Search Results for author: Rongen Dong

Found 6 papers, 0 papers with code

Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS

no code implementations26 Mar 2024 Ke Yang, Rongen Dong, Wei Gao, Feng Shu, Weiping Shi, Yan Wang, Xuehui Wang, Jiangzhou Wang

In this paper, single large-scale IRS is divided to multiple small IRSs and a novel multi-IRS-aided multi-stream DM network is proposed to achieve a point-to-point multi-stream transmission by creating $K$ ($\geq3$) DoFs, where multiple small IRSs are placed distributively via multiple unmanned aerial vehicles (UAVs).

Two Enhanced-rate Power Allocation Strategies for Active IRS-assisted Wireless Network

no code implementations15 Oct 2023 Qiankun Cheng, Rongen Dong, Wenlong Cai, Ruiqi Liu, Feng Shu, Jiangzhou Wang

Subsequently, two high-performance PA strategies, enhanced multiple random initialization Newton's (EMRIN) and Taylor polynomial approximation (TPA), are proposed.

Asymptotic Performance Analysis of Large-Scale Active IRS-Aided Wireless Network

no code implementations31 May 2023 Yan Wang, Feng Shu, Zhihong Zhuang, Rongen Dong, Qi Zhang, Di wu, Liang Yang, Jiangzhou Wang

Numerical simulation results show that a 3-bit discrete phase shifter is required to achieve a trivial performance loss for a large-scale active IRS.

Quantization

Enhanced-rate Iterative Beamformers for Active IRS-assisted Wireless Communications

no code implementations16 Dec 2022 Yeqing Lin, Feng Shu, Rongen Dong, Riqing Chen, Siling Feng, Weiping Shi, Jing Liu, Jiangzhou Wang

In this paper, in order to boost the achievable rate of user in such a wireless network, three enhanced-rate iterative beamforming methods are proposed by designing the amplifying factors and the corresponding phases at active IRS.

Three High-rate Beamforming Methods for Active IRS-aided Wireless Network

no code implementations5 Dec 2022 Feng Shu, Jing Liu, Yeqing Lin, Yang Liu, Zhilin Chen, Xuehui Wang, Rongen Dong, Jiangzhou Wang

To fully exploit the amplifying gain achieved by active IRS, two high-rate methods, maximum ratio reflecting (MRR) and selective ratio reflecting (SRR) are presented, which are motivated by maximum ratio combining and selective ratio combining.

Vocal Bursts Intensity Prediction

Enhanced Secure Wireless Transmission Using IRS-aided Directional Modulation

no code implementations29 Sep 2022 Yeqing Lin, Rongen Dong, Peng Zhang, Feng Shu, Jiangzhou Wang

To reduce the computational complexity, a new method of maximizing receive power with zero-forcing constraint (Max-RP-ZFC) of only reflecting CM and no AN is proposed.

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