Current and future broadband cellular systems have to employ efficient techniques for the transmission and reception of high speed data. Equipping transmitters and receivers with multiple-antennas is a major step in this direction as it has the potential of providing a substantial spatial multiplexing gain. Unfortunately, interference from adjacent cells is an impediment to the spatial multiplexing gain promised by MIMO techniques. There exist solutions to mitigate the inter-cell interference in MIMO cellular systems, the most promising being coordinated multi-point (CoMP) transmission/reception (also known as network MIMO) and large-scale MIMO (also known as massive MIMO). The focus of this thesis is on multi-user MIMO techniques including precoding and user scheduling for large-scale and cooperative MIMO wireless systems. In this study, we design and analyze a near capacity-achieving non-linear precoding technique relying on vector perturbation (VP) along with a fair user scheduling algorithm for joint transmission network MIMO (usually operating in the frequency division duplex (FDD) mode). We consider practical conditions such as imperfect channel state information (CSI) due to the backhaul delay and per-base station (per-BS) power constraints. In addition, we propose an optimal VP technique minimizing the mean square error (MSE) of the received signal subject to per-BS power constraints. Although the array virtualization of network MIMO reduces the inter-cell interference to some extent (depending on the cluster size of coordinated BSs), the increase in transmit antenna array size is limited by the fading block length (coherence time of the radio channel). In the time division duplex (TDD) mode, the story is different thanks to the channel reciprocity. Massive MIMO or large-scale MIMO is a transmission/reception scheme for multi-cell MIMO, which works in the TDD mode and involves BSs, each with a large number of antennas, much larger than the number of users per cell. In this study, we design and analyze a non-linear precoding technique employing time domain VP (TDVP) for a large-scale (massive) MIMO system. To analyze the system we employ random matrix methods to avoid time-consuming Monte-Carlo simulations and get better insight into the problem. In addition, we propose a practical approach to mitigating pilot contamination for massive MIMO through a joint clustering and pilot reuse scheme. We propose pilot contamination precoding (PCP) as outer linear precoding prior to conventional precoding through a cooperative transmission scheme with three BSs involved in the coordination cluster.

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.

Written in an easy-to-follow, tutorial style, this complete guide will allow students to quickly understand the key principles, techniques and applications of MIMO wireless communications. Important concepts such as MIMO channel models, power allocation and channel capacity, space-time codes, MIMO detection and antenna selection are covered in detail, providing practical insights into the world of modern telecommunication systems. The most up-to-date techniques are explained, with examples including spatial modulation, MIMO-based cooperative communications, large-scale MIMO systems, massive MIMO and space-time block coded spatial modulation. Supported by numerous solved examples, review questions, MATLAB problems and lecture slides, and including all the necessary mathematical background, this is an ideal text for students taking graduate, single-semester courses in wireless communications.

MIMO-OFDM for LTE, WIFI and WIMAX: Coherent versus Non-Coherent and Cooperative Turbo-Transceivers provides an up-to-date portrayal of wireless transmission based on OFDM techniques augmented with Space-Time Block Codes (STBCs) and Spatial-Division Multiple Access (SDMA). The volume also offers an in-depth treatment of cutting-edge Cooperative Communications. This monograph collates the latest techniques in a number of specific design areas of turbo-detected MIMO-OFDM wireless systems. As a result a wide range of topical subjects are examined, including channel coding and multiuser detection (MUD), with a special emphasis on optimum maximum-likelihood (ML) MUDs, reduced-complexity genetic algorithm aided near-ML MUDs and sphere detection. The benefits of spreading codes as well as joint iterative channel and data estimation are only a few of the radical new features of the book. Also considered are the benefits of turbo and LDPC channel coding, the entire suite of known joint coding and modulation schemes, space-time coding as well as SDM/SDMA MIMOs within the context of various application examples. The book systematically converts the lessons of Shannon's information theory into design principles applicable to practical wireless systems; the depth of discussions increases towards the end of the book. Discusses many state-of-the-art topics important to today's wireless communications engineers. Includes numerous complete system design examples for the industrial practitioner. Offers a detailed portrayal of sphere detection. Based on over twenty years of research into OFDM in the context of various applications, subsequently presenting comprehensive bibliographies.

The next-generation wireless technologies are currently being researched to address the ever-increasing demands for higher data rates, massive connectivity, improved reliability, and extended coverage. Recently, massive multiple-input multiple-output (MIMO) has gained significant attention as a new physical-layer transmission technology that can achieve unprecedented spectral and energy efficiency gains via aggressive spatial multiplexing. Thus, massive MIMO has been one of the key enabling technologies for the fifth-generation and subsequent wireless standards. This dissertation thus focuses on developing a system, channel, and signal models by considering the practical wireless transmission impairments for massive MIMO systems, and ascertaining the viability of massive MIMO in fulfilling massive access, improved spectrum, enhanced security, and energy efficiency requirements. Specifically, new system and channel models, pilot sequence designs and channel estimation techniques, secure transmit/receive beamforming techniques, transmit power allocation schemes with enhanced security provisions, energy efficiency, and user fairness, and comprehensive performance analysis frameworks are developed for massive MIMO-aided non-orthogonal multiple access (NOMA), cognitive spectrum-sharing, and wireless relaying architectures. Our first work focuses on developing physical-layer transmission schemes for NOMA-aided massive MIMO systems. A spatial signature-based user-clustering and pilot allocation scheme is first formulated, and thereby, a hybrid orthogonal multiple access (OMA)/NOMA transmission scheme is proposed to boost the number of simultaneous connections. In our second work, the viability of invoking downlink pilots to boost the achievable rate of NOMA-aided massive MIMO is investigated. The third research contribution investigates the performance of underlay spectrum-sharing massive MIMO systems for reverse time division duplexing based transmission strategies, in which primary and secondary systems concurrently operate in opposite directions. Thereby, we show that the secondary system can be operated with its maximum average transmit power independent of the primary system in the limit of infinity many primary/secondary base-station antennas. In our fourth work, signal processing techniques, power allocation, and relay selection schemes are designed and analyzed for massive MIMO relay networks to optimize the trade-off among the achievable user rates, coverage, and wireless resource usage. Finally, the cooperative jamming and artificial noise-based secure transmission strategies are developed for massive MIMO relay networks with imperfect legitimate user channel information and with no channel knowledge of the eavesdropper. The key design criterion of the aforementioned transmission strategies is to efficiently combine the spatial multiplexing gains and favorable propagation conditions of massive MIMO with properties of NOMA, underlay spectrum-sharing, and wireless relay networks via efficient signal processing.

Anyone who has ever shopped for a new smart phone, laptop, or other tech gadget knows that staying connected is crucial. There is a lot of discussion over which service provider offers the best coverage—enabling devices to work anywhere and at any time—with 4G and LTE becoming a pervasive part of our everyday language. The Handbook of Research on Next Generation Mobile Communication Systems offers solutions for optimal connection of mobile devices. From satellite signals to cloud technologies, this handbook focuses on the ways communication is being revolutionized, providing a crucial reference source for consumers, researchers, and business professionals who want to be on the frontline of the next big development in wireless technologies. This publication features a wide variety of research-based articles that discuss the future of topics such as bandwidth, energy-efficient power, device-to-device communication, network security and privacy, predictions for 5G communication systems, spectrum sharing and connectivity, and many other relevant issues that will influence our everyday use of technology.

In wireless distributed networks, where multiple antennas can not be integrated in one node, cooperative Multi-Input Multi-Output (MIMO) techniques help to exploit the space time diversity gain in order to increase performances or to reduce the transmission energy consumption. In this thesis, strategies using cooperative MIMO techniques are proposed for Wireless Sensor Network (WSN) where the energy consumption is the most important design criterion. The performance and the energy consumption advantages of cooperative MIMO technique are investigated, in comparison with the SISO, multi-hop SISO and cooperative Relay techniques, and an optimal selection of transmit-receive antennas number in terms of energy consumption is also proposed as a function of transmission distances. Since the wireless nodes are physically separated in cooperative MIMO systems, the imperfect time synchronization between cooperative nodes clocks leads to an unsynchronized MIMO transmission. The performance degradation of this cooperative transmission synchronization error and the cooperative reception additional noise is evaluated by simulations. Two new cooperative reception techniques based on the relay principle and a new efficient space-time combination technique are proposed in order to increase the energy efficiency of cooperative MIMO systems. Finally, performance and energy consumption comparisons between cooperative MIMO and Relay techniques are performed and an association strategy is also proposed to exploit simultaneously the advantages of the two cooperative techniques.