A5056356455- Advanced Wireless Communication Technologies
- Antenna Design and Analysis
- Full-Duplex Wireless Communications
- Advanced MIMO Systems Optimization
- Antenna Design and Optimization
- Energy Harvesting in Wireless Networks
- Advanced Antenna and Metasurface Technologies
- Satellite Communication Systems
- Optical Wireless Communication Technologies
- Molecular Communication and Nanonetworks
- Privacy-Preserving Technologies in Data
- Millimeter-Wave Propagation and Modeling
- Vehicular Ad Hoc Networks (VANETs)
- IoT and Edge/Fog Computing
- Gaze Tracking and Assistive Technology
- Human Mobility and Location-Based Analysis
Peking University
2021-2025
Intelligent omni-surfaces (IOS) have attracted great attention recently due to its potential achieve full-dimensional communications by simultaneously reflecting and refracting signals toward both sides of the surface. However, it still remains an open question whether reciprocity holds between uplink downlink channels in IOS-aided wireless communications. In this work, we first present a physics-compliant IOS-related channel model, based on which is investigated. We then demonstrate...
As one enabling technique of the future sixth generation (6G) network, ultra-massive multiple- input-multiple-output (MIMO) can support high-speed data transmissions and cell coverage extension. However, it is hard to realize MIMO via traditional phased arrays due unacceptable power consumption. To address this issue, reconfigurable intelligent surface- based (RIS-based) antennas are an energy- efficient enabler since they free energy-hungry phase shifters. In article, we report performances...
Holographic MIMO communications, enabled by large-scale antenna arrays with quasi-continuous apertures, is a potential technology for spectrum efficiency improvement. However, the increased aperture size extends range of Fresnel region, leading to hybrid near-far field communication mode. The users and scatterers randomly lie in near-field far-field zones, thus, conventional far-field-only near-field-only channel estimation methods may not work. To tackle this challenge, we demonstrate...
Holographic multiple-input multiple-output (HMIMO) is an emerging technology for 6G communications, in which numerous antenna units are integrated a limited space. As the HMIMO array aperture expands, near-field region of dramatically enlarged, resulting more users being located region. This creates new opportunities wireless communications. In this context, evaluation spatial degrees freedom (DoF) multi-user systems channels open problem, as methods analysis utilized evaluating DoF...
Extremely large-scale multiple-input multiple-output (XL-MIMO) communications, enabled by numerous antenna elements integrated into large surfaces, can provide increased effective degree of freedom (EDoF) to achieve high diversity gain. However, it remains an open problem that how the EDoF is influenced directional radiation pattern elements. In this work, empowered wavenumber-domain channel representation, we analyze in a general case where directivity antennas, determined structure and...
To realize holographic communications, a potential technology for spectrum efficiency improvement in the future sixth-generation (6G) network, antenna arrays inlaid with numerous elements will be deployed. However, increase aperture size makes some users lie Fresnel region, leading to hybrid near-field and far-field communication mode, where conventional channel estimation methods no longer work well. tackle above challenge, this paper considers hybrid-field multipath environment, each user...
As one enabling technique of the future sixth generation (6G) network, ultra-massive multiple-input-multiple-output (MIMO) can support high-speed data transmissions and cell coverage extension. However, it is hard to realize MIMO via traditional phased arrays due unacceptable power consumption. To address this issue, reconfigurable intelligent surface-based (RIS-based) antennas are an energy-efficient enabler MIMO, since they free energy-hungry phase shifters. In article, we report...
In this paper, we investigate the close contact detection for COVID-19 patients based on heterogeneous mobile edge computing (MEC) framework. Collecting spatial-temporal data of a large number users, base stations equipped with MEC servers organize these via R-tree structure. The cloud center (CC) aggregates from all servers. Considering mobility users as well various positions servers, CC then partitions and assigns tasks to different faster processing. Aiming minimize system latency,...