no code implementations • 23 Dec 2023 • Yifeng Lyu, Han Hu, Rongfei Fan, Zhi Liu, Jianping An, Shiwen Mao
To address these challenges, we study packet routing with ground stations and satellites working jointly to transmit packets, while prioritizing fast communication and meeting energy efficiency and packet loss requirements.
no code implementations • 22 Dec 2023 • Hanxiang He, Han Hu, Xintao Huan, Heng Liu, Jianping An, Shiwen Mao
Deep learning has significantly advanced wireless sensing technology by leveraging substantial amounts of high-quality training data.
no code implementations • 22 Sep 2023 • Pingyue Yue, Yixuan Li, Yue Li, Rui Zhang, Shuai Wang, Jianping An
Low Earth Orbit (LEO) satellites are being extensively researched in the development of secure Internet of Remote Things (IoRT).
no code implementations • 10 Sep 2023 • Guanyu Xu, Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Shiwen Mao
Our objective is to achieve fast and energy-efficient collaborative inference while maintaining comparable accuracy compared with large ViTs.
1 code implementation • 24 May 2022 • Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
To tackle this challenge, we propose a framework termed collaborative data-free knowledge distillation via multi-level feature sharing (CDFKD-MFS), which consists of a multi-header student module, an asymmetric adversarial data-free KD module, and an attention-based aggregation module.
1 code implementation • 24 May 2022 • Zhiwei Hao, Guanyu Xu, Yong Luo, Han Hu, Jianping An, Shiwen Mao
In this paper, we study the multi-agent collaborative inference scenario, where a single edge server coordinates the inference of multiple UEs.
no code implementations • 7 Apr 2022 • He Zhou, Haibo Zhou, Jianguo Li, Kai Yang, Jianping An, Xuemin, Shen
By combining the PCP and MRWP model, the distributions of distances from a typical terminal to the BSs in different tiers are derived.
no code implementations • 26 Feb 2022 • Boxiao Shen, Yongpeng Wu, Jianping An, Chengwen Xing, Lian Zhao, Wenjun Zhang
Next, by exploring the sparsity of channel in the delay-Doppler-angle domain, a two-dimensional pattern coupled hierarchical prior with the sparse Bayesian learning and covariance-free method (TDSBL-CF) is developed for the channel estimation.
no code implementations • 12 Jan 2022 • Chenghao Feng, Wenqian Shen, Jianping An, Lajos Hanzo
Specifically, the associated bandwidth-efficiency maximization problem is transformed into a series of sub-problems, where the sub-array of phase shifters and RIS elements are jointly optimized for maximizing each sub-array's rate.
no code implementations • 9 Jan 2022 • Pingyue Yue, Jianping An, Jiankang Zhang, Jia Ye, Gaofeng Pan, Shuai Wang, Pei Xiao, Lajos Hanzo
Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-increasing user demands, reduced costs, and technological progress.
no code implementations • 5 Jun 2021 • Siqi Ma, Wenqian Shen, Jianping An, Lajos Hanzo
Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of wideband communication systems by using low-cost passive elements for reflecting the impinging signals with adjustable phase shifts.
no code implementations • 2 Jun 2021 • Chenghao Feng, Wenqian Shen, Xinyu Gao, Jianping An
Firstly, we decouple the optimization problem and design the active beamforming for a given IRS configuration.
no code implementations • 25 Feb 2021 • Shun Zhang, Yushan Liu, Feifei Gao, Chengwen Xing, Jianping An, Octavia A. Dobre
With the depletion of spectrum, wireless communication systems turn to exploit large antenna arrays to achieve the degree of freedom in space domain, such as millimeter wave massive multi-input multioutput (MIMO), reconfigurable intelligent surface assisted communications and cell-free massive MIMO.
Information Theory Signal Processing Information Theory
no code implementations • 2 Sep 2020 • Yu Mei, Jianping An, Jianjun Ma, Lothar Moeller, John F. Federici
Wireless networks operating at terahertz (THz) frequencies have been proposed as a promising candidate to support the ever-increasing capacity demand, which cannot be satisfied with existing radio-frequency (RF) technology.
no code implementations • 18 Jul 2020 • Yuwen Yang, Feifei Gao, Chengwen Xing, Jianping An, Ahmed Alkhateeb
However, the research on MSI aided intelligent communications has not yet explored how to integrate and fuse the multimodal sensory data, which motivates us to develop a systematic framework for wireless communications based on deep multimodal learning (DML).
no code implementations • 21 Jun 2020 • Gaofeng Pan, Hongjiang Lei, Jianping An, Shuo Zhang, Mohamed-Slim Alouini
By observing the fact that moving in a straight line is a common flying behavior of unmanned aerial vehicles (UAVs) in normal applications, e. g., power line inspections, and air patrols along with highway/streets/borders, in this paper we investigate the secrecy outage performance of a UAV system with linear trajectory, where a UAV ($S$) flies in a straight line and transmits its information over the downlink to a legitimate receiver ($D$) on the ground while an eavesdropping UAV ($E$) trying to overhear the information delivery between $S$ and $D$.
no code implementations • 26 May 2020 • Gaofeng Pan, Jia Ye, Jianping An, Mohamed-Slim Alouini
Full-duplex (FD) transmission has already been regarded and developed as a promising method to improve the utilization efficiency of the limited spectrum resource, as transmitting and receiving are allowed to simultaneously occur on the same frequency band.
no code implementations • 19 Jan 2020 • Bei Wang, Jianping An
This paper addresses the importance of full-image supervision for monocular depth estimation.
no code implementations • 14 Oct 2019 • Hang Yuan, Nan Yang, Kai Yang, Chong Han, Jianping An
We consider a three-dimensional wideband THz channel by incorporating the joint effect of molecular absorption, high sparsity, and multi-path fading, and consider the carrier frequency offset in multi-carrier systems.
no code implementations • 28 Jun 2019 • Bei Wang, Jianping An, Jiayan Cao
Object detection in point cloud data is one of the key components in computer vision systems, especially for autonomous driving applications.