A Survey on Integrated Sensing, Communication, and Computation

IF 34.4 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Communications Surveys and Tutorials Pub Date : 2024-12-23 DOI:10.1109/COMST.2024.3521498

Dingzhu Wen;Yong Zhou;Xiaoyang Li;Yuanming Shi;Kaibin Huang;Khaled B. Letaief

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Abstract

The forthcoming generation of wireless technology, 6G, promises a revolutionary leap beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent services, where everything is interconnected and intelligent. This vision requires the seamless integration of three fundamental modules: Sensing for information acquisition, communication for information sharing, and computation for information processing and decision-making. These modules are intricately linked, especially in complex tasks such as edge learning and inference. However, the performance of these modules is interdependent, creating a resource competition for time, energy, and bandwidth. Existing techniques like integrated communication and computation (ICC), integrated sensing and computation (ISC), and integrated sensing and communication (ISAC) have made partial strides in addressing this challenge, but they fall short of meeting the extreme performance requirements. To overcome these limitations, it is essential to develop new techniques that comprehensively integrate sensing, communication, and computation. This integrated approach, known as Integrated Sensing, Communication, and Computation (ISCC), offers a systematic perspective for enhancing task performance. This paper begins with a comprehensive survey of historic and related techniques such as ICC, ISC, and ISAC, highlighting their strengths and limitations. It then discusses the benefits, functions, and challenges of ISCC. Subsequently, the state-of-the-art signal designs for ISCC, along with network resource management strategies specifically tailored for ISCC are explored. Furthermore, this paper discusses the exciting research opportunities that lie ahead for implementing ISCC in future advanced networks, and the unresolved issues requiring further investigation. ISCC is expected to unlock the full potential of intelligent connectivity, paving the way for groundbreaking applications and services.

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传感、通信与计算集成研究综述

即将到来的新一代无线技术6G有望实现超越传统数据中心服务的革命性飞跃。它的目标是开创一个无处不在的智能服务时代，在这个时代，一切都是互联和智能的。这一愿景需要三个基本模块的无缝集成：用于信息获取的感知，用于信息共享的通信，以及用于信息处理和决策的计算。这些模块错综复杂地联系在一起，特别是在边缘学习和推理等复杂任务中。然而，这些模块的性能是相互依赖的，造成了时间、精力和带宽的资源竞争。现有的集成通信与计算（ICC）、集成传感与计算（ISC）和集成传感与通信（ISAC）等技术在解决这一挑战方面取得了部分进展，但它们无法满足极端的性能要求。为了克服这些限制，必须开发综合集成传感、通信和计算的新技术。这种集成的方法，被称为集成传感、通信和计算（ISCC），为提高任务性能提供了系统的视角。本文首先对历史和相关技术如ICC、ISC和ISAC进行了全面的调查，突出了它们的优势和局限性。然后讨论了ISCC的好处、功能和挑战。随后，探索了最先进的ISCC信号设计，以及专门为ISCC量身定制的网络资源管理策略。此外，本文还讨论了在未来先进网络中实现ISCC的令人兴奋的研究机会，以及需要进一步研究的未解决问题。ISCC有望释放智能连接的全部潜力，为突破性的应用和服务铺平道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Surveys and Tutorials COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

80.20

自引率

2.50%

发文量

审稿时长

6 months

期刊介绍： IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues. A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.