible Light Communication System For Reliable Wireless Communication." In 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2017. http://dx.doi.org/10.1109/iccic.2017.8524159.

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Jie Lian and M. Brandt-Pearce. "Multiuser Visible Light Communications Using OFDMA." In 45th European Conference on Optical Communication (ECOC 2019). Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/cp.2019.0866.

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Whang, Roderick Jaehoon, Huaping Liu, and Een-Kee Hong. "Multiuser Cooperative Relay Communication Employing Hierarchical Modulation." In 2010 IEEE 71st Vehicular Technology Conference. IEEE, 2010. http://dx.doi.org/10.1109/vetecs.2010.5493864.

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Amantayeva, Akniyet, Moldir Yerzhanova, and Refik Caglar Kizilirmak. "Multiuser MIMO for Underwater Visible Light Communication." In 2018 International Conference on Computing and Network Communications (CoCoNet). IEEE, 2018. http://dx.doi.org/10.1109/coconet.2018.8476887.

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Rong-Terng Juang, Kar-Peo Yar, Kun-Yi Lin, and Pangan Ting. "Decentralized multiuser beamforming for cellular communication systems." In 2011 IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2011. http://dx.doi.org/10.1109/wimob.2011.6085390.

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Lian, Jie, and Maite Brandt-Pearce. "Multiuser multidetector indoor visible light communication system." In 2015 Opto-Electronics and Communications Conference (OECC). IEEE, 2015. http://dx.doi.org/10.1109/oecc.2015.7340214.

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Duarte, Azucena, Joao Cal-Braz, and Raimundo Sampaio-Neto. "Index Encoding for GPSM Multiuser MIMO Communication." In 2018 15th International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2018. http://dx.doi.org/10.1109/iswcs.2018.8491046.

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Kumar, Nirul, and Aditya Trivedi. "Precoded opportunistic multiuser detection." In 2012 IEEE International Conference on Communication Systems (ICCS). IEEE, 2012. http://dx.doi.org/10.1109/iccs.2012.6406162.

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Xie, Yao, Yonina C. Eldar, and Andrea Goldsmith. "Reduced-dimension multiuser detection." In 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2010. http://dx.doi.org/10.1109/allerton.2010.5706960.

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Reports on the topic "Multiuser communication"

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Fan, Howard. Wavelet Packets in Wideband Multiuser Communications. Fort Belvoir, VA: Defense Technical Information Center, November 2004. http://dx.doi.org/10.21236/ada428785.

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