Search Results for author: Kangda Zhi

Found 11 papers, 0 papers with code

Exploit High-Dimensional RIS Information to Localization: What Is the Impact of Faulty Element?

no code implementations25 Mar 2024 Tuo Wu, Cunhua Pan, Kangda Zhi, Hong Ren, Maged Elkashlan, Cheng-Xiang Wang, Robert Schober, Xiaohu You

Then our objective is to regain the information lost from the faulty elements and reconstruct the complete high-dimensional RIS information for localization.

Transfer Learning

Employing High-Dimensional RIS Information for RIS-aided Localization Systems

no code implementations25 Mar 2024 Tuo Wu, Cunhua Pan, Kangda Zhi, Hong Ren, Maged Elkashlan, Jiangzhou Wang

Then, we propose a transfer learning based fingerprint (TFBF) algorithm that employs the reconstructed high-dimensional RIS information for MU localization.

Transfer Learning

Joint Beamforming Design for Double Active RIS-assisted Radar-Communication Coexistence Systems

no code implementations7 Feb 2024 Mengyu Liu, Hong Ren, Cunhua Pan, Boshi Wang, Zhiyuan Yu, Ruisong Weng, Kangda Zhi, Yongchao He

However, when radar and communication equipment coexist in the same system, i. e. radar-communication coexistence (RCC), the interference from communication systems to radar can be large and cannot be ignored.

FAS-assisted Wireless Powered Communication Systems

no code implementations3 Feb 2024 Xiazhi Lai, Kangda Zhi, Wanyi Li, Tuo Wu, Cunhua Pan, Maged Elkashlan

Fluid Antenna System (FAS) is recognized as a promising technology for enhancing communication performance.

Performance Analysis and Low-Complexity Design for XL-MIMO with Near-Field Spatial Non-Stationarities

no code implementations31 Mar 2023 Kangda Zhi, Cunhua Pan, Hong Ren, Kok Keong Chai, Cheng-Xiang Wang, Robert Schober, Xiaohu You

Our analytical results indicate that a limited part of the XL-array receives the majority of the signal power in the near field, which leads to a notion of visibility region (VR) of a user.

Two-Timescale Transmission Design for RIS-Aided Cell-Free Massive MIMO Systems

no code implementations16 Oct 2022 Jianxin Dai, Jin Ge, Kangda Zhi, Cunhua Pan, Zaichen Zhang, Jiangzhou Wang, Xiaohu You

Finally, the numerical results demonstrate the correctness of our derived expressions and the benefits of deploying large-size RISs into cell-free mMIMO systems.

Toward Secure and Private Over-the-Air Federated Learning

no code implementations14 Oct 2022 Na Yan, Kezhi Wang, Kangda Zhi, Cunhua Pan, Kok Keong Chai, H. Vincent Poor

In this paper, a novel secure and private over-the-air federated learning (SP-OTA-FL) framework is studied where noise is employed to protect data privacy and system security.

Federated Learning Scheduling +1

Active RIS Versus Passive RIS: Which Is Superior with the Same Power Budget?

no code implementations14 Dec 2021 Kangda Zhi, Cunhua Pan, Hong Ren, Kok Keong Chai, Maged Elkashlan

This letter theoretically compares the active reconfigurable intelligent surface (RIS)-aided system with the passive RIS-aided system.

An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems

no code implementations11 Dec 2021 Cunhua Pan, Gui Zhou, Kangda Zhi, Sheng Hong, Tuo Wu, Yijin Pan, Hong Ren, Marco Di Renzo, A. Lee Swindlehurst, Rui Zhang, Angela Yingjun Zhang

In the past as well as present wireless communication systems, the wireless propagation environment is regarded as an uncontrollable black box that impairs the received signal quality, and its negative impacts are compensated for by relying on the design of various sophisticated transmission/reception schemes.

Power Scaling Law Analysis and Phase Shift Optimization of RIS-aided Massive MIMO Systems with Statistical CSI

no code implementations26 Oct 2020 Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang

We consider the Rician channel model and exploit the long-time statistical CSI to design the phase shifts of the RIS, while the maximum ratio combination (MRC) technique is applied for the active beamforming at the base station (BS) relying on the instantaneous CSI.

Uplink Achievable Rate of Intelligent Reflecting Surface-Aided Millimeter-Wave Communications with Low-Resolution ADC and Phase Noise

no code implementations2 Aug 2020 Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang

In this paper, we derive the uplink achievable rate expression of intelligent reflecting surface (IRS)-aided millimeter-wave (mmWave) systems, taking into account the phase noise at IRS and the quantization error at base stations (BSs).

Quantization

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