Advances In Monolithic Microwave Integrated Circuits For Wireless Systems Modeling And Design Technologies

Monolithic Microwave Integrated Circuit (MMIC) is an electronic device that is widely used in all high frequency wireless systems. In developing MMIC as a product, understanding analysis and design techniques, modeling, measurement methodology, and current trends are essential.Advances in Monolithic Microwave Integrated Circuits for Wireless Systems: Modeling and Design Technologies is a central source of knowledge on MMIC development, containing research on theory, design, and practical approaches to integrated circuit devices. This book is of interest to researchers in industry and academia working in the areas of circuit design, integrated circuits, and RF and microwave, as well as anyone with an interest in monolithic wireless device development.

The development of new information and communication technologies has a considerable impact on the way humans interact with each other and their environment. The proper use of these technologies is an important consideration in the success of modern human endeavors. Multidisciplinary Perspectives on Telecommunications, Wireless Systems, and Mobile Computing explores some of the latest advances in wireless communication technologies, making use of empirical research and analytical case studies to evaluate best practices in the discipline. This book will provide insight into the next generation of information and communication technologies for developers, engineers, students, researchers, and managers in the telecommunications field.

This book provides comprehensive knowledge, aimed at practicing integrated circuit design engineer or researcher, to learn and design a low noise amplifier (LNA) for single and multiband applications. The content is structured in a way so that even a beginner can follow the design method easily. This book features the following characteristics: different types of LNA designs (with key building blocks) are discussed, and detailed analysis is given for each LNA design, which covers from the fundamental and principal knowledge to the justification of the design approach. Detailed design approaches are using 180 nm and 130nm CMOS technologies, purposely presented in this manner to give exposure to the design of LNA under different technologies. The LNAs in this book are designed for GSM, WCDMA and WLAN standards, but the same method can be used for other frequencies of operation. Comprehensive analyses on the extreme or corner condition effects are highlighted. Besides, detailed derivation of equations relating to the parameters of the LNA’s performance metrics help LNA designers in understanding how the performance metrics of the LNA can be optimized to meet the desired specification. Electromagnetic analyses using Sonnet, an electromagnetic tool able to replace the conventional post-layout simulation with resistance and capacitance parasitic extraction for more accurate frequency performance prediction are presented. The electromagnetic method is proposed to be used in the LNA design as it can accurately predict the LNA’s performance before tape-out for first-pass fabrication. MATLAB codes are provided to generate important S-parameters and noise figure values.

In fields as diverse as research and development, governance, and international trade, success depends on effective communication. However, limited research exists on how professionals can express themselves consistently across disciplines. Modern Trends Surrounding Information Technology Standards and Standardization within Organizations showcases the far-ranging economic and societal ramifications incited by technical standardization between individuals, organizations, disciplines, and nations. This publication serves as a valuable model for inter-disciplinary scholars, IT researchers, and professionals interested in the link between technology and social change in an increasingly networked and interconnected global society.

This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.

Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.

The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize. Big Data Applications in the Telecommunications Industry is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on data science and wireless network communications.