no code implementations • 12 Oct 2024 • Wanting Lyu, Songjie Yang, Zhongpei Zhang, Chadi Assi, Chau Yuen
We propose a communication rate and sensing mutual information (MI) maximization problem by flexible beamforming optimization.
1 code implementation • 6 Jul 2024 • Songjie Yang, Jiancheng An, Yue Xiu, Wanting Lyu, Boyu Ning, Zhongpei Zhang, Merouane Debbah, Chau Yuen
Flexible antenna arrays (FAAs), distinguished by their rotatable, bendable, and foldable properties, are extensively employed in flexible radio systems to achieve customized radiation patterns.
no code implementations • 8 Jun 2024 • Songjie Yang, Yizhou Peng, Wanting Lyu, Ya Li, Hongjun He, Zhongpei Zhang, Chau Yuen
Building on this, we propose four estimation frameworks using the sparse recovery theory: polar-domain estimation (PD-E), multi-angular-domain estimation (MAD-E), two-stage polar-angular-domain estimation (TS-PAD-E), and two-dimensional polar-angular-domain estimation (2D-PAD-E).
no code implementations • 17 May 2024 • Wanting Lyu, Songjie Yang, Yue Xiu, Zhongpei Zhang, Chadi Assi, Chau Yuen
This paper investigates flexible beamforming design in an integrated sensing and communication (ISAC) network with movable antennas (MAs).
no code implementations • 17 May 2024 • Wanting Lyu, Songjie Yang, Yue Xiu, Xinyi Chen, Zhongpei Zhang, Chadi Assi, Chau Yuan
A dual-robust design of beamforming is investigated in an integrated sensing and communication (ISAC) system. Existing research on robust ISAC waveform design, while proposing solutions to imperfect channel state information (CSI), generally depends on prior knowledge of the target's approximate location to design waveforms.
no code implementations • 2 Jan 2024 • Wanting Lyu, Songjie Yang, Yue Xiu, Ya Li, Hongjun He, Chau Yuen, Zhongpei Zhang
In this paper, reconfigurable intelligent surface (RIS) is employed in a millimeter wave (mmWave) integrated sensing and communications (ISAC) system.
1 code implementation • 19 Oct 2023 • Yizhou Peng, Songjie Yang, Wanting Lyu, Ya Li, Hongjun He, Zhongpei Zhang, Chadi Assi
In this letter, a weighted minimum mean square error (WMMSE) empowered integrated sensing and communication (ISAC) system is investigated.
no code implementations • 15 Sep 2023 • Songjie Yang, Wanting Lyu, Zhongpei Zhang, Chau Yuen
Nevertheless, XL-arrays introduce deviations in electromagnetic propagation compared to traditional arrays, fundamentally challenging the assumption with the planar-wave model.
no code implementations • 12 Sep 2023 • Wanting Lyu, Yue Xiu, Xinyang Li, Songjie Yang, Phee Lep Yeoh, Yonghui Li, Zhongpei Zhang
Furthermore, the trade-off between sensing and communication is analyzed and demonstrated in the simulation results.
1 code implementation • 12 Sep 2023 • Songjie Yang, Xinyi Chen, Yue Xiu, Wanting Lyu, Zhongpei Zhang, Chau Yuen
By employing the Riemann sum, closed-form CRB expressions are derived for the spherical wavefront-based WSMS (SW-WSMS).
no code implementations • 4 Oct 2022 • Wanting Lyu, Yue Xiu, Songjie Yang, Chau Yuen, Zhongpei Zhang
The proposed hybrid RISs schemes can achieve 92% of the sum rate but 188% of EE of active RISs schemes.
no code implementations • 28 Jul 2022 • Songjie Yang, Chenfei Xie, Mingwei Wang, Zhongpei Zhang
Recent research has focused on reconfigurable intelligent surface (RIS)-assisted cell-free systems with the goal of enhancing coverage and lowering the cost of cell-free networks.
no code implementations • 28 Jul 2022 • Songjie Yang, Baojuan Liu, Zhiqin Hong, Zhongpei Zhang
In this work, we investigate the issue of mmWave BA and present a novel beam alignment scheme on the basis of a machine learning strategy, Bayesian optimization (BO).
no code implementations • 28 Jul 2022 • Songjie Yang, Chenfei Xie, Dongli Wang, Zhongpei Zhang
Given the high degree of computational complexity of the channel estimation technique based on the conventional one-dimensional (1-D) compressive sensing (CS) framework employed in the hybrid beamforming architecture, this study proposes two low-complexity channel estimation strategies.
no code implementations • 28 Jul 2022 • Songjie Yang, Baojuan Liu, Zhiqin Hong, Zhongpei Zhang
A novel sparse array synthesis method for non-uniform planar arrays is proposed, which belongs to compressive sensing (CS)-based systhesis.
no code implementations • 6 May 2022 • Wanting Lyu, Yue Xiu, Yang Zhao, Chadi Assi, Zhongpei Zhang
In this paper, we investigate an outdoor and indoor wireless communication network with the assistance of a novel relay-aided double-sided reconfigurable intelligent surface (RIS).
no code implementations • 31 Dec 2021 • Songjie Yang, Wanting Lyu, Zhongpei Zhang
Finally, our simulation results reveal that it is of paramount significance to optimize antenna elements positions for the subarray synthesis performance on the one hand and demonstrate the excellent performances of proposed schemes in comparison with other competitive state-of-the-art subarray synthesis methods on the other hand.
no code implementations • 14 Nov 2021 • Wanting Lyu, Yue Xiu, Jun Zhao, Zhongpei Zhang
In this letter, a reconfigurable intelligent surface (RIS)-assisted simultaneous wireless information and power transfer (SWIPT) network is investigated.
no code implementations • 18 Jan 2021 • Yue Xiu, Wei Sun, Jiao Wu, Guan Gui, Ning Wei, Zhongpei Zhang
The solution to transmit beamforming at the BS and the phase shifts at the IRS are derived by using the successive convex approximation (SCA)-based algorithm, and a greedy algorithm is proposed to design the IRS switch vector.
no code implementations • 9 Oct 2020 • Yue Xiu, Jun Zhao, Zhongpei Zhang
In this letter, we investigate the secrecy rate of an reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) system with hardware limitations.
no code implementations • 11 Jul 2020 • Yue Xiu, Jun Zhao, Wei Sun, Marco Di Renzo, Guan Gui, Zhongpei Zhang, Ning Wei
Then, we solve the power allocation problem under fixed phase shifts of the RIS and hybrid beamforming.
no code implementations • 26 Jun 2020 • Yue Xiu, Jun Zhao, Chau Yuen, Zhongpei Zhang, Guan Gui
In this system, the secrecy rate is maximized by controlling the on-off status of each IRS as well as optimizing the phase shift matrix of the IRSs.