Search Results for author: Gui Zhou

Found 16 papers, 0 papers with code

Beamforming Design for Double-Active-RIS-aided Communication Systems with Inter-Excitation

no code implementations17 Mar 2024 Boshi Wang, Cunhua Pan, Hong Ren, Zhiyuan Yu, Yang Zhang, Mengyu Liu, Gui Zhou

Due to the signal amplification capability of active RISs, the mutual influence between active RISs, which is termed as the "inter-excitation" effect, cannot be ignored.

Radar Rainbow Beams For Wideband mmWave Communication: Beam Training And Tracking

no code implementations14 Mar 2024 Gui Zhou, Moritz Garkisch, Zhendong Peng, Cunhua Pan, Robert Schober

Three detection and estimation schemes are proposed based on radar rainbow beams for estimation of the users' angles, distances, and velocities, which are then exploited for communication beamformer design.

User Tracking and Direction Estimation Codebook Design for IRS-Assisted mmWave Communication

no code implementations11 Mar 2024 Moritz Garkisch, Sebastian Lotter, Gui Zhou, Vahid Jamali, Robert Schober

The proposed UT algorithm requires only a low overhead for direction and channel estimation and avoids outdated IRS phase shifts.

Reconfigurable Intelligent Surface-Aided Dual-Function Radar and Communication Systems With MU-MIMO Communication

no code implementations8 Feb 2024 Yasheng Jin, Hong Ren, Cunhua Pan, Zhiyuan Yu, Ruisong Weng, Boshi Wang, Gui Zhou, Yongchao He, Maged Elkashlan

In this paper, we investigate an reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system.

A Framework for Mutual Information-based MIMO Integrated Sensing and Communication Beamforming Design

no code implementations15 Nov 2022 Jin Li, Gui Zhou, Tantao Gong, Nan Liu

For the case of a single communication user, we consider three types of echo interference, no interference, a point interference, and an extended interference.

Error Propagation and Overhead Reduced Channel Estimation for RIS-Aided Multi-User mmWave Systems

no code implementations23 Aug 2022 Zhendong Peng, Cunhua Pan, Gui Zhou, Hong Ren

In this paper, we propose a novel two-stage based uplink channel estimation strategy with reduced pilot overhead and error propagation for a reconfigurable intelligent surface (RIS)-aided multi-user (MU) millimeter wave (mmWave) 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.

Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems

no code implementations28 Jun 2021 Gui Zhou, Cunhua Pan, Hong Ren, Petar Popovski, A. Lee Swindlehurst

In the first coherence block, we propose a two-phase channel estimation method, in which the cascaded channel of one typical user is estimated in Phase I based on the linear correlation among cascaded paths, while the cascaded channels of other users are estimated in Phase II by utilizing the partial CSI of the common base station (BS)-RIS channel obtained in Phase I.

Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments

no code implementations23 Dec 2020 Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Zhangjie Peng

In this paper, we study the robust transmission design for a reconfigurable intelligent surface (RIS)-aided secure communication system in the presence of transceiver hardware impairments.

Information Theory Signal Processing Information Theory

Outage Constrained Robust Transmission Design for IRS-aided Secure Communications with Direct Communication Links

no code implementations19 Nov 2020 Sheng Hong, Cunhua Pan, Gui Zhou, Hong Ren, Kezhi Wang

In this paper, we investigate the robust outage constrained transmission design for an intelligent reflecting surface (IRS) aided secure communication system.

Stochastic Learning-Based Robust Beamforming Design for RIS-Aided Millimeter-Wave Systems in the Presence of Random Blockages

no code implementations21 Sep 2020 Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Maged Elkashlan, Marco Di Renzo

To enhance the robustness of hybrid analog-digital beamforming in the presence of random blockages, we formulate a stochastic optimization problem based on the minimization of the sum outage probability.

Stochastic Optimization

User Cooperation for IRS-aided Secure SWIPT MIMO Systems

no code implementations9 Jun 2020 Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Kok Keong Chai, Kai-Kit Wong

In this paper, intelligent reflecting surface (IRS) is proposed to enhance the physical layer security in the Rician fading channel where the angular direction of the eavesdropper is aligned with a legitimate user.

A Framework of Robust Transmission Design for IRS-aided MISO Communications with Imperfect Cascaded Channels

no code implementations20 Jan 2020 Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Arumugam Nallanathan

Specifically, the transmit power minimization problems are formulated subject to the worst-case rate constraints under the bounded CSI error model and the rate outage probability constraints under the statistical CSI error model, respectively.

Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems

no code implementations14 Nov 2019 Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Marco Di Renzo, Arumugam Nallanathan

In this paper, we study the worst-case robust beamforming design for an IRS-aided multiuser multiple-input single-output (MU-MISO) system under the assumption of imperfect CSI.

Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems

no code implementations10 Sep 2019 Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Arumugam Nallanathan

We aim for maximizing the sum rate of all the multicasting groups by the joint optimization of the precoding matrix at the base station (BS) and the reflection coefficients at the IRS under both the power and unit-modulus constraint.

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