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Distributed Space-Time Coding (DSTC) is a cooperative relaying scheme that enables high reliability in wireless networks. This brief presents the basic concept of DSTC, its achievable performance, generalizations, code design, and differential use. Recent results on training design and channel estimation for DSTC and the performance of training-based DSTC are also discussed.

This book is divided into 12 chapters, including introduction, multi-aperture transmit/receive technology in turbulent atmosphere, channel model and channel capacity, orthogonal space-time block coding, layered space-time coding, hybrid space-time coding, space-time trellis coding, differential space-time coding, unitary space-time coding, adaptive layered space-time coding, performance analysis of indoor MIMO-VLC system, and detection algorithm of MIMO technology. The key technologies of ...

Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent syste...

To whom do you add value? What are the expected Distributed artificial intelligence results? Act/Adjust: What Do you Need to Do Differently? How do you verify and develop ideas and innovations? Can the schedule be done in the given time?Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role… In EVERY group, company, organization and department.Unless you are talking a one-time, single-use project, there ...

The book provides invaluable insights into cutting-edge advancements across multiple sectors of Society 5.0, where contemporary concepts and interdisciplinary applications empower you to understand and engage with the transformative technologies shaping our future.Distributed Time-Sensitive Systems offers a comprehensive array of pioneering advancements across various sectors within Society 5.0, underpinned by cutting-edge technological innovations. This v...

This book mainly presents the authors' recent studies on the distributed attitude consensus of multiple flexible spacecraft. Modified Rodrigues parameters and rotation matrix are used to represent spacecraft attitude. Several distributed adaptive controllers are presented with theoretical analyses, numerical simulations and experimental verifications. The authors intend to provide a manual that allows researchers, engineers and students in the field of aerospace engineering and mechanics t...

What is your formula for success in Distributed Information Processing ? Are there any constraints known that bear on the ability to perform Distributed Information Processing work? How is the team addressing them? What have been your experiences in defining long range Distributed Information Processing goals? Are Distributed Information Processing vulnerabilities categorized and prioritized? Risk factors: what are the characteristics of Distributed Information Processing that make it risk...

A tutorial leading the aspiring Go developer to full mastery of Golang s distributed features.Key Features\[\*\] This book provides enough concurrency theory to give you a contextual understanding of Go concurrency\[\*\] It gives weight to synchronous and asynchronous data streams in Golang web applications\[\*\] It makes Goroutines and Channels completely familiar and natural to Go developersBook DescriptionDistributed Compu...

This book constitutes the refereed proceedings of the 4th International Conference on Distributed Artificial Intelligence, DAI 2022, held in Tianjin, China, in December 2022.The 5 full papers presented in this book were carefully reviewed and selected from 12 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high...

This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020.The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, hi...

Language is integral to human doing, being, becoming and belonging, and its acquisition is naturally distributed in and across activity spaces over time. Different learning experiences form 'a dialectical unity', where one brings the others into existence, and the capacities fostered in one inform and transform those in the others. Thus, connected learning across time and space is fundamental to the coherence, relevance, and meaningfulness of language learning, yet is not given sufficient ...

One of the most significant and obvious examples of how mobile communication influences our understanding of time and space is how we coordinate with one another. Mobile communication enables us to call specific individuals, not general places. Regardless of location, we are able to make contact with almost anyone, almost anywhere. This advancement has changed, and continues to change, human interaction. Now, instead of agreeing on a particular time well beforehand, we can iteratively work...