Download or read book Channel estimation data detection and training design for wireless communications written by Timothy Whitworth and published by . This book was released on 2008 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Channel Estimation for Physical Layer Network Coding Systems written by Feifei Gao and published by Springer. This book was released on 2014-10-15 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief presents channel estimation strategies for the physical later network coding (PLNC) systems. Along with a review of PLNC architectures, this brief examines new challenges brought by the special structure of bi-directional two-hop transmissions that are different from the traditional point-to-point systems and unidirectional relay systems. The authors discuss the channel estimation strategies over typical fading scenarios, including frequency flat fading, frequency selective fading and time selective fading, as well as future research directions. Chapters explore the performance of the channel estimation strategy and optimal structure of training sequences for each scenario. Besides the analysis of channel estimation strategies, the book also points out the necessity of revisiting other signal processing issues for the PLNC system. Channel Estimation of Physical Layer Network Coding Systems is a valuable resource for researchers and professionals working in wireless communications and networks. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

Download or read book Iterative Channel Estimation for Wireless Communications written by JoonBeom Kim and published by . This book was released on 2006 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finally, for vertical Bell Laboratories layered space-time OFDM systems, we propose an iterative channel estimator based on a PSAM structure for time-varying multipath fading channels. By exploiting the statistical properties of a wireless channel, we also develop a method to suppress intercarrier interference due to the channel time selectivity, and propose a low-complexity iterative channel estimator that exploits a priori information in an efficient manner.

Download or read book Signal Processing Advances in Wireless and Mobile Communications Trends in channel estimation and equalization written by Yingbo Hua and published by Prentice Hall. This book was released on 2001 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is volume 1 of a 2 volume set. This volume focuses on "channel estimation and equalization."

Download or read book Optimization of Distributed Detection Systems in the Presence of Wireless Channel Uncertainty written by Hamidreza Ahmadi and published by . This book was released on 2013 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: "We study data fusion in a distributed detection system, consisting of several geographically dispersed signal detectors and a fusion center (FC), that is tasked with solving an underlying binary hypothesis testing problem (e.g., detection of a signal source or a target in a field being monitored). Each detector makes a binary local decision based on its local observation, where each local decision has a certain reliability index, determined by the observation quality. These local decisions are digitally modulated and transmitted over wireless channels to neighboring detectors and/or the FC. The FC is tasked with fusing the data received from the detectors and making a global binary decision. The challenge in data fusion is that the binary local decisions would be corrupted due to wireless channel effects (i.e., additive Gaussian noise and multipath fading). These effects further limit the reliability of the global decision. This raises a key question: Aiming to maximize the reliability of the global decision, what is the optimal distributed detection system design in the presence of wireless channel uncertainty? To address this question in this thesis, we identify and address three subproblems as the following: P1) Suppose the topology (i.e., the wireless connections between the local detectors and the FC that are used for transmission of local binary decisions) of the distributed detection system is adaptive and can be selected based on the observation and communication channel qualities. What are the best network topology and the best signal processing schemes (i.e., local decision rules and data fusion rules)? How are the best topology and the best signal processing schemes related to the reliability indices of the local decisions, channel noise and fading? Our results indicate that the optimality of widely used parallel topology, in which the local detectors directly communicate with the FC, is limited. We also demonstrate the average performance gain of topology adaptation compared with a fixed topology system. P2) Channel estimation is an integral part of most of today's wireless communication systems. Via transmitting known training symbols, the local detectors enable the FC to estimate the unknown fading channel, which is used for recovering data symbols. Considering a distributed detection system with a parallel topology, in which the local detectors transmit training symbols, followed by their local binary decisions, and assuming an average transmit power constraint, we ask: What is the best data fusion rule at the FC? How is this fusion rule affected by channel estimation error, transmit power allocation between training and data symbols, and the communication reception mode at the FC (i.e., coherent versus noncoherent)? Our study shows that with noncoherent reception, the detection performance of the FC is maximized when no training symbol is transmitted and all transmit power is spent for only data symbols. This performance is attainable with statistics-based likelihood-ratio-test (LRT) rule for random channels and generalized LRT (GLRT) for deterministic channels. With coherent reception, however, the optimal power allocation depends on the fading model. For Rayleigh fading model, the total detection probability and error exponent are maximized when half of the transmit power is spent for training symbols. Whereas, for Rician fading model, the optimal power allocation depends on the operating signal-to-noise (SNR) and Rice factor. P3) Suppose the distributed detection system is tasked with detecting a Gaussian signal source, where in its presence, local observations are statistically correlated samples of the signal source, corrupted by an additive Gaussian noise. We ask: What is the best linear data fusion rule at the FC? How is this fusion rule affected by the statistical correlation, the reliability indices of the local decisions, transmit power constraints at the local detectors, communication multiple access scheme (employed by the local detectors to communicate with the FC), the communication reception mode at the FC, channel noise and fading? We show that statistical correlation degrades the detection probability of the system. We also find the optimal power allocation for different communication multiple access schemes, subject to several transmit power constraints, in terms of observation and wireless channel qualities"--Pages v-vi.

Download or read book Scalable Signal Processing in Cloud Radio Access Networks written by Ying-Jun Angela Zhang and published by Springer. This book was released on 2019-04-23 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Springerbreif introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity. Cloud radio access network (C-RAN) is a novel mobile network architecture that has a lot of significance in future wireless networks like 5G. the high density of remote radio heads in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This Springerbrief undertakes a comprehensive study on scalable signal processing for C-RANs, where ‘scalable’ means that the computational and implementation complexities do not grow rapidly with the network size. This Springerbrief will be target researchers and professionals working in the Cloud Radio Access Network (C-Ran) field, as well as advanced-level students studying electrical engineering.

Download or read book Wireless Communications written by Giorgio A. Vitetta and published by John Wiley & Sons. This book was released on 2013-03-29 with total page 849 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the theoretical elements at the basis of various classes of algorithms commonly employed in the physical layer (and, in part, in MAC layer) of wireless communications systems. It focuses on single user systems, so ignoring multiple access techniques. Moreover, emphasis is put on single-input single-output (SISO) systems, although some relevant topics about multiple-input multiple-output (MIMO) systems are also illustrated. Comprehensive wireless specific guide to algorithmic techniques Provides a detailed analysis of channel equalization and channel coding for wireless applications Unique conceptual approach focusing in single user systems Covers algebraic decoding, modulation techniques, channel coding and channel equalisation

Download or read book Wireless Coordinated Multicell Systems written by Duy H. N. Nguyen and published by . This book was released on 2014-06-30 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Techniques and Analysis of Forward Link Channel Estimation in Duplex Wireless Communications written by Xiaofei Dong and published by . This book was released on 2006 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Learning and Wireless Communications written by Yonina C. Eldar and published by Cambridge University Press. This book was released on 2022-06-30 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications – an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge.

Download or read book Wireless Communications Over Rapidly Time Varying Channels written by Franz Hlawatsch and published by Academic Press. This book was released on 2011-05-04 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a result of higher frequencies and increased user mobility, researchers and systems designers are shifting their focus from time-invariant models to channels that vary within a block. Wireless Communications Over Rapidly Time-Varying Channels explains the latest theoretical advances and practical methods to give an understanding of rapidly time varying channels, together with performance trade-offs and potential performance gains, providing the expertise to develop future wireless systems technology. As well as an overview of the issues of developing wireless systems using time-varying channels, the book gives extensive coverage to methods for estimating and equalizing rapidly time-varying channels, including a discussion of training data optimization, as well as providing models and transceiver methods for time-varying ultra-wideband channels. An introduction to time-varying channel models gives in a nutshell the important issues of developing wireless systems technology using time-varying channels Extensive coverage of methods for estimating and equalizing rapidly time-varying channels, including a discussion of training data optimization, enables development of high performance wireless systems Chapters on transceiver design for OFDM and receiver algorithms for MIMO communication channels over time-varying channels, with an emphasis on modern iterative turbo-style architectures, demonstrates how these important technologies can optimize future wireless systems

Download or read book Semi Blind Carrier Frequency Offset Estimation and Channel Equalization written by Yufei Jiang and published by Springer. This book was released on 2015-12-01 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief investigates the performance of semi-blind independent component analysis (ICA) based equalization and carrier frequency offset estimation approaches (CFO) for a number of orthogonal frequency division multiplexing (OFDM) based wireless communication systems. It provides a comprehensive overview of the challenges of channel equalization and frequency synchronization for different wireless systems. The authors present the wireless communication channel and system models. Key existing CFO estimation methods are reviewed, along with a number of the training based and non-training based (blind) channel estimation methods. This is followed by a study of ICA and its applications to OFDM-based wireless communication systems. Later chapters provide a detailed description of recent research on semi-blind CFO estimation and ICA based equalization approaches for various wireless communication systems including multiple-input multiple-output (MIMO) OFDM and coordinated multipoint (CoMP) systems. Semi-blind CFO estimation and equalization structures provide a spectrum-efficient and high-performance solution for high speed wireless communications. This book is suitable for postgraduate students, researchers or professionals in the area of wireless communications.

Download or read book Optimal Detection with Imperfect Channel Estimation for Wireless Communications written by Junruo Zhang and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Channel Estimation and Receiver Design for Wireless Communications Employing Multiple Antennas written by and published by . This book was released on 2004 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Some Issues in Enabling Technologies for High Data Rate Reliable Wireless Communications written by Hlaing Minn and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Generation by generation, wireless communication has advanced in various ways and provided reliable communication services at higher and higher data rates to the needs of more and more advanced wireless applications. Two main issues towards future wireless communications are high-speed transmission technique to provide high data rate services and reliable communication to ensure the required performance. This dissertation focuses on these two issues. Since orthogonal frequency division multiplexing (OFDM) has emerged as an enabling technique for high-speed transmission in dispersive environments, major and fundamental issues in OFDM, namely, synchronization, channel estimation, and peak-to-average power ratio (PAPR) reduction are addressed. For the required reliability, automatic repeat request (ARQ) schemes must be applied. Due to large potential performance improvement, adaptive ARQ schemes have recently attracted much attention and are also addressed here. We propose two improved OFDM timing synchronization methods which overcome the drawbacks of existing methods. We present a time-domain-based OFDM channel estimation which outperforms the existing time-domain-based approach and has a similar performance to the linear minimum mean square error estimator but with less complexity. For OFDM systems with transmit diversity, we present a reduced complexity channel estimation which has a comparable performance to the existing method for channels with relatively small delay spreads, but achieves much complexity saving. An approach to find the number of most significant channel taps is described for diverse channel environments. We analyze the effect of non-sample-spaced channel path on the channel estimation and propose a modification for further improvement. Timing synchronization, frequency synchronization and channel estimation are usually addressed separately. Since they can affect each other, the idea of jointly addressing all of them together is much desirable and pursued here. This joint approach reflects the actual performance and gives an opportunity to exploit some information obtained from one task in another, hence promising more improvement. The proposed training preamble-based joint timing and frequency synchronization utilizes some information from the channel estimation. The sync detection is also considered. We design the training symbol to achieve a better coarse timing synchronization. Methods to suppress or circumvent the interference in the frequency estimation caused by timing errors are presented. A new performance measure for OFDM timing synchronization is proposed which leads to obtaining optimal timing estimation setting. Next, we present a joint timing synchronization, frequency synchronization and channel estimation based on training preamble based maximum likelihood realization. Further complexity reduction by an adaptive scheme is also proposed. We address some fundamental questions on peak factors, sampling theorem and sampling series. We present several bounds of bandlimited functions and peak factor ratio bound of a continuous signal and its sampled signal. Some discussion on the requirements of sampling theorems and related aspects on sampling series are presented. We study PAPR behavior of some Reed-Muller codes in OFDM systems in an attempt to find a code with good error correction, low PAPR, efficient encoding/decoding and reasonable code rate. Some regularities of the second and third-order cosets of first order Reed-Muller codes with low PAPR are presented which indicates possibility of finding such code for OFDM. The main issues in adaptive ARQ schemes are how to design the adaptive system parameters and how to effectively sense the channel conditions. We present an approach for designing the adaptive ARQ system parameters based on the through put calculation and optimization. An alternative approach which avoids the tedious throughput calculation is also presented. An effective channel sensing algorithm which utilizes the error correcting capability is proposed. Incorporation of the adaptive frequency hopping concept into the ARQ scheme with adaptive error control is introduced which has a significant throughput improvement in slow fading channels.

Download or read book Baseband Receiver Design for Wireless MIMO OFDM Communications written by Tzi-Dar Chiueh and published by John Wiley & Sons. This book was released on 2012-04-24 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition of OFDM Baseband Receiver Design for Wirless Communications, this book expands on the earlier edition with enhanced coverage of MIMO techniques, additional baseband algorithms, and more IC design examples. The authors cover the full range of OFDM technology, from theories and algorithms to architectures and circuits. The book gives a concise yet comprehensive look at digital communication fundamentals before explaining signal processing algorithms in receivers. The authors give detailed treatment of hardware issues - from architecture to IC implementation. Links OFDM and MIMO theory with hardware implementation Enables the reader to transfer communication received concepts into hardware; design wireless receivers with acceptable implemntation loss; achieve low-power designs Covers the latest standards, such as DVB-T2, WiMax, LTE and LTE-A Includes more baseband algorithms, like soft-decoding algorithms such as BCJR and SOVA Expanded treatment of channel models, detection algorithms and MIMO techniques Features concrete design examples of WiMAX systems and cognitive radio apllications Companion website with lecture slides for instructors Based on materials developed for a course in digital communication IC design, this book is ideal for graduate students and researchers in VLSI design, wireless communications, and communications signal processing. Practicing engineers working on algorithms or hardware for wireless communications devices will also find this to be a key reference.

Download or read book Fundamentals of Wireless Communication written by David Tse and published by Cambridge University Press. This book was released on 2005-05-26 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook takes a unified view of the fundamentals of wireless communication and explains cutting-edge concepts in a simple and intuitive way. An abundant supply of exercises make it ideal for graduate courses in electrical and computer engineering and it will also be of great interest to practising engineers.