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Relevant bibliographies by topics / Multi-user Communication

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Academic literature on the topic 'Multi-user Communication'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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Journal articles on the topic "Multi-user Communication"

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Heijenk, G. J., Xinli Hou, and I. G. Niemegeers. "Communication systems supporting multimedia multi-user applications." IEEE Network 8, no. 1 (January 1994): 34–44. http://dx.doi.org/10.1109/65.260077.

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Avner, Orly, and Shie Mannor. "Multi-User Communication Networks: A Coordinated Multi-Armed Bandit Approach." IEEE/ACM Transactions on Networking 27, no. 6 (December 2019): 2192–207. http://dx.doi.org/10.1109/tnet.2019.2935043.

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Moon, T. K., Zhenhua Xie, C. K. Rushforth, and R. T. Short. "Parameter estimation in a multi-user communication system." IEEE Transactions on Communications 42, no. 8 (1994): 2553–60. http://dx.doi.org/10.1109/26.310615.

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Li, Ruijie, and Anhong Dang. "Multi-user access in wireless optical communication system." Optics Express 26, no. 18 (August 20, 2018): 22658. http://dx.doi.org/10.1364/oe.26.022658.

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Abdalla, Iman, Michael B. Rahaim, and Thomas D. C. Little. "Interference in multi-user optical wireless communications systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2169 (March 2, 2020): 20190190. http://dx.doi.org/10.1098/rsta.2019.0190.

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Visible light communications (VLC) (including LiFi) represent a subset of the broader field of optical wireless communications. Where narrow beams, typical of free space optical communications are largely free from interference. VLC encompasses use cases involving combined illumination and data access and supporting a wireless access point (AP) model. The use of many units provides scaling of spatial coverage for both lighting and data access. However, AP replication in close proximity creates many interference challenges that motivate the investigation embodied in this paper. In particular, we frame the interference challenge in the context of existing strategies for driving improvements in link performance and consider the impacts of multiple users, multiple sources and multiple cells. Lastly, we review the state of existing research in this area and recommend areas for further study. This article is part of the theme issue ‘Optical wireless communication’.

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Singh, Kundan. "User Reachability in Islands of WebRTC Communication Apps." International Journal of Semantic Computing 10, no. 01 (March 2016): 73–99. http://dx.doi.org/10.1142/s1793351x16400043.

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Recent progress in Web Real-Time Communication (WebRTC) promotes multi-apps environment by creating islands of communication apps where users of one website or service cannot easily communicate with those of another. We describe the architecture and implementation of a multi-platform system to do user reachability in multiple communication services where users decide how they want to be reached on multiple apps, e.g. in an organization that has voice-over-IP, web conferencing and messaging from different vendors. We argue for user and endpoint driven reachability policies and cross-app interactions, instead of pair-wise service federation or global location service. Our architecture separates the user contacts from reachability apps, and has several independent and non-interoperable WebRTC-based apps for two-way and multi-party multimedia communication. Our software is implemented using HTML5 and JavaScript, and using a cross-platform development tool, runs as native apps on mobile as well as personal computers. Our flexible implementation can be used for enterprise or personal communications, or as a white-labeled app for consumers of a business.

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Bai, Zhiquan, Yingyan Su, Na Zhang, and Qi Zhang. "User-relay Assignment based Antenna Selection Scheme in Multi-user Multi-relay AF Cooperative Communication Network." Mobile Networks and Applications 23, no. 6 (December 16, 2017): 1513–21. http://dx.doi.org/10.1007/s11036-017-0984-9.

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YAMAMOTO, Shion, Kenya UMETSU, Rino KABURAGI, and Naoyuki KUBOTA. "User-Friendly Smart Recommendation Based on Multi-Robot Communication." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 32, no. 6 (December 15, 2020): 964–74. http://dx.doi.org/10.3156/jsoft.32.6_964.

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Alvi, Sheeraz A., Xiangyun Zhou, Salman Durrani, and Duy Trong Ngo. "Sequencing and Scheduling for Multi-User Machine-Type Communication." IEEE Transactions on Communications 68, no. 4 (April 2020): 2459–73. http://dx.doi.org/10.1109/tcomm.2020.2967745.

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Alansi, Mohammed, Ibrahim Elshafiey, Abdulhameed Al-Sanie, and Md Anowar Hossain. "Multi-User Detection for Radar and Communication Multifunction System." Journal of Circuits, Systems and Computers 24, no. 03 (February 10, 2015): 1550038. http://dx.doi.org/10.1142/s0218126615500383.

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A multifunctional system that performs synthetic aperture radar (SAR) and communication tasks is presented. The system depends on orthogonal frequency division multiplexing (OFDM) waveform shaping and multiple input multiple output (MIMO) configuration to achieve enhancement in the spectral efficiency of communication operation and provide interference rejection in SAR imaging. The SAR interval idle time is utilized to enhance the communication signal through diversity. Adaptive system features are introduced to achieve multi-user detection and improve the communication reliability, by means of space division multiple access (SDMA) and space–time block coding (STBC). Investigations of linear and nonlinear multi-user detection (MUD) techniques are provided. Moreover, a genetic algorithm-based system is developed to optimize the MUD problem and to provide near-optimal performance even for overloaded scenarios. A gain of more than 4 dB is achieved at bit error rate of 10-2.

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Dissertations / Theses on the topic "Multi-user Communication"

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Hijazi, Samer L. "Multi-user detection for multi-carrier communication systems." Diss., Manhattan, Kan. : Kansas State University, 2006. http://hdl.handle.net/2097/147.

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Gheitanchi, Shahin. "Collaborative multi-Carrier communication techniques for multi-user systems." Thesis, University of Sussex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499569.

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Developing robust techniques for fast growing multi-user networks in pervasive environments is an important challenge. Multi-carrier communication is an established technique for achieving superior performance in multi-path frequency selective fading channels. In this thesis, new multi-carrier multiple access techniques using collaborative and cooperative approaches are proposed for multi-user systems in fading environments.

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Price, Jennifer Elizabeth. "Resource allocation in multi-user communication systems." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3266771.

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Thesis (Ph. D.)--University of California, San Diego, 2007.
Title from first page of PDF file (viewed August 7, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 134-140).

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Sin, Chun Yin. "Performance analysis of multi-user wireless network /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?ECED%202006%20SIN.

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Girnyk, Maksym. "Cooperative communication for multi-user cognitive radio networks." Licentiate thesis, KTH, Kommunikationsteori, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-96794.

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In recent years, the main trend in wireless communications has been shifted from voice transmission to data-centric communication. This shift has caused an increase in the data rate requirements for future wireless communication systems. These requirements result in need for large bandwidth. Being a limited and thus expensive resource, wireless spectrum needs to be used efficiently. For higher spectral efficiency, new transmission techniques as well as new dynamic spectrum-allocationpolicies are needed. Cognitive radio is a promising approach for increasing spectral efficiency of wireless systems. By exploiting advanced signal processing techniques and sophisticated transmission schemes, cognitive radio devices allow to serve new wireless users within the existing crowded spectrum. Typically, a cognitive radio network is installed in parallel to an existing primary network, a legacy owner of the spectrum. The cognitive radio network adapts to its electro-magnetic environment in order to limit or even avoid the disturbance to the primary network. This thesis focuses on the underlay cognitive radio paradigm, which assumes that both the primary network and the ad hoc cognitive radio network operate within the same time and frequency band, as well as at the same geographic location. The cognitive network is able to estimate the interference caused to the primary network by means of channel training and possible feedback. This knowledge is then used to adjust the cognitive network’s transmissions in such a way that the disturbance to the primary network is below some acceptable threshold. In the first part of the thesis, we discuss the multi-hop line cognitive networks, in which the information content before reaching its destination passes through several hops from node to node within the cognitive network. In this way, transmission power at the source terminal may be decreased, thus producing less interference to the primary network. Moreover, the powers at each terminal within the cognitive network may be optimally allocated so that the interference constraint at the primary network is satisfied. This power allocation can be realized in both centralized and decentralized ways, depending on the available information about the channel state. We discuss both of these allocations subject to different interference constraints employed at the primary network. In the second part of the thesis, we discuss the reliability of transmission within the line cognitive ad hoc networks in terms of outage probability and diversity. We also illustrate the benefit of network coding for such networks and provide a heuristic algorithm for optimal scheduling. In the final part of the thesis, we study the uplink relay-assisted cellular cognitive radio scenario. Both, the cognitive network and the primary network, contain a set of multi-antenna users that communicate with a corresponding base station. The users create mutual interference and hence limit each other’s performance. Using certain mathematical tools originally developed within the field of statistical physics, we are able derive a closed-form expression for the ergodic mutual information for arbitrary channels inputs, which enables characterization of the achievable rate region of such scenario.

QC 20120612

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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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Jagannathan, Sumanth. "Interference and outage optimization in multi-user multi-carrier communication systems /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Seong, Kibeom. "Cross-layer resource allocation for multi-user communication systems /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Nguyen, Hung. "Network coding for cooperative multi-user wireless communication systems." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/353262/.

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In the first chapter, Space Time Trellis Codes (STTCs), Space Time Block Codes (STBCs)and Sphere-Packing-Space-Time Block Codes (SP-STBC) are reviewed. These schemes belong to the specific family of Multi-Input Multi-Output (MIMO) systems designed for achieving a diversity gain. The performance of the SP-STBC scheme is compared to other coded conventional modulation systems, namely to that of STBC-Phase Shift Keying or Quadrature Amplitude Modulation (STBC-PSK/QAM) and to that of STTC-Phase Shift Keying or Quadrature Amplitude Modulation (STTC-PSK/QAM). The rest of this chapter reviews other preliminaries pertaining to the context of cooperative communications and network coding. In Chapter 2, an in-depth study of the capacity and outage probability of the Continuous-input Continuous-output Memoryless Channel (CCMC), Discrete-input Continuous-output Memoryless Channel (DCMC) and of Differential Discrete-input Continuous-output Memoryless Channel (DDCMC) is presented. The study also considers various propagation phenomena, namely the smallscale fading and the large-scale fading. The frame-length is also taken into consideration when calculating the achievable throughput and outage probability, which serve as useful benchmarks for our near-capacity coding schemes. Extrinsic Information Transfer (EXIT) charts are used for designing Irregular Convolutional Coded Unity Rate Coded M-ary Phase Shift Keying (IrCC-URCMPSK), Irregular Convolutional Coded Unity Rate Coded Differential M-ary Shift Keying (IrCCURC-DMPSK) and Irregular Convolutional Coded Unity Rate Coded Space Time Trellis Coded M-ary Phase Shift Keying (IrCC-URC-STTC-MPSK) schemes. In Chapter 3, a novel Distributed Concatenated IrCC-URC-STTC (DC-IrCC-URC-STTC) scheme is proposed for cooperative single-user systems relying on single-antenna aided relays, based on the studies conducted in Chapter 1 and Chapter 2. In this contribution, each coding arrangement of the entire DC-IrCC-URC-STTC scheme is designed for achieving decoding convergence to a vanishingly low Bit Error Ratio (BER) by employing non-binary EXIT-charts. Additionally, the EXIT charts are employed for calculating the most appropriate positions of the relays by ensuring that decoding convergence to a vanishingly low BER occurs at a similar Signal-to-Noise Ratio (SNR) both at the relays and at the destination. In Chapter 4, Multi-User Cooperative Communications is designed for supporting M users with the aid of near-capacity network coding. We first derive the upper and lower Frame Error Ratio (FER) performance bounds of cooperative multi-user communications systems using network coding. Then, we investigate Near-Capacity Multi-user Network-coding (NCMN) based systems using the IrCC-URC-MPSK scheme of Chapter 2. In parallel to the investigation of coherent NCMN systems, we also explored Near-capacity Non-coherent Cooperative Network-coding aided Multi-user (NNCNM) based systems using the IrCC-URC-DMPSK, which do not require channel estimation at the receiver’s side. This reduces the complexity imposed, albeit this is achieved at a 3 dB SNR-loss. Moreover, a new technique referred to as the Pragmatic Algebraic Linear Equation Method (PALEM) was proposed for exactly determining the number of information sources that may be recovered from the composite NCMN stream, which results in a more accurate evaluation of the attainable FER performance of the NCMN and NNCNM based systems. The design principles presented in this contribution can be extended to a vast range of NCMN and NNCNM based systems using arbitrary channel coding schemes. In Chapter 5, the NCMN and NNCNM based systems of Chapter 4 are generalised for introducing the Generalised NCMN (GNCMN) system, which has a multi-layer architecture and it is capable of operating in multiple modes. More specifically, the GNCMN system may operate upon employing either individually or in a combined fashion using a single Channel Coding (CC) layer plus two network coding layers, namely Network Coding 1 (NC1) and Network Coding 2 (NC2). Additionally, the GNCMN system is capable of simultaneously exploiting the advantages of all the modes available in each layer of the system as well as appropriately combining the advantageous modes across all the three layers. Finally, in Chapter 6, the summary of our findings are presented in order to facilitate our discussions on future research.

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Sharma, Vimal. "Multi-user spatial diversity techniques for wireless communication systems." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/34905.

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Multiple antennas at the transmitter and receiver, formally known as multiple-input multiple-output (MIMO) systems have the potential to either increase the data rates through spatial multiplexing or enhance the quality of services through exploitation of diversity. In this thesis, the problem of downlink spatial multiplexing, where a base station (BS) serves multiple users simultaneously in the same frequency band is addressed. Spatial multiplexing techniques have the potential to make huge saving in the bandwidth utilization. We propose spatial diversity techniques with and without the assumption of perfect channel state information (CSI) at the transmitter. We start with proposing improvement to signal-to-leakage ratio (SLR) maximization based spatial multiplexing techniques for both fiat fading and frequency selective channels.

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Books on the topic "Multi-user Communication"

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Koichi, Kurumatani, Chen Shu-Heng 1959-, and Ohuchi Azuma, eds. Multi-agent for mass user support: International workshop, MAMUS 2003, Acapulco, Mexico, August 10, 2003 : revised and invited papers. Berlin: Springer, 2004.

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International Workshop on Information Theory "Convolutional Codes: Multi-user Communication (3rd 1987 Sochi, Russia). Tretiĭ Mezhdunarodnyĭ seminar po teorii informat͡s︡ii "Svertochnye kody: svi͡a︡z s mnogimi polʹzovateli͡a︡mi": Tezisy dokladov = Third International Workshop on Information Theory "Convolutional Codes: Multi-user Communication" : abstracts of papers. Sochi: Akademii͡a︡ nauk SSSR, In-t problemy peredachy informat͡s︡ii, 1987.

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Hanzo, L., M. Münster, B. J. Choi, and T. Keller. OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting. Chichester, West Sussex, England: John Wiley & Sons, Ltd, 2003. http://dx.doi.org/10.1002/9780470861813.

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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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1952-, Hanzo Lajos, ed. OFDM and MC-CDMA for broadband multi-user communications, WLANs, and broadcasting. [Piscataway, N.J.]: IEEE Press, 2003.

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(Editor), Georgios B. Giannakis, Yingbo Hua (Corporate Author), Petre Stoica (Editor), and Lang Tong (Editor), eds. Signal Processing Advances in Wireless and Mobile Communications, Volume 2: Trends in Single- and Multi-User Systems. Prentice Hall PTR, 2000.

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(Editor), Georgios B. Giannakis, Yingbo Hua (Corporate Author), Petre Stoica (Editor), and Lang Tong (Editor), eds. Signal Processing Advances in Wireless and Mobile Communications, Volume 2: Trends in Single- and Multi-User Systems. Prentice Hall PTR, 2000.

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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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(Editor), Koichi Kurumatani, Shu-Heng Chen (Editor), and Azuma Ohuchi (Editor), eds. Multi-Agent for Mass User Support: International Workshop, MAMUS 2003Acapulco, Mexico, August 10, 2003Revised and Invited Papers (Lecture Notes in Computer ... / Lecture Notes in Artificial Intelligence). Springer, 2004.

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OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting. New York: John Wiley & Sons, Ltd., 2005.

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Book chapters on the topic "Multi-user Communication"

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Gründinger, Andreas. "Multi-User Downlink Communication." In Statistical Robust Beamforming for Broadcast Channels and Applications in Satellite Communication, 1–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29578-3_1.

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Speidel, Joachim. "Principles of Multi-user MIMO Transmission." In Signals and Communication Technology, 269–91. Cham: 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, 305–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_20.

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Kazemitabar, Seyed Javad. "Multi-User Communication and Interference Cancellation." In Coping with Interference in Wireless Networks, 9–29. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-9990-7_2.

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Nagar, Shailabh, Dale Seed, and Anand Sivasubramaniam. "Implementing protected multi-user communication for Myrinet." In Lecture Notes in Computer Science, 30–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0052205.

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Jovic, Branislav. "Introduction to Multi-user Mobile Communication Systems." In Synchronization Techniques for Chaotic Communication Systems, 1–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21849-1_1.

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Jovic, Branislav. "Chaos Based Multi-user TDM Communication System." In Synchronization Techniques for Chaotic Communication Systems, 229–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21849-1_8.

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Jovic, Branislav. "Chaotic Synchronization Based Multi-user TDM Communication Systems." In Synchronization Techniques for Chaotic Communication Systems, 257–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21849-1_9.

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Hu, Jie, and Kun Yang. "Joint Time Allocation and User Scheduling in a Full- Aided Multi-user DEIN." In Data and Energy Integrated Communication Networks, 55–69. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0116-2_4.

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Bridge, P. "Collaborative Coding for Optical Fibre Multi-User Channels." In Performance Limits in Communication Theory and Practice, 99–111. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2794-0_6.

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Conference papers on the topic "Multi-user Communication"

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Beran, Vítězslav. "Augmented multi-user communication system." In the working conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/989863.989907.

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Aveta, Federica, Hazem H. Refai, and Peter LoPresti. "Multi-user FSO communication link." In 2017 Cognitive Communications for Aerospace Applications Workshop (CCAA). IEEE, 2017. http://dx.doi.org/10.1109/ccaaw.2017.8001890.

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Vinck, A. J. H., and Bin Dai. "Multi-user power-line communication." In 2013 IEEE 17th International Symposium on Power Line Communications and its Applications (ISPLC). IEEE, 2013. http://dx.doi.org/10.1109/isplc.2013.6525817.

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Basnayaka, Dushyantha A., and Tharmalingam Ratnarajah. "Multi-user Communication in Difficult Interference." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8682388.

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Aveta, Federica, Hazem H. Refai, and Peter LoPresti. "Multi-user detection in optical wireless communication." In 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2019. http://dx.doi.org/10.1109/iwcmc.2019.8766712.

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Stavrakakis, I., and D. Kazakos. "A non-homogeneous user population multi-user random access communication system." In 26th IEEE Conference on Decision and Control. IEEE, 1987. http://dx.doi.org/10.1109/cdc.1987.272461.

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Hayashi, Yuji, Ilmiawan Shubhi, and Hidekazu Murata. "User Collaboration for Interference Cancellation on Multi-User MIMO Communication Systems." In 2015 IEEE 82nd Vehicular Technology Conference (VTC Fall). IEEE, 2015. http://dx.doi.org/10.1109/vtcfall.2015.7391186.

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Mao, Yijie, Sobia Jangsher, James J. Q. Yu, and Victor O. K. Li. "Joint relay and user selection for two-hop multi-relay multi-user MIMO systems." In 2016 IEEE International Conference on Communication Systems (ICCS). IEEE, 2016. http://dx.doi.org/10.1109/iccs.2016.7833597.

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Chua, Wee Seng, Chau Yuen, and Francois Chin. "A Continuous Vector-Perturbation for Multi-Antenna Multi-User Communication." In 2007 IEEE 65th Vehicular Technology Conference. IEEE, 2007. http://dx.doi.org/10.1109/vetecs.2007.375.

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Kaddoum, Georges, Francois-Dominique Richardson, Sarra Adouni, Francois Gagnon, and Claude Thibeault. "Multi-user Multi-Carrier Differential Chaos Shift Keying communication system." In 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/iwcmc.2013.6583829.

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Reports on the topic "Multi-user Communication"

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Kazakos, D., and I. Stavrakakis. A Multi User Random Access Communication System for Users with Different Priorities. Fort Belvoir, VA: Defense Technical Information Center, February 1987. http://dx.doi.org/10.21236/ada186041.

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Stavrakakis, I., and D. Kazakos. On the Approximation of the Output Process of Multi-User Random Access Communication Networks. Fort Belvoir, VA: Defense Technical Information Center, June 1987. http://dx.doi.org/10.21236/ada186197.

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