Martin Haenggi's Books

Stochastic Geometry Analysis of Cellular Networks

By: Bartłomiej Błaszczyszyn,Martin Haenggi,Paul Keeler,Sayandev Mukherjee

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Stochastic Geometry Analysis of Cellular Networks

By: Bartłomiej Błaszczyszyn,Martin Haenggi,Paul Keeler,Sayandev Mukherjee

Achieve faster and more efficient network design and optimization with this comprehensive guide. Some of the most prominent researchers in the field explain the very latest analytic techniques and results from stochastic geometry for modelling the signal-to-interference-plus-noise ratio (SINR) distribution in heterogeneous cellular networks. This book will help readers to understand the effects of combining different system deployment parameters on key performance indicators such as coverage and capacity, enabling the efficient allocation of simulation resources. In addition to covering results for network models based on the Poisson point process, this book presents recent results for when non-Poisson base station configurations appear Poisson, due to random propagation effects such as fading and shadowing, as well as non-Poisson models for base station configurations, with a focus on determinantal point processes and tractable approximation methods. Theoretical results are illustrated with practical Long-Term Evolution (LTE) applications and compared with real-world deployment results.

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Page Count

208

Publisher

Cambridge University Press

Published Date

ISBN 10

1108340857

ISBN 13

9781108340854

Stochastic Geometry for Wireless Networks

By: Martin Haenggi

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Stochastic Geometry for Wireless Networks

By: Martin Haenggi

Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry.

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301

Publisher

Cambridge University Press

Published Date

ISBN 10

1107014697

ISBN 13

9781107014695

Interference in Large Wireless Networks

By: Martin Haenggi,Radha Krishna Ganti

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Interference in Large Wireless Networks

By: Martin Haenggi,Radha Krishna Ganti

Since interference is the main performance-limiting factor in most wireless networks, it is crucial to characterize the interference statistics. The main two determinants of the interference are the network geometry (spatial distribution of concurrently transmitting nodes) and the path loss law (signal attenuation with distance). For certain classes of node distributions, most notably Poisson point processes, and attenuation laws, closed-form results are available, for both the interference itself as well as the signal-to-interference ratios, which determine the network performance. This monograph presents an overview of these results and gives an introduction to the analytical techniques used in their derivation. The node distribution models range from lattices to homogeneous and clustered Poisson models to general motion-invariant ones. The analysis of the more general models requires the use of Palm theory, in particular conditional probability generating functionals, which are briefly introduced in the appendix.

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Page Count

136

Publisher

Now Publishers Inc

Published Date

ISBN 10

1601982984

ISBN 13

9781601982988

The Vienna LTE-Advanced Simulators

Up and Downlink, Link and System Level Simulation

By: Markus Rupp,Stefan Schwarz,Martin Taranetz

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The Vienna LTE-Advanced Simulators

Up and Downlink, Link and System Level Simulation

By: Markus Rupp,Stefan Schwarz,Martin Taranetz

This book introduces the Vienna Simulator Suite for 3rd-Generation Partnership Project (3GPP)-compatible Long Term Evolution-Advanced (LTE-A) simulators and presents applications to demonstrate their uses for describing, designing, and optimizing wireless cellular LTE-A networks. Part One addresses LTE and LTE-A link level techniques. As there has been high demand for the downlink (DL) simulator, it constitutes the central focus of the majority of the chapters. This part of the book reports on relevant highlights, including single-user (SU), multi-user (MU) and single-input-single-output (SISO) as well as multiple-input-multiple-output (MIMO) transmissions. Furthermore, it summarizes the optimal pilot pattern for high-speed communications as well as different synchronization issues. One chapter is devoted to experiments that show how the link level simulator can provide input to a testbed. This section also uses measurements to present and validate fundamental results on orthogonal frequency division multiplexing (OFDM) transmissions that are not limited to LTE-A. One chapter exclusively deals with the newest tool, the uplink (UL) link level simulator, and presents cutting-edge results. In turn, Part Two focuses on system-level simulations. From early on, system-level simulations have been in high demand, as people are naturally seeking answers when scenarios with numerous base stations and hundreds of users are investigated. This part not only explains how mathematical abstraction can be employed to speed up simulations by several hundred times without sacrificing precision, but also illustrates new theories on how to abstract large urban heterogeneous networks with indoor small cells. It also reports on advanced applications such as train and car transmissions to demonstrate the tools’ capabilities.

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Page Count

383

Publisher

Springer

Published Date

ISBN 10

9811006172

ISBN 13

9789811006173

Stochastic Geometry for Wireless Networks

By: Martin Haenggi

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Stochastic Geometry for Wireless Networks

By: Martin Haenggi

Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry.

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Page Count

301

Publisher

Cambridge University Press

Published Date

ISBN 10

1107014697

ISBN 13

9781107014695

Cellular Neural Networks

Analysis, Design and Optimization

By: Martin Hänggi,George S. Moschytz

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Cellular Neural Networks

Analysis, Design and Optimization

By: Martin Hänggi,George S. Moschytz

Cellular Neural Networks (CNNs) constitute a class of nonlinear, recurrent and locally coupled arrays of identical dynamical cells that operate in parallel. ANALOG chips are being developed for use in applications where sophisticated signal processing at low power consumption is required. Signal processing via CNNs only becomes efficient if the network is implemented in analog hardware. In view of the physical limitations that analog implementations entail, robust operation of a CNN chip with respect to parameter variations has to be insured. By far not all mathematically possible CNN tasks can be carried out reliably on an analog chip; some of them are inherently too sensitive. This book defines a robustness measure to quantify the degree of robustness and proposes an exact and direct analytical design method for the synthesis of optimally robust network parameters. The method is based on a design centering technique which is generally applicable where linear constraints have to be satisfied in an optimum way. Processing speed is always crucial when discussing signal-processing devices. In the case of the CNN, it is shown that the setting time can be specified in closed analytical expressions, which permits, on the one hand, parameter optimization with respect to speed and, on the other hand, efficient numerical integration of CNNs. Interdependence between robustness and speed issues are also addressed. Another goal pursued is the unification of the theory of continuous-time and discrete-time systems. By means of a delta-operator approach, it is proven that the same network parameters can be used for both of these classes, even if their nonlinear output functions differ. More complex CNN optimization problems that cannot be solved analytically necessitate resorting to numerical methods. Among these, stochastic optimization techniques such as genetic algorithms prove their usefulness, for example in image classification problems. Since the inception of the CNN, the problem of finding the network parameters for a desired task has been regarded as a learning or training problem, and computationally expensive methods derived from standard neural networks have been applied. Furthermore, numerous useful parameter sets have been derived by intuition. In this book, a direct and exact analytical design method for the network parameters is presented. The approach yields solutions which are optimum with respect to robustness, an aspect which is crucial for successful implementation of the analog CNN hardware that has often been neglected. `This beautifully rounded work provides many interesting and useful results, for both CNN theorists and circuit designers.' Leon O. Chua

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Page Count

155

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1475732201

ISBN 13

9781475732207

Boeing 747: A History

Delivering the Dream

By: Martin W. Bowman

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Boeing 747: A History

Delivering the Dream

By: Martin W. Bowman

A comprehensive history of the aircraft that transformed commercial aviation. Includes photos. A presence in our skies for over half a century, the iconic Boeing 747 has transported hundreds of thousands of passengers across the world. From its introduction with Pan American Airlines in 1970, it has persevered as one of the forerunners of commercial flight. Often labeled the “Queen of the Skies,” this is an aircraft revered by passengers and aircrew alike. The first wide-body airliner ever produced, it has set new standards in air travel and opened up the air routes of the world to vast numbers of people who might otherwise have been unable to afford international air travel. This book focuses not only on the 747, but also its many variants, including the YAL-1A, which Boeing developed for the US Air Force, and the Evergreen 747 Supertanker, a 747-200, modified as an aerial application for fire-fighting. Across its types, the 747 carries around half the world’s air freight. Accordingly, freight variants feature here too, including the 747-8.The sheer size of the workload carried out by this craft is astounding. From the glamorous 1970s, an era of rapid expansion that saw an unprecedented boom in the tourist trade, to the various environmental and economical imperatives that impact upon modern flight, this work shows how the Boeing 747 has been developed in accordance with the changing demands of the ages.

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Page Count

589

Publisher

Pen and Sword

Published Date

ISBN 10

1473838231

ISBN 13

9781473838239

Stochastic Geometry Analysis of Cellular Networks

By: Bartłomiej Błaszczyszyn,Martin Haenggi,Paul Keeler,Sayandev Mukherjee

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Stochastic Geometry Analysis of Cellular Networks

By: Bartłomiej Błaszczyszyn,Martin Haenggi,Paul Keeler,Sayandev Mukherjee

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Solve jigsaw puzzle

Age

Page Count

208

Publisher

Cambridge University Press

Published Date

ISBN 10

1108340857

ISBN 13

9781108340854

Interference in Large Wireless Networks

By: Martin Haenggi,Radha Krishna Ganti

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Interference in Large Wireless Networks

By: Martin Haenggi,Radha Krishna Ganti

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Solve jigsaw puzzle

Age

Page Count

136

Publisher

Now Publishers Inc

Published Date

ISBN 10

1601982984

ISBN 13

9781601982988

Book's by Martin Haenggi

Stochastic Geometry Analysis of Cellular Networks

Stochastic Geometry Analysis of Cellular Networks

Stochastic Geometry for Wireless Networks

Stochastic Geometry for Wireless Networks

Interference in Large Wireless Networks

Interference in Large Wireless Networks

The Vienna LTE-Advanced Simulators

The Vienna LTE-Advanced Simulators

Stochastic Geometry for Wireless Networks

Stochastic Geometry for Wireless Networks

Cellular Neural Networks

Cellular Neural Networks

Boeing 747: A History

Boeing 747: A History

Stochastic Geometry Analysis of Cellular Networks

Stochastic Geometry Analysis of Cellular Networks

Interference in Large Wireless Networks

Interference in Large Wireless Networks

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