Integrated Communication, Sensing, and Computation Framework for 6G Networks

Author:

Chen Xu12,Feng Zhiyong2,Zhang J. Andrew3ORCID,Yang Zhaohui45,Yuan Xin3,He Xinxin2,Zhang Ping6

Affiliation:

1. China Academy of Information and Telecommunications Technology (CAICT), Beijing 100191, China

2. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

3. Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007, Australia

4. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310007, China

5. Zhejiang Provincial Key Lab of Information Processing, Communication and Networking (IPCAN), Hangzhou 310007, China

6. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Abstract

In the sixth generation (6G) era, intelligent machine network (IMN) applications, such as intelligent transportation, require collaborative machines with communication, sensing, and computation (CSC) capabilities. This article proposes an integrated communication, sensing, and computation (ICSAC) framework for 6G to achieve the reciprocity among CSC functions to enhance the reliability and latency of communication, accuracy and timeliness of sensing information acquisition, and privacy and security of computing to realize the IMN applications. Specifically, the sensing and communication functions can merge into unified platforms using the same transmit signals, and the acquired real-time sensing information can be exploited as prior information for intelligent algorithms to enhance the performance of communication networks. This is called the computing-empowered integrated sensing and communications (ISAC) reciprocity. Such reciprocity can further improve the performance of distributed computation with the assistance of networked sensing capability, which is named the sensing-empowered integrated communications and computation (ICAC) reciprocity. The above ISAC and ICAC reciprocities can enhance each other iteratively and finally lead to the ICSAC reciprocity. To achieve these reciprocities, we explore the potential enabling technologies for the ICSAC framework. Finally, we present the evaluation results of crucial enabling technologies to show the feasibility of the ICSAC framework.

Funder

National Key Research and Development Program of China

Publisher

MDPI AG

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