Integrated Sensing and Over-the-Air Computation: Dual-Functional MIMO Beamforming Design

Xiaoyang Li1; Fan Liu1; Ziqin Zhou1; Guangxu Zhu2; Shuai Wang3; Kaibin Huang4; Yi Gong1

10.1109/6GNet54646.2022.9830500

2022

1st International Conference on 6G Networking (6GNet)

978-1-6654-6764-3

2022 1st International Conference on 6G Networking (6GNet)

1-8

6-8 July 2022

Paris, France

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

To support the unprecedented growth of the Internet-of-Things (IoT) applications and the radio access of tremendous IoT devices, two new technologies have emerged recently to overcome the shortage of spectrum resources. The first one, known as integrated sensing and communication (ISAC), aims to share the spectrum between radar sensing and data communication. The second one, called over-the-air computation (AirComp), enables simultaneous transmission and computation of data from multiple IoT devices at the same frequencies. The promising performance of ISAC and AirComp motivates the current work on developing a framework that combines the merits of both called integrated sensing and AirComp (ISAA). In the framework, a dual-functional beamforming scheme is designed to support multiple-input-multiple-output (MIMO) ISAA simultaneously. The performance metrics of radar sensing and AirComp are evaluated by the mean squared errors of the estimated target response matrix and the received computation results, respectively. The design challenge of MIMO ISAA lies in the joint optimization of transmit beamformers at the IoT devices, and aggregation beamformer at the server, which results in a nonconvex problem. To solve this problem, an algorithmic solution based on the technique of semidefinite relaxation is proposed. The results reveal that the transmit beamformer tries to balance the performance of sensing and AirComp, while the aggregation beamformer aims at reducing the AirComp error via channel equalization. Simulations are offered to confirm the efficiency of the proposed design.

Integrated sensing and communication (ISAC) over-the-air computation (AirComp) multiple-input multiple-output (MIMO) beamforming

第一

英语

EI ; CPCI-S

National Key R&D Program of China[2019YFB1802800]

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:000860313400037

20223412603892

Feedback control ; Internet of things ; Mean square error ; MIMO radar ; MIMO systems ; Radar signal processing

Electromagnetic Waves in Relation to Various Structures:711.2 ; Information Theory and Signal Processing:716.1 ; Radar Systems and Equipment:716.2 ; Data Communication, Equipment and Techniques:722.3 ; Computer Software, Data Handling and Applications:723 ; Control Systems:731.1 ; Mathematical Statistics:922.2

IEEE

1.Southern University of Science and Technology, Shenzhen, China
2.Shenzhen Research Institute of Big Data, Shenzhen, China
3.Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
4.The University of Hong Kong, Hong Kong

Xiaoyang Li,Fan Liu,Ziqin Zhou,et al. Integrated Sensing and Over-the-Air Computation: Dual-Functional MIMO Beamforming Design[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:1-8.