With the advent of the multimodal immersive communication system, people can interact with each other using multiple devices for sensing, communication and/or application level control either onsite or remotely. As a ...
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ISBN:
(纸本)9798350303582;9798350303599
With the advent of the multimodal immersive communication system, people can interact with each other using multiple devices for sensing, communication and/or application level control either onsite or remotely. As a breakthrough concept, a distributedsensing, computing, communications, and control (DS3C) fabric is introduced in this paper for provisioning 6G services in multi-tenant environments in a unified manner. The DS3C fabric can be further enhanced by natively incorporating intelligent algorithms for network automation and managing networking, computing, and sensing resources efficiently to serve vertical use cases with extreme and/or conflicting requirements. As such, the paper proposes a novel end-to-end 6G system architecture with enhanced intelligence spanning across different network, computing, and business domains, identifies vertical use cases and presents an overview of the relevant standardisation and pre-standardisation landscape.
In this paper we consider the impact of communication noise on distributedsensing and estimation in mobile networks. We characterize when a node should rely on getting information from others and when it should rely ...
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In this paper we consider the impact of communication noise on distributedsensing and estimation in mobile networks. We characterize when a node should rely on getting information from others and when it should rely on self exploration. In doing so, we explore the trade-offs between sensing and communication by finding the optimum network configuration under communication constraints. We also show how to achieve the optimum configuration in a distributed manner. While our main results are presented in one dimension (ID), we provide insight into the two dimension (2D) setup and extend a number of key results to 2D.
Spatial Aggregation abstracts data arising from distributed embedded sensing and control applications as a set of so-called spatiotemporal objects. Locality and continuity in the underlying physics of a problem domain...
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Spatial Aggregation abstracts data arising from distributed embedded sensing and control applications as a set of so-called spatiotemporal objects. Locality and continuity in the underlying physics of a problem domain give rise to spatially coherent and temporally contiguous objects in an appropriate metric space. Once parameterized by physical properties such as location, intensity (e.g., light, temperature, pressure), and motion (e.g., velocity), these objects can be aggregated and abstracted into more abstract descriptions. Applications are written as the creation and transformation of these abstract objects. We illustrate how these objects naturally arise from applications such as distributedsensing and actuation, and use an air jet table system to demonstrate how such a physics-based encapsulation modularizes the design of sensing and control software. Unlike in traditional software design, where objects and operations are defined mathematically and possess a semantics independent of possible implementations, the objects in distributed embedded software are defined by the physics of the application, algorithmic considerations, and task requirements, as well as optimization criteria. The air jet table example demonstrates that the grouping and abstraction of actuation devices are determined by laws of motion, the type of force allocation algorithms used, and the desired performance of the controller;this encapsulation greatly simplifies the design and implementation of a force allocation algorithm for the system and improves software modularity. Based on our practical experiences in designing several massively distributedsensing and actuation systems, we present a set of recommendations for distributed embedded software modeling and design.
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