no code implementations • 23 Apr 2024 • Bohao Lu, Zhiqing Wei, Huici Wu, Xinrui Zeng, Lin Wang, Xi Lu, Dongyang Mei, Zhiyong Feng
Utilizing widely distributed communication nodes to achieve environmental reconstruction is one of the significant scenarios for Integrated Sensing and Communication (ISAC) and a crucial technology for 6G.
no code implementations • 19 Apr 2024 • Xi Lu, Zhiqing Wei, Ruizhong Xu, Lin Wang, Bohao Lu, Jinghui Piao
Specifically, a multiple signal classification (MUSIC)-based symbol-level fusion method is proposed for UAV localization and velocity estimation, consisting of a single-BS preprocessing step and a lattice points searching step.
no code implementations • 5 Mar 2024 • Zhiqing Wei, Haotian Liu, Zhiyong Feng, Huici Wu, Fan Liu, Qixun Zhang
With the mobile communication system evolving into 6th-generation (6G), the Internet of Everything (IoE) is becoming reality, which connects human, big data and intelligent machines to support the intelligent decision making, reconfiguring the traditional industries and human life.
no code implementations • 12 Oct 2023 • Yanpeng Cui, Qixun Zhang, Zhiyong Feng, Qin Wen, Ying Zhou, Zhiqing Wei, Ping Zhang
This paper presents a novel sensing-assisted beam management approach, the first solution that fully utilizes the information from the visual domain to improve communication performance.
no code implementations • 11 Oct 2023 • Jinzhu Jia, Zhiqing Wei, Ruiyun Zhang, Lin Wang
Despite the millimeter wave technology fulfills the low-latency and high data transmission, it will cause severe Doppler Frequency Shift (DFS) for high-speed vehicular network, which tremendously damages the communication performance.
no code implementations • 11 Oct 2023 • Zhiqing Wei, Chenfei Li, Yanpeng Cui, Xu Chen, Zeyang Meng, Zhiyong Feng
In order to further reduce the convergence time of ND, this paper introduces the ISAC-enabled gossip mechanism into the ND algorithm.
1 code implementation • 10 Oct 2023 • Bohao Lu, Zhiqing Wei, Lin Wang, Ruiyun Zhang, Zhiyong Feng
Integrated Sensing and Communication(ISAC) has become a key technology for the 5th generation (5G) and 6th generation (6G) wireless communications due to its high spectrum utilization efficiency.
no code implementations • 4 Oct 2023 • Haotian Liu, Zhiqing Wei, Fengyun Li, Yuewei Lin, Hanyang Qu, Huici Wu, Zhiyong Feng
The ISAC-enabled mobile communication system regularly operate in non-continuous spectrum bands due to crowded licensed frequency bands.
no code implementations • 25 Sep 2023 • Zhiqing Wei, Haotian Liu, Xinyi Yang, Wangjun Jiang, Huici Wu, Xingwang Li, Zhiyong Feng
The future mobile communication systems will support intelligent applications such as Internet of Vehicles (IoV) and Extended Reality (XR).
no code implementations • 14 Aug 2023 • Mingyue Zhu, Zhiqing Wei, Chen Qiu, Wangjun Jiang, Huici Wu, Zhiying Feng
Firstly, the block coordinate descent (BCD) and successive convex approximation (SCA) techniques are applied to iteratively optimize the trajectory of the main UAV and the sensor transmission schedule, so as to maximize the minimum amount of data uploaded by the sensor.
no code implementations • 13 Aug 2023 • Zhiqing Wei, Ruizhong Xu, Zhiyong Feng, Huici Wu, Ning Zhang, Wangjun Jiang, Xiaoyu Yang
This work may provide a guideline for the design of multi-BS cooperative sensing system to exploit the widely deployed networked mobile communication system.
no code implementations • 4 Aug 2023 • Wangjun Jiang, Zhiqing Wei, Zhiyong Feng
To evaluate the performance of 5G signal in SLAM, we analyze and simulate the mapping error of 5G signal sensing by ET-GOPSA.
no code implementations • 14 Jul 2023 • Wangjun Jiang, Dingyou Ma, Zhiqing Wei, Zhiyong Feng, Ping Zhang
From the simulation results, ISAC-NET obtains better communication performance than the traditional signal demodulation algorithm, which is close to OAMP-Net2.
no code implementations • 13 Jul 2023 • Lin Wang, Zhiqing Wei, Liyan Su, Zhiyong Feng, Huici Wu, Dongsheng Xue
Integrated sensing and communication (ISAC) will greatly enhance the efficiency of physical resource utilization.
no code implementations • 30 Jun 2023 • Yanpeng Cui, Zhiyong Feng, Qixun Zhang, Zhiqing Wei, Chenlong Xu, Ping Zhang
This tutorial for the intelligent and efficient UAV network brings new insight on providing dual-domain identity via ISAC technology, with an eye on trusted and swift communication research tailored for the 6G UAV network.
no code implementations • 8 Jun 2023 • Zhiqing Wei, Hanyang Qu, Wangjun Jiang, Kaifeng Han, Huici Wu, Zhiyong Feng
In this paper, phase coding is applied in ISAC signal design to improve the anti-noise performance of ISAC signal.
no code implementations • 21 Nov 2022 • Zhiqing Wei, YuAn Wang, Liang Ma, Shaoshi Yang, Zhiyong Feng, Chengkang Pan, Qixun Zhang, Yajuan Wang, Huici Wu, Ping Zhang
In this paper, we investigate how to apply the positioning reference signal (PRS) of the 5th generation (5G) mobile communications in radar sensing.
no code implementations • 11 Nov 2022 • Zhiqing Wei, Xinyi Yang, Chunwei Meng, Xiaoyu Yang, Kaifeng Han, Chen Qiu, Huici Wu
This paper proves the efficiency of IRS enabled ISAC system, which motivates the implementation of IRS to enhance the sensing capability in ISAC system.
no code implementations • 20 May 2022 • Yi Wang, Zhiqing Wei, Zhiyong Feng
This article provides an overview of the beam training and tracking technologies on mmWave bands and reveals the insights for future research in the 6th Generation (6G) mobile network.
1 code implementation • 19 May 2022 • Zihan Li, Wentao Chen, Zhiqing Wei, Xingqi Luo, Bing Su
In addition, to cope with new attacks in real-world deployment, we propose an Active Adaption Resampling (AAR) method, which can better discover the distribution of unseen sample data and adapt the parameters of encoder.
no code implementations • 24 Aug 2021 • Qixun Zhang, Xinna Wang, Zhenhao Li, Zhiqing Wei
Finally, both simulation and hardware testbed are designed, and the results show that the proposed CTRA algorithm can improve the radar total mutual information by 26%, and the feasibility of the proposed JSCIS is achieved with an acceptable radar ranging accuracy within 0. 25 m, as well as a stable data rate of 2. 8 Gbps using the 28 GHz mmWave frequency band.
no code implementations • 6 Aug 2021 • Zhiqing Wei, Fengkai Zhang, Shuo Chang, Yangyang Liu, Huici Wu, Zhiyong Feng
Millimeter wave (mmWave) radar and vision fusion is a mainstream solution for accurate obstacle detection.