Fan Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Fan Li has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Chao Fang
Beijing University of Technology
1 shared publication - Huamin Chen
School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China
1 shared publication - Peng Wang
Beijing Institute of Remote Sensing Equipment, Beijing 100143, China
1 shared publication - Shaofu Lin
Beijing University of Technology
1 shared publication - Siyu Huang
Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
1 shared publication - Tao Chen
MediaTek (Beijing), Beijing 100015, China
1 shared publication
Latest Publications
- Open Access
A Joint Positioning Algorithm in Industrial IoT Environments with mm-Wave Communications
With the real restriction of packet size and transmission power, a joint UL-AoA (Uplink Angle of Arrival) and UL-TDOA (Uplink Time Difference of Arrival) positioning method is discussed for the Industrial Internet of Things (IIoT), which demands high accuracy of position information. One motivation of the UL positioning method of IIoT is an asymmetric network and uplink traffic is dominant in most identified scenarios. Further, IIoT sensors are power limited for low cost, compared to the transmission power of base stations and other normal user equipment. This paper considers an environment of a 5G-enabled IIoT network with massive Multiple input multiple output (MIMO) antennas, beamforming and millimeter operating bands. After reviewing downlink positioning reference signal (PRS) and uplink sounding reference signal for positioning (SRS-Pos), a general system model and a theoretical localization problem is derived under the joint positioning method. The provided simulation results help to investigate the impact of system configurations on positioning measurements. Further, through the test in this paper, it is proved that joint positioning outperforms that of the time only or angle only method.
Open AccessA Joint Positioning Algorithm in Industrial IoT Environments with mm-Wave Communications
With the real restriction of packet size and transmission power, a joint UL-AoA (Uplink Angle of Arrival) and UL-TDOA (Uplink Time Difference of Arrival) positioning method is discussed for the Industrial Internet of Things (IIoT), which demands high accuracy of position information. One motivation of the UL positioning method of IIoT is an asymmetric network and uplink traffic is dominant in most identified scenarios. Further, IIoT sensors are power limited for low cost, compared to the transmission power of base stations and other normal user equipment. This paper considers an environment of a 5G-enabled IIoT network with massive Multiple input multiple output (MIMO) antennas, beamforming and millimeter operating bands. After reviewing downlink positioning reference signal (PRS) and uplink sounding reference signal for positioning (SRS-Pos), a general system model and a theoretical localization problem is derived under the joint positioning method. The provided simulation results help to investigate the impact of system configurations on positioning measurements. Further, through the test in this paper, it is proved that joint positioning outperforms that of the time only or angle only method.