Specific Beamforming for Multi-UAV Networks: A Dual Identity-Based ISAC Approach

Yanpeng Cui1; Qixun Zhang1; Zhiyong Feng1; Fan Liu2; Ce Shi1; Jinpo Fan1; Ping Zhang1

10.1109/ICC45041.2023.10279501

2023-05-28

IEEE International Conference on Communications (IEEE ICC)

1938-1883

978-1-5386-7463-5

ICC 2023 - IEEE International Conference on Communications

2023-May

4979-4985

28 May-1 June 2023

Rome, Italy

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

IEEE

Beam alignment is essential to compensate for the high path loss in the millimeter-wave (mmWave) Unmanned Aerial Vehicle (UAV) network. The integrated sensing and communication (ISAC) technology has been envisioned as a promising solution to enable efficient beam alignment in the dynamic UAV network. However, since the digital identity (DID) is not contained in the reflected echoes, the conventional ISAC solution has to either periodically feed back the D-ID to distinguish beams for multi-UAVs or suffer the beam errors induced by the separation of D-ID and physical identity (P-ID). This paper presents a novel dual identity association (DIA)-based ISAC approach, the first solution that enables specific, fast, and accurate beamforming towards multiple UAVs. In particular, the P-IDs extracted from echo signals are distinguished dynamically by calculating the feature similarity according to their prevalence, and thus the DIA is accurately achieved. We also present the extended Kalman filtering scheme to track and predict P-IDs, and the specific beam is thereby effectively aligned toward the intended UAVs in dynamic networks. Numerical results show that the proposed DIA-based ISAC solution significantly outperforms the conventional methods in association accuracy and communication performance.

Integrated sensing and communication UAV networks Beamforming Digital and physical identity

其他

英语

EI ; CPCI-S

Major Research Projects of the National Natural Science Foundation of China[92267202]

Telecommunications

Telecommunications

WOS:001094862605017

20234815114772

Antennas ; Dynamics ; Electronic document identification systems ; Kalman filters ; Millimeter waves ; Numerical methods ; Unmanned aerial vehicles (UAV)

Aircraft, General:652.1 ; Electromagnetic Waves:711 ; Electromagnetic Waves in Relation to Various Structures:711.2 ; Computer Applications:723.5 ; Numerical Methods:921.6

IEEE

1.Beijing University of Posts and Telecommunications, Beijing, P.R.China
2.Southern University of Science and Technology, Shenzhen, P.R.China

Yanpeng Cui,Qixun Zhang,Zhiyong Feng,et al. Specific Beamforming for Multi-UAV Networks: A Dual Identity-Based ISAC Approach[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2023:4979-4985.