Download or read book Lattice Reduction Based User Selection in Multiuser MIMO Systems written by Qiaoyu Li and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Lattice Reduction-Based User Selection in Multiuser MIMO Systems.

Download or read book Low Complexity MIMO Detection written by Lin Bai and published by Springer Science & Business Media. This book was released on 2012-01-07 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Low Complexity MIMO Detection introduces the principle of MIMO systems and signal detection via MIMO channels. This book systematically introduces the symbol detection in MIMO systems. Includes the fundamental knowledge of MIMO detection and recent research outcomes for low complexity MIMO detection.

Download or read book Recent Trends in Multi user MIMO Communications written by Maha Ben Zid and published by BoD – Books on Demand. This book was released on 2013-12-04 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasis on multi-user MIMO communication. It covers a collection of the major topics and issues in multi-user MIMO systems. Recent Trends in Multi-user MIMO Communications provides a tutorial overview of the latest technologies and research keys related to multi-user communication. This book is composed of seven chapters, each written by a different set of authors. Features include: Fundamentals of multi-user MIMO communication, Random Beamforming in multi-user MIMO systems, LTE and LTE-Advanced framework, Interference cancellation in multi-user MIMO systems, Incorporation of multi-user capabilities in IEEE 802.11n/ac for WLAN systems, Physical layer security for multi-user MIMO communication, User selection based error probability of MIMO detector in multi-user MIMO systems.

Download or read book Low Complexity MIMO Receivers written by Lin Bai and published by Springer Science & Business Media. This book was released on 2014-03-13 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple-input multiple-output (MIMO) systems can increase the spectral efficiency in wireless communications. However, the interference becomes the major drawback that leads to high computational complexity at both transmitter and receiver. In particular, the complexity of MIMO receivers can be prohibitively high. As an efficient mathematical tool to devise low complexity approaches that mitigate the interference in MIMO systems, lattice reduction (LR) has been widely studied and employed over the last decade. The co-authors of this book are world's leading experts on MIMO receivers, and here they share the key findings of their research over years. They detail a range of key techniques for receiver design as multiple transmitted and received signals are available. The authors first introduce the principle of signal detection and the LR in mathematical aspects. They then move on to discuss the use of LR in low complexity MIMO receiver design with respect to different aspects, including uncoded MIMO detection, MIMO iterative receivers, receivers in multiuser scenarios, and multicell MIMO systems.

Download or read book A POMDP Framework for Antenna Selection and User Scheduling in Multi user Massive MIMO Systems written by Sara Sharifi and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We use a partially observable Markov decision process (POMDP) framework to design a resource allocation policy for downlink transmit beamforming at a multi-antenna BS that is equipped with a massive number of antennas and only a limited number of RF chains. Considering that channels evolve according to a Markov process and that only partial CSI is available, we use a POMDP framework for antenna selection with the aim to maximize the expected long-term data rate. To avoid the high computational complexity of the value iteration algorithm, we focus on the myopic policy to design a simple yet optimal algorithm. We prove that in the case of a positively correlated two-state Markov channel model, the myopic policy is optimal for antenna selection (for both in massive MISO and MU-MIMO systems) for any number of RF chains. Based on this finding, for general fading channels, we propose to quantize each channel into two levels and apply the myopic policy for antenna selection. Our simulation results show that using this two-level channel quantization for antenna selection results in only a small loss in performance, as compared to the antenna selection technique which use full CSI without quantization. We then utilize a POMDP framework to formulate the joint antenna selection and user scheduling (JASUS) problem for a BS, equipped with a limited number of RF chains that is to serve a large number of single-antenna users in a cell. To do so, we assume that the users are served in a frame, where each frame contains of a finite number of time slots. At the beginning of each frame, given that only partial CSI is available, the BS schedules each user to a time slot, and selects a subset of antennas to serve the scheduled users at that time slot. Considering a positively correlated two-state channel model, we prove the optimality of the myopic policy for our JASUS problem. For Rayleigh fading channels, we devise a low-complexity JASUS algorithm for massive MU-MIMO systems.

Download or read book Resource Allocation for OFDMA Systems written by Chen Chen and published by Springer. This book was released on 2019-06-29 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the sources and historic collection campaigns of resource allocation in wireless communication systems. The unique characteristics of MIMO-OFDMA systems are thoroughly studied and summarized. Remarks on resource allocation and spectrum sharing are also presented, which demonstrate the great value of resource allocation techniques, but also introduce distinct challenges of resource allocation in MIMO-OFDMA systems. Novel resource allocation techniques for OFDMA Systems are surveyed from various applications (e.g., for unicast, or multicast with Guaranteed BER and Rate, subcarrier and power allocation with various detectors, low-complexity energyefficient resource allocation, etc.) in this book. Due to the high mobility and low latency requirements of 5G wireless communications, this book discusses how to deal with the imperfect CSI. It also discusses how to deal with e.g., throughput maximization, outage probabilities maximization and guarantee, energy efficiency, physical-layer security issues with feedback channel capacity constraints, in order to characterize and understand the applications of practical scenes. This book will target professionals & researchers working in the fields of Wireless Communications and Networking, Resource Allocation and Transmissions. Advanced-level students in electrical engineering and computer science will also find this book useful as a secondary textbook.

Download or read book 1 Bit Precoding with Gain Controlled Lattice Reduction for Massive Multi user MIMO Systems written by Yen-Yi Fang and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Trends in Wireless Communication and Information Security written by Mithun Chakraborty and published by Springer Nature. This book was released on 2021-04-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected papers presented at the International Conference on Emerging Wireless Communication Technologies and Information Security (EWCIS 2020), held from 8th & 9th October 2020 at Amity University Jharkhand, Ranchi, India. The book includes papers in the research area of wireless communications and intelligent systems, signal and image processing in engineering applications, data communication and information security, IoT and cloud computing. The contribution ranges from scientists, engineers and technologists from academia as well as from industry.

Download or read book WiMAX Evolution written by Marcos Katz and published by John Wiley & Sons. This book was released on 2009-04-27 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the evolutionary and visionary developments of WiMAX! WiMAX Evolution: Emerging Technologies and Applications focuses on the future developments of WiMAX technology. The book discusses the evolutionary aspects of WiMAX, from the physical to the application layer, including visions from industry, standardization and research communities. Several chapters of the book will present very new and unique information as editors and their respective organizations are involved in ongoing international projects on WiMAX, developing advanced WiMAX techniques. The Editors’ in-house WiMAX test-beds enhance the book with privileged and seldom published information on practical issues. Key features: Presents evolutionary and visionary developments of WiMAX, motivating and inspiring readers to join and continue the developing work Contains chapters with previously unpublished material, including measurements on real WiMAX equipment and their validation, and introduction of robust header compression in WiMAX, and more Unique results on real WiMAX test-beds Covers WiMAX validation, novel scenarios, applications and business, advanced WiMAX architectures, WiMAX extensions, and WiMAX evolution and future developments Expert authorship with a balanced mix of contributions from highly regarded professionals from top research institutes, industry and academia This book is an invaluable resource for product developers, research and standardization engineers in industry, professors, research scientists and advanced students in academia. Technology managers and CTOs will also find this book insightful.

Download or read book Massive MIMO in 5G Networks Selected Applications written by Long Zhao and published by Springer. This book was released on 2017-12-21 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief focuses mainly on the basic theory and applications of massive MIMO in 5G networks. The significance of massive MIMO for 5G or future communications is first briefly discussed. Then, the basic theory of massive MIMO technology is comprehensively analyzed, i.e., a variety of 5G scenarios and their improvements are described when massive MIMO is taken into account. Art physical-layer techniques and various networking techniques for interference mitigation and resource scheduling are introduced as well. This SpringerBrief also examines the selected applications of massive MIMO in 5G networks, i.e., massive MIMO-aided millimeter communications and energy transfer. The physical-layer design, multiple access control (MAC) mechanism and networking techniques are discussed for millimeter-wave communications aided by massive MIMO technology. Then, massive MIMO is covered for hybrid information and energy transfer. A downlink precoder and a uplink pilot scheme is proposed for single cell networks, and both non-cooperative and cooperative energy transfer in multi-cell are presented. Communication researchers in the area of MIMO technology, as well as researchers and practitioners working in millimeter communications and energy transfer seeking new research topics, and topic areas with communication system design, centralized and distributed algorithms, will find this brief useful as a reference. Advanced-level students studying communication engineering will also find this book useful as a secondary text.

Download or read book MIMO Wireless Networks written by Bruno Clerckx and published by Academic Press. This book was released on 2013-01-23 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is unique in presenting channels, techniques and standards for the next generation of MIMO wireless networks. Through a unified framework, it emphasizes how propagation mechanisms impact the system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach to space-time signal processing, the book progressively derives innovative designs for space-time coding and precoding as well as multi-user and multi-cell techniques, taking into consideration that MIMO channels are often far from ideal.Reflecting developments since the first edition was published, this book has been thoroughly revised, and now includes new sections and five new chapters, respectively dealing with receiver design, multi-user MIMO, multi-cell MIMO, MIMO implementation in standards, and MIMO system-level evaluation. Extended introduction to multi-dimensional propagation, including polarization aspects Detailed and comparative description of physical models and analytical representations of single- and multi-link MIMO channels, covering the latest standardized models Thorough overview of space-time coding techniques, covering both classical and more recent schemes under information theory and error probability perspectives Intuitive illustration of how real-world propagation affects the capacity and the error performance of MIMO transmission schemes Detailed information theoretic analysis of multiple access, broadcast and interference channels In-depth presentation of multi-user diversity, resource allocation and (non-)linear MU-MIMO precoding techniques with perfect and imperfect channel knowledge Extensive coverage of cooperative multi-cell MIMO-OFDMA networks, including network resource allocation optimization, coordinated scheduling, beamforming and power control, interference alignment, joint processing, massive and network MIMO Applications of MIMO and Coordinated Multi-Point (CoMP) in LTE, LTE-A and WiMAX Theoretical derivations and results contrasted with practical system level evaluations highlighting the performance of single- and multi-cell MIMO techniques in realistic deployments

Download or read book Spatial Multidimensional Cooperative Transmission Theories And Key Technologies written by Lin Bai and published by World Scientific. This book was released on 2020-08-24 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the basic theory and key technologies of MIMO multi-antenna system, the characteristics and applications of spatial multi-dimensional cooperative transmission in the Ground-based, Air-based and Space-based communication systems as well as several advanced technologies for spatial multidimensional cooperative transmission from theoretical and practical perspectives. The Chinese edition of this book won the 4th Chinese Government Award for Publishing, and the authors are well known in the field of Spatial Information Network.

Download or read book Precoding for Multiuser MIMO Systems with Multiple Base Stations written by Imad Azzam and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Distributed Antenna Systems written by Yan Zhang and published by CRC Press. This book was released on 2007-06-27 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid growth in mobile communications has led to an increasing demand for wideband high data rate communications services. In recent years, the Distributed Antenna System (DAS) has emerged as a promising candidate beyond 3G and 4G mobile communications. Distributed Antenna Systems: Open Architecture for Future Wireless Communications is

Download or read book Transmit Antenna Selection and User Selection in Multiuser MIMO Downlink Systems written by Mohammed Al-Shuraifi and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Performance Evaluation of Low complexity Multi cell Multi user MIMO Systems written by Jun Zhu and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of utilizing multiple antennas (MIMO) has emerged as one of the significant breakthroughs in modern wireless communications. MIMO techniques canimprove the spectral efficiency of wireless systems and provide significant throughputgains. As such, MIMO will be increasingly deployed in future wireless systems. Onthe other hand, in order to meet the increasing demand for high data rate multimediawireless services, future wireless systems are evolving towards universal frequencyreuse, where neighboring cells may utilize the same radio spectrum. As such, the performanceof future wireless systems will be mainly limited by inter-cell interference(ICI). It has been shown that the throughput gains promised by conventional MIMOtechniques degrade severely in multi-cell systems. This definitely attributes to theexistence of the ICI. A lot of related work has been performed on the ICI mitigation or cancellationstrategies, in multi-cell MIMO systems. Most of them assume that the channel andeven data information is available at the collaborating base stations (BSs). Differentfrom the previous work, we are looking into certain low-complexity codebook-basedmulti-cell multi-user MIMO strategies. For most of our work, we derive the statisticsof the selected user's signal-to-interference-and-noise-ratio (SINR), which enable us tocalculate the achieved sum-rate accurately and e ciently. With the derived sum-rateexpressions, we evaluate and compare the sum-rate performance for several proposedlow-complexity ICI-mitigation systems with various system parameters for single-userper-cell scheduling case. Furthermore, in order to fully exploit spatial multiplexing gain, we are consideringmulti-user per-cell scheduling case. Based on the assumption that all CSI includingintra-cell and inter-cell channels are available at each BS, we rstly look into the centralizedoptimization approach. Typically, since the sum-rate maximization problemis mostly non-convex, it is generally di cult to obtain the globally optimum solution. Through certain approximation and relaxations, we successfully investigate aniterative optimization algorithm which exploits the second-order cone programming(SOCP) approach. From the simulation results, we will observe that the iterativeoption can provide near-optimum sum capacity, although only locally optimized. Afterwards, inspired by the successful application of Per-User Unitary Rate Control(PU2RC) scheme, we manage to extend it into dual-cell environment, with limitedcoordination between two cells.

Download or read book Adapting MIMO Networks to Manage Interference written by Jun Zhang (Ph. D.) and published by . This book was released on 2009 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple-Input Multiple-Output (MIMO) communication uses multiple transmit and receive antennas to improve the throughput in wireless channels. In cellular networks, self-interference greatly degrades MIMO's potential gain, especially in multiuser MIMO systems where multiple users in each cell share the spatial channel in order to maximize the total throughput. In a multiuser MIMO downlink, the two main causes of this self-interference are residual inter-user interference due to imperfect spatial separation between the users and other-cell interference due to cochannel transmissions in other cells. This dissertation develops adaptive transmission strategies to deal with both residual inter-user interference and other-cell interference in cellular MIMO networks. For the residual inter-user interference caused by imperfect channel state information at the transmitter, we explicitly characterize the impact of channel quantization and feedback delay. Achievable ergodic rates for both single-user and multiuser MIMO systems with different channel state information are derived. Adaptive switching between single-user and multiuser MIMO modes is proposed to improve the throughput, based on the accuracy of the available channel information. It is then extended to a multi-mode transmission strategy which adaptively adjusts the number of active users to control residual interference and provide additional array gain. To adaptively minimize the other-cell interference, two practical base station coordination strategies are proposed. The first is a cluster based coordination algorithm with different coordination strategies for cluster interior and cluster edge users. It performs full intra-cluster coordination for enhancing the sum throughput and limited inter-cluster coordination for reducing the interference for cluster edge users. A multi-cell linear precoder is designed to perform the coordination. The second is an adaptive intercell interference cancellation strategy, where multiple base stations jointly select transmission techniques based on user locations to maximize the sum throughput. Spatial interference cancellation is applied to suppress other-cell interference. Closed-form expressions are derived for the achievable throughput, and the proposed adaptive strategy is shown to provide significant average and edge throughput gain. The feedback design to assist the interference cancellation is also discussed.