Performance of Multi-antenna Wireless Systems with Channel Estimation Error

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ISBN 13 :
Total Pages : 115 pages
Book Rating : 4.:/5 (926 download)

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Book Synopsis Performance of Multi-antenna Wireless Systems with Channel Estimation Error by : Nadia Jamal

Download or read book Performance of Multi-antenna Wireless Systems with Channel Estimation Error written by Nadia Jamal and published by . This book was released on 2015 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless services and applications have become extremely popular and widely employed over the past decades. This, in turn, has led to a dramatic increase in the number of wireless users who demand reliable services with high data rates. But such services are very challenging to provide due to radio channel impairments including multipath fading and co-channel interference. In this regard, the use of multiple antennas in wireless systems was proposed recently which has rapidly received great attention. Multi-antenna technology is shown to have powerful capabilities to improve reliability via spatial diversity and to increase data rates via spatial multiplexing as compared with traditional single-antenna systems. Furthermore, by exploiting additional spatial dimensions, transmit beamforming techniques can be used to manage co-channel interference in such systems. In a rich scattering environment, multiple antennas that are located sufficiently far apart at a transmitter experience independent fading with high probability. Therefore, the transmitter can send redundant versions of the same data stream over these independent channels to improve reliability. In particular, if the transmitter has access to perfect channel state information (CSI), it can set the beamforming weights such that the received signals from different transmit antennas combine constructively at some intended receiver(s) and destructively at some unintended receiver(s) so that no co-channel interference is generated. Spatial multiplexing is another powerful multi-antenna transmission technique which aids in enhancing data rates without increasing bandwidth or transmit power. Multiple parallel and independent channels can be established between a transmitter and a receiver that both use multiple antennas in a rich scattering environment. Therefore, multiple independent streams of data can be simultaneously sent over these channels within the bandwidth of operation. This, in turn, enhances the data rate by a multiplicative factor equal to the number of the independent streams. Water-filling is a strategy that achieves the maximum data rate in such multiple-input multiple-output (MIMO) systems when perfect CSI is available at both the transmitter and the receiver. In practice, CSI can be obtained at the receiver by the use of training sequences and its accuracy can be increased by carefully selecting sequences with good auto-correlation properties. The transmitter can acquire CSI by using the channel reciprocity principle in wireless systems or by relying on a feedback path to convey the CSI from the receiver. Due to practical limitations such as rate-limited feedback links and the delay involved in such procedures, perfect CSI can be very challenging to obtain at the transmitter side. This motivates the need to evaluate the effect of imperfect CSI at the transmitter (CSIT) on the performance of transmit diversity and beamforming in multiple-input single-output (MISO) systems and water-filling power allocation in MIMO systems. In this thesis, transmit diversity and beamforming are studied in a MISO system with an n-antenna transmitter, an intended single-antenna receiver, and some unintended single- antenna receivers. Two scenarios are considered, namely, null-steering beamforming and [epsilon]-threshold beamforming in which the allowable interference threshold at the unintended receivers is zero and [epsilon] > 0, respectively. With perfect CSIT, null-steering beamforming can successfully nullify interference at m unintended receivers, where m

Wireless Multi-Antenna Channels

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 111996086X
Total Pages : 250 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Wireless Multi-Antenna Channels by : Serguei Primak

Download or read book Wireless Multi-Antenna Channels written by Serguei Primak and published by John Wiley & Sons. This book was released on 2011-10-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a practical guide on how to use and apply channel models for system evaluation In this book, the authors focus on modeling and simulation of multiple antennas channels, including multiple input multiple output (MIMO) communication channels, and the impact of such models on channel estimation and system performance. Both narrowband and wideband models are addressed. Furthermore, the book covers topics related to modeling of MIMO channel, their numerical simulation, estimation and prediction, as well as applications to receive diversity, capacity and space-time coding techniques. Key Features: Contains significant background material, as well as novel research coverage, which make the book suitable for both graduate students and researchers Addresses issues such as key-hole, correlated and non i.i.d. channels in the frame of the Generalized Gaussian approach Provides a unique treatment of generalized Gaussian channels and orthogonal channel representation Reviews different interpretations of scattering environment, including geometrical models Focuses on the analytical techniques which give a good insight into the design of systems on higher levels Describes a number of numerical simulators demonstrating the practical use of this material. Includes an accompanying website containing additional materials and practical examples for self-study This book will be of interest to researchers, engineers, lecturers, and graduate students.

Signal Processing, Channel Estimation and Link Adaptation in MIMO-OFDM Systems

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Publisher : Cuvillier Verlag
ISBN 13 : 3867276498
Total Pages : 161 pages
Book Rating : 4.8/5 (672 download)

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Book Synopsis Signal Processing, Channel Estimation and Link Adaptation in MIMO-OFDM Systems by : Jianjun Ran

Download or read book Signal Processing, Channel Estimation and Link Adaptation in MIMO-OFDM Systems written by Jianjun Ran and published by Cuvillier Verlag. This book was released on 2008 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Performance Analysis of Multi-antenna OFDM Systems with Phase Noise and Imperfect Channel Estimation

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Publisher :
ISBN 13 :
Total Pages : 197 pages
Book Rating : 4.:/5 (457 download)

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Book Synopsis Performance Analysis of Multi-antenna OFDM Systems with Phase Noise and Imperfect Channel Estimation by : Mohamed Jalloh

Download or read book Performance Analysis of Multi-antenna OFDM Systems with Phase Noise and Imperfect Channel Estimation written by Mohamed Jalloh and published by . This book was released on 2009 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The age of wireless technologies and the associated convenience that portable wireless products and services provide, continues to drive the need for more advanced products and broadband wireless services that demand carefully selected spectrally efficient modulation schemes to support the desired higher data rates. The development of multicarrier systems has paved the way to meeting the system requirements and fulfilling these needs. Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique that has provided effective means for achieving high data rates and spectral efficiency requirements in wireless communication systems, while making use of relatively simple receiver designs. In wireless communications, one of the major implementation challenges is system sensitivity to synchronization issues, which is even more pronounced in multicarrier systems such as OFDM. The use of OFDM with a high number of subcarriers, to achieve the high data rates it provides, makes it more susceptible to these non-idealities such as phase noise. Another critically limiting factor of system performance is the introduction of channel estimation errors as a consequence of imperfect channel estimation at the receiver. Accurate channel estimates are very essential in ensuring correct detection of the transmitted signal at the receiver. A thorough understanding of system operation therefore requires a detailed analysis of the effects of all the impairments. This dissertation addresses these system impairments by investigating the effects analytically on OFDM systems, deriving bit error rate (BER) expressions for systems that employ a single antenna at both the transmitter and receiver. The investigation is extended to also include OFDM systems that employ multi-antenna configurations at the receiver followed by a similar multi-antenna configuration at the transmitter. The impact of these negative effects is further investigated when applied to a practical system, comparing the analytical results with simulations that makes use of system parameters of the IEEE 802.16 standards.

Multi-antenna Transceiver Techniques for 3G and Beyond

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Publisher : John Wiley & Sons
ISBN 13 : 0470024801
Total Pages : 342 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Multi-antenna Transceiver Techniques for 3G and Beyond by : Ari Hottinen

Download or read book Multi-antenna Transceiver Techniques for 3G and Beyond written by Ari Hottinen and published by John Wiley & Sons. This book was released on 2004-08-13 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-antenna techniques are widely considered to be the most promising avenue for significantly increasing the bandwidth efficiency of wireless data transmission systems. In so called MIMO (multiple input multiple output) systems, multiple antennas are deployed both at the transmitter and the receiver. In MISO (multiple input single output) systems, the receiver has only one antenna, and the multiple transmit antennas are used for transmit diversity. The key aspects of multiple antenna transceiver techniques for evolving 3G systems and beyond are presented. MIMO and MISO (transmit diversity) techniques are explained in a common setting. In particular, the book covers linear processing transmit diversity methods with and without side information at the transmitter (feedback), including the current transmit diversity concepts in the WCDMA standards, as well as promising MIMO concepts, crucial for future high data rate systems. As an example, MIMO and MISO aspects of 3GPP HSDPA (high speed downlink packet access) will be considered. Furthermore, examples of high throughput, low complexity space-time codes will be provided, when signalling without side information (open loop concepts). The theory of linear space-time block codes will be developed, and optimal non-orthogonal high throughput codes will be constructed, both for MIMO and MISO systems. Performance may be further improved by feedback from receiver to transmitter. The corresponding closed loop modes in the current 3GPP specifications will be discussed, along with their extensions for more than two transmit antennas. In addition, feedback signalling for MIMO channels will be addressed. Optimal quantisation methods of the feedback messages will be discussed. Finally, hybrid schemes are constructed, where the amount of feedback is reduced using partly open, partly closed loop signalling. * Provides a concise and up-to-date description of perhaps the most active area of research in wireless communications * Unique in presenting recent developments in both WCDMA and MIMO * MIMO and MISO techniques are explained in a common setting * Special emphasis is placed on combining theoretical understanding with engineering applicability For Research engineers in academia and industry, and development engineers in 3G system design as well as research students.

Massive MIMO

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Publisher : Linköping University Electronic Press
ISBN 13 : 9175191474
Total Pages : 69 pages
Book Rating : 4.1/5 (751 download)

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Book Synopsis Massive MIMO by : Hien Quoc Ngo

Download or read book Massive MIMO written by Hien Quoc Ngo and published by Linköping University Electronic Press. This book was released on 2015-01-16 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last ten years have seen a massive growth in the number of connected wireless devices. Billions of devices are connected and managed by wireless networks. At the same time, each device needs a high throughput to support applications such as voice, real-time video, movies, and games. Demands for wireless throughput and the number of wireless devices will always increase. In addition, there is a growing concern about energy consumption of wireless communication systems. Thus, future wireless systems have to satisfy three main requirements: i) having a high throughput; ii) simultaneously serving many users; and iii) having less energy consumption. Massive multiple-input multiple-output (MIMO) technology, where a base station (BS) equipped with very large number of antennas (collocated or distributed) serves many users in the same time-frequency resource, can meet the above requirements, and hence, it is a promising candidate technology for next generations of wireless systems. With massive antenna arrays at the BS, for most propagation environments, the channels become favorable, i.e., the channel vectors between the users and the BS are (nearly) pairwisely orthogonal, and hence, linear processing is nearly optimal. A huge throughput and energy efficiency can be achieved due to the multiplexing gain and the array gain. In particular, with a simple power control scheme, Massive MIMO can offer uniformly good service for all users. In this dissertation, we focus on the performance of Massive MIMO. The dissertation consists of two main parts: fundamentals and system designs of Massive MIMO. In the first part, we focus on fundamental limits of the system performance under practical constraints such as low complexity processing, limited length of each coherence interval, intercell interference, and finite-dimensional channels. We first study the potential for power savings of the Massive MIMO uplink with maximum-ratio combining (MRC), zero-forcing, and minimum mean-square error receivers, under perfect and imperfect channels. The energy and spectral efficiency tradeoff is investigated. Secondly, we consider a physical channel model where the angular domain is divided into a finite number of distinct directions. A lower bound on the capacity is derived, and the effect of pilot contamination in this finite-dimensional channel model is analyzed. Finally, some aspects of favorable propagation in Massive MIMO under Rayleigh fading and line-of-sight (LoS) channels are investigated. We show that both Rayleigh fading and LoS environments offer favorable propagation. In the second part, based on the fundamental analysis in the first part, we propose some system designs for Massive MIMO. The acquisition of channel state information (CSI) is very importantin Massive MIMO. Typically, the channels are estimated at the BS through uplink training. Owing to the limited length of the coherence interval, the system performance is limited by pilot contamination. To reduce the pilot contamination effect, we propose an eigenvalue-decomposition-based scheme to estimate the channel directly from the received data. The proposed scheme results in better performance compared with the conventional training schemes due to the reduced pilot contamination. Another important issue of CSI acquisition in Massive MIMO is how to acquire CSI at the users. To address this issue, we propose two channel estimation schemes at the users: i) a downlink "beamforming training" scheme, and ii) a method for blind estimation of the effective downlink channel gains. In both schemes, the channel estimation overhead is independent of the number of BS antennas. We also derive the optimal pilot and data powers as well as the training duration allocation to maximize the sum spectral efficiency of the Massive MIMO uplink with MRC receivers, for a given total energy budget spent in a coherence interval. Finally, applications of Massive MIMO in relay channels are proposed and analyzed. Specifically, we consider multipair relaying systems where many sources simultaneously communicate with many destinations in the same time-frequency resource with the help of a massive MIMO relay. A massive MIMO relay is equipped with many collocated or distributed antennas. We consider different duplexing modes (full-duplex and half-duplex) and different relaying protocols (amplify-and-forward, decode-and-forward, two-way relaying, and one-way relaying) at the relay. The potential benefits of massive MIMO technology in these relaying systems are explored in terms of spectral efficiency and power efficiency.

RF Imperfections in High-rate Wireless Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1402069030
Total Pages : 323 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis RF Imperfections in High-rate Wireless Systems by : Tim Schenk

Download or read book RF Imperfections in High-rate Wireless Systems written by Tim Schenk and published by Springer Science & Business Media. This book was released on 2008-01-29 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is one of the first books on the emerging research topic of digital compensation of RF imperfections. The book presents a new multidisciplinary vision on the design of wireless communication systems. In this approach the imperfections of the RF front-ends are accepted and digital signal processing algorithms are designed to suppress their impact on system performance. The book focuses on multiple-antenna orthogonal frequency division multiplexing (MIMO OFDM).

Wireless Communication Over Fading Channels with Imperfect Channel Estimates

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Wireless Communication Over Fading Channels with Imperfect Channel Estimates by : Amir Ali Basri

Download or read book Wireless Communication Over Fading Channels with Imperfect Channel Estimates written by Amir Ali Basri and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multiantenna Wireless Communications Systems

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Publisher : Artech House Publishers
ISBN 13 :
Total Pages : 480 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Multiantenna Wireless Communications Systems by : Sergio Barbarossa

Download or read book Multiantenna Wireless Communications Systems written by Sergio Barbarossa and published by Artech House Publishers. This book was released on 2005 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Antenna diversity has become of critical importance in today's mobile communications systems and this groundbreaking book offers you new approaches to designing transmission strategies for multi-antenna systems. With these novel and practical design strategies you can develop transmission systems that efficiently use available power and bandwidth. The book shows you how to design multi-antenna transceivers in single antenna systems that can reduce transmission power, while ensuring a specified quality level. In addition, you can design wireless networks that have a prescribed degree and probability of connectivity and fault tolerance.

Transmit Beamforming for Multiple Antenna Systems with Imperfect Feedback

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ISBN 13 :
Total Pages : 176 pages
Book Rating : 4.:/5 (44 download)

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Book Synopsis Transmit Beamforming for Multiple Antenna Systems with Imperfect Feedback by : Yogananda R. Isukapalli

Download or read book Transmit Beamforming for Multiple Antenna Systems with Imperfect Feedback written by Yogananda R. Isukapalli and published by . This book was released on 2009 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple antennas can effectively minimize the negative impact of multiplicative fading in wireless communication systems by providing spatial diversity. In this thesis we consider a spatial diversity scheme with multiple antennas at the base station. In order to achieve the optimum performance gains, i.e., to achieve both the array gain and the diversity gain, the transmitter needs to know channel information. In frequency division duplexing systems the channel information has to be fed back to the transmitter. This feedback requirement leads to various forms of imperfection. A typical practical system has three main sources of feedback imperfection, namely, channel estimation errors, channel quantization, and feedback delay. In this thesis we comprehensively study the impact of feedback imperfections on the performance of multi-antenna systems. We develop a general framework capturing the three forms of feedback imperfection, i.e., estimation errors, quantization, and delay, for both spatially independent and correlated fading scenarios. In the modeling of imperfect feedback, we show that depending on the beamforming vector construction, the feedback delay error term can be known or unknown at the receiver. On the other hand, channel estimation error term is always unknown at the receiver. In a slow fading context, i.e., in scenarios where channel remains constant for the entire packet, we highlight the fact that both the estimation error term and the delay error term remain constant, with estimation error term unknown at the receiver and delay error term known at the receiver, for the entire packet while the thermal noise changes from symbol-to-symbol. For spatially independent channels, with the help of general framework, we then analytically quantify the effect of the three forms of feedback imperfection on the symbol and bit error probabilities of both M-PSK and M-ary rectangular QAM constellations with Gray code mapping. We also derive an analytical expression for the average packet error probability with BPSK signaling. In addition, with channel estimation errors and feedback delay, for spatially correlated channels, we develop codebook design algorithms specific to the modulation format and ergodic capacity. The new optimum codebooks show an improvement in performance compared to the existing set of codebooks available in the literature. Utilizing high resolution quantization theory and assuming perfect channel estimation at the receiver, we analyze the loss in average symbol error probability for spatially independent and correlated finite-rate feedback transmit beamforming multiple input single output systems with M1xM2-QAM constellation. We also address the issue of minimizing the negative impact of feedback delay. A natural way to combat the effect of feedback delay is channel prediction. We study the role of ergodicity in wireless channel modeling and provide an insight into when statistical channel models that employ ensemble averaging are appropriate for the purpose of channel prediction. Simulation results complement the extensive set of analytical expressions derived in the thesis.

Transmission Resource Allocation in Multi-antenna Wireless Communication Systems with Channel Uncertainty

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Publisher :
ISBN 13 :
Total Pages : 312 pages
Book Rating : 4.:/5 (953 download)

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Book Synopsis Transmission Resource Allocation in Multi-antenna Wireless Communication Systems with Channel Uncertainty by : Xiangyun Zhou

Download or read book Transmission Resource Allocation in Multi-antenna Wireless Communication Systems with Channel Uncertainty written by Xiangyun Zhou and published by . This book was released on 2010 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis we investigate the design of transmission resource allocation in current and future wireless communication systems. We focus on systems with multiple antennas and characterize their performance from an information-theoretic viewpoint. The goal of this work is to provide practical transmission and resource allocation strategies taking into account imperfections in estimating the wireless channel, as well as the broadcast nature of the wireless channel. In the first part of the thesis, we consider training-based transmission schemes in which pilot symbols are inserted into data blocks to facilitate channel estimation. We consider one-way training-based systems with and without feedback, as well as two-way training-based systems. Two-way training enables both the transmitter and the receiver to obtain the channel state information (CSI) through reverse training and forward training, respectively. In all considered cases, we derive efficient strategies for transmit time and/or energy allocation among the pilot and data symbols. These strategies usually have analytical closed-form expressions and can achieve near optimal capacity performance evidenced by extensive numerical analysis. In one-way training-based systems without feedback, we consider both spatially independent and correlated channels. For spatially independent channels, we provide analytical bounds on the optimal training length and study the optimal antenna conguration that maximizes an ergodic capacity lower bound. For spatially correlated channels, we provide simple pilot and data transmission strategies that are robust under least-favorable channel correlation conditions. In one-way training-based systems with feedback, we study channel gain feedback (CGF), channel covariance feedback (CCF) and hybrid feedback. For spatially independent channels with CGF, we show that the solutions to the optimal training length and energy coincide with those for systems without feedback. For spatially correlated channels with CCF, we propose a simple transmission scheme, taking into account the fact that the optimal training length is at most as large as the number of transmit antennas. We then provided solution to the optimal energy allocation between pilot and data transmissions, which does not depend on the channel spatial correlation under a mild condition. Our derived resource allocation strategies in CGF and CCF systems are extended to hybrid CCF-CGF systems. In two-way training-based systems, we provide analytical solutions to the transmit power distribution among the different training phases and the data transmission phase. These solutions are shown to have near optimal symbol error rate (SER) and capacity performance. We find that the use of two-way training can provide noticeable performance improvement over reverse training only when the system is operating at moderate to high signal-to-noise ratio (SNR) and using high-order modulations. While this improvement from two-way training is insignificant at low SNR or low-order modulations. In the second part of the thesis, we consider transmission resource allocation in security-constrained systems. Due to the broadcast nature of the wireless medium, security is a fundamental issue in wireless communications. To guarantee secure communication in the presence of eavesdroppers, we consider a multi-antenna transmission strategy which sends both an information signal to the intended receiver and a noise-like signal isotropically to confuse the eavesdroppers. We study the optimal transmit power allocation between the information signal and the artificial noise. In particular, we show that equal power allocation is a near optimal strategy for non-colluding eavesdroppers, while more power should be used to generate the artificial noise for colluding eavesdroppers. In the presence of channel estimation errors, we find that it is better to create more artificial noise than to increase the information signal strength.

Smart Antennas

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Publisher : Hindawi Publishing Corporation
ISBN 13 : 9775945097
Total Pages : 891 pages
Book Rating : 4.7/5 (759 download)

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Book Synopsis Smart Antennas by : Thomas Kaiser

Download or read book Smart Antennas written by Thomas Kaiser and published by Hindawi Publishing Corporation. This book was released on 2005 with total page 891 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Antennas—State of the Art brings together the broad expertise of 41 European experts in smart antennas. They provide a comprehensive review and an extensive analysis of the recent progress and new results generated during the last years in almost all fields of smart antennas and MIMO (multiple-input multiple-output) transmission. The following represents a summarized table of content.Receiver: space-time processing, antenna combining, reduced rank processing, robust beamforming, subspace methods, synchronization, equalization, multiuser detection, iterative methods Channel: propagation, measurements and sounding, modelling, channel estimation, direction-of-arrival estimation, subscriber location estimation Transmitter: space-time block coding, channel side information, unified design of linear transceivers, ill-conditioned channels, MIMO-MAC strategies Network Theory: channel capacity, network capacity, multihop networks Technology: antenna design, transceivers, demonstrators and testbeds, future air interfaces Applications and Systems: 3G system and link level aspects, MIMO HSDPA, MIMO-WLAN/UMTS implementation issues This book serves as a reference for scientists and engineers who need to be aware of the leading edge research in multiple-antenna communications, an essential technology for emerging broadband wireless systems.

Channel Estimation and Feedback for Multiple Antenna Communication

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Publisher :
ISBN 13 :
Total Pages : 164 pages
Book Rating : 4.:/5 (769 download)

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Book Synopsis Channel Estimation and Feedback for Multiple Antenna Communication by : Chandra Ramabhadra Murthy

Download or read book Channel Estimation and Feedback for Multiple Antenna Communication written by Chandra Ramabhadra Murthy and published by . This book was released on 2006 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation studies several aspects of feedback-based communication with multiple antennas, such as the estimation of the Channel State Information (CSI), the quantization of the CSI with a finite number of bits to enable its feedback to the transmitter, as well as the effect of errors in the feedback channel on the performance of the communication system. Channel estimation is doubly important in feedback-based communication because inaccurate CSI affects not only the receiver performance, but also results in sub-optimal transmission. In this context, Multiple Input Multiple Output (MIMO) flat-fading channel estimation when the transmitter employs Maximum Ratio Transmission (MRT) is studied. Two competing schemes for estimating the transmit and receive beamforming vectors of the channel matrix are analyzed: a training based conventional least squares estimation (CLSE) scheme and a closed-form semi-blind (CFSB) scheme that employs training followed by information-bearing spectrally white data symbols. Employing matrix perturbation theory, expressions for the mean squared error (MSE) in the beamforming vector, the average received SNR and the symbol error rate (SER) performance of both the semi-blind and the conventional schemes are derived. Another important issue in beamforming-based communication with multiple antennas is the feedback of CSI. Hence, the design and analysis of quantizers for Equal Gain Transmission (EGT) systems with finite rate feedback-based communication in flat-fading Multiple Input Single Output (MISO) systems is considered. Two popular approaches for quantizing the phase angles are contrasted: vector quantization (VQ) and scalar quantization (SQ). Closed-form expressions are derived for the performance of quantized feedback in terms of capacity loss and outage probability in the case of i.i.d. Rayleigh flat-fading channels. In the work described above, the feedback channel is assumed to be free of delay and noise. With the view to understand the effect of errors on quantization, this dissertation considers the more general problem of characterizing the high-rate performance of source coding for noisy discrete symmetric channels with random index assignment. Theoretical expressions for the performance of source coding for noisy channels are derived for a large class of distortion measures. The theoretical expressions are used to derive new results for two specific applications. The first is the quantization of the CSI for MISO systems with beamforming at the transmitter. The second application is in the wideband speech compression problem, i.e., that of quantizing the linear predictive coding parameters in speech coding systems with the log spectral distortion as performance metric.

Massive MIMO Systems

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Publisher : MDPI
ISBN 13 : 3039360167
Total Pages : 330 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Massive MIMO Systems by : Kazuki Maruta

Download or read book Massive MIMO Systems written by Kazuki Maruta and published by MDPI. This book was released on 2020-07-03 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple-input, multiple-output (MIMO), which transmits multiple data streams via multiple antenna elements, is one of the most attractive technologies in the wireless communication field. Its extension, called ‘massive MIMO’ or ‘large-scale MIMO’, in which base station has over one hundred of the antenna elements, is now seen as a promising candidate to realize 5G and beyond, as well as 6G mobile communications. It has been the first decade since its fundamental concept emerged. This Special Issue consists of 19 papers and each of them focuses on a popular topic related to massive MIMO systems, e.g. analog/digital hybrid signal processing, antenna fabrication, and machine learning incorporation. These achievements could boost its realization and deepen the academic and industrial knowledge of this field.

Space-Time Processing for MIMO Communications

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Publisher : John Wiley & Sons
ISBN 13 : 0470010037
Total Pages : 388 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Space-Time Processing for MIMO Communications by : Alex Gershman

Download or read book Space-Time Processing for MIMO Communications written by Alex Gershman and published by John Wiley & Sons. This book was released on 2005-08-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Exciting theoretical advances have been complemented by rapid transition of research results to industry products and services, thus creating a vibrant new area. Space-time processing is a broad area, owing in part to the underlying convergence of information theory, communications and signal processing research that brought it to fruition. This book presents a balanced and timely introduction to space-time processing for MIMO communications, including highlights of emerging trends, such as spatial multiplexing and joint transceiver optimization. Includes detailed coverage of wireless channel sounding, modelling, characterization and model validation. Provides state-of-the-art research results on space-time coding, including comprehensive tutorial coverage of orthogonal space-time block codes. Discusses important recent developments in spatial multiplexing, transmit beam-forming, pre-coding and joint transceiver design for the multi-user MIMO downlink using full or partial CSI. Illustrates all theory with numerous examples gleaned from cutting-edge research from around the globe. This valuable resource will appeal to engineers, developers and consultants involved in the design and implementation of space-time processing for MIMO communications. Its accessible format, amply illustrated with real world case studies, contains relevant, detailed advice for postgraduate students and researchers specializing in this field.

MIMO Wireless Networks

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Publisher : Academic Press
ISBN 13 : 0123850568
Total Pages : 773 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis MIMO Wireless Networks by : Bruno Clerckx

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

Bandwidth Efficient Channel Estimation for Multiple-input Multiple-output (MIMO) Wireless Communication Systems: A Study of Semi-blind and Superimposed Schemes

Download Bandwidth Efficient Channel Estimation for Multiple-input Multiple-output (MIMO) Wireless Communication Systems: A Study of Semi-blind and Superimposed Schemes PDF Online Free

Author :
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ISBN 13 : 9781109883398
Total Pages : 202 pages
Book Rating : 4.8/5 (833 download)

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Book Synopsis Bandwidth Efficient Channel Estimation for Multiple-input Multiple-output (MIMO) Wireless Communication Systems: A Study of Semi-blind and Superimposed Schemes by : Aditya K. Jagannatham

Download or read book Bandwidth Efficient Channel Estimation for Multiple-input Multiple-output (MIMO) Wireless Communication Systems: A Study of Semi-blind and Superimposed Schemes written by Aditya K. Jagannatham and published by . This book was released on 2007 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Superimposed pilots (SP) are another interesting alternative to reduce the impact of a pilot overhead without a significant increase in computational complexity. We present a study of the mean-squared error (MSE) and throughput performance of superimposed pilots (SP) for the estimation of a MIMO wireless channel. We illustrate a semi-blind scheme for SP based MIMO channel estimation, which improves performance over the traditional mean-estimator. A new result is presented for the worst-case capacity of a communication channel with correlated information symbols and noise. We also address the issue of optimal source-pilot power allocation for SP. In the end we consider the problem of estimation of a time-selective MIMO wireless channel using superimposed pilot (SP) symbols. We demonstrate a scheme for channel estimation based on a complex exponential basis expansion model (CEBEM) approximation of the time-selective wireless channel. We further reduce the MSE of estimation by employing an expectation-maximization (EM) based iterative estimation procedure.