15 citations · 39 across the 15 of their papers we have counts for
15 papers
Precoded faster-than-Nyquist signaling using optimal power allocation for OTFS
Zekun Hong, Shinya Sugiura, Chao Xu +1
A precoded orthogonal time frequency space (OTFS) modulation scheme relying on faster-than-Nyquist (FTN) transmission over doubly selective fading channels is {proposed}, which enh…
Optical RISs Improve the Secret Key Rate of Free-Space QKD in HAP-to-UAV Scenarios
Phuc V. Trinh, Shinya Sugiura, Chao Xu +1
Large optical reconfigurable intelligent surfaces (ORISs) are proposed for employment on building rooftops to facilitate free-space quantum key distribution (QKD) between highaltit…
Stacked Intelligent Metasurfaces for Holographic MIMO Aided Cell-Free Networks
Qingchao Li, Mohammed El-Hajjar, Chao Xu +3
Large-scale multiple-input and multiple-output (MIMO) systems are capable of achieving high date rate. However, given the high hardware cost and excessive power consumption of mass…
The Road to Near-Capacity CV-QKD Reconciliation: An FEC-Agnostic Design
Xin Liu, Chao Xu, Yasir Noori +2
New near-capacity continuous-variable quantum key distribution (CV-QKD) reconciliation schemes are proposed, where both the authenticated classical channel (ClC) and the quantum ch…
Stacked Intelligent Metasurface-Aided MIMO Transceiver Design
Jiancheng An, Chau Yuen, Chao Xu +5
Next-generation wireless networks are expected to utilize the limited radio frequency (RF) resources more efficiently with the aid of intelligent transceivers. To this end, we prop…
Stacked Intelligent Metasurfaces for Efficient Holographic MIMO Communications in 6G
Jiancheng An, Chao Xu, Derrick Wing Kwan Ng +4
The revolutionary technology of \emph{Stacked Intelligent Metasurfaces (SIM)} has been recently shown to be capable of carrying out advanced signal processing directly in the nativ…
Codebook-Based Solutions for Reconfigurable Intelligent Surfaces and Their Open Challenges
Jiancheng An, Chao Xu, Qingqing Wu +4
Reconfigurable intelligent surfaces (RIS) is a revolutionary technology to cost-effectively improve the performance of wireless networks. We first review the existing framework of…
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink
Thien Van Luong, Nir Shlezinger, Chao Xu +3
Non-orthogonal communications are expected to play a key role in future wireless systems. In downlink transmissions, the data symbols are broadcast from a base station to different…
Opportunistic Routing Aided Cooperative Communication Network with Energy-Harvesting
Wannian An, Chen Dong, Xiaodong Xu +3
In this paper, a cooperative communication network based on energy-harvesting (EH) decode-and-forward (DF) relays that harvest energy from the ambience using buffers with harvest-s…
The Optimal Pilot Power Allocation Strategy for Multi-IRS Assisted Communication Systems
Jiancheng An, Chao Xu, Lu Gan +2
Intelligent reflecting surface (IRS) is a promising technology that enables the precise control of the electromagnetic environment in future wireless communication networks. To lev…
Reconfigurable Intelligent Surface-Enhanced OFDM Communications via Delay Adjustable Metasurface
Jiancheng An, Chao Xu, Derrick Wing Kwan Ng +3
Reconfigurable intelligent surface (RIS) is a promising technology for establishing spectral- and energy-efficient wireless networks. In this paper, we study RIS-enhanced orthogona…
Low-Complexity Improved-Throughput Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis
Jiancheng An, Chao Xu, Yusha Liu +2
Low-complexity improved-throughput generalised spatial modulation (LCIT-GSM) is proposed. More explicitly, in GSM, extra information bits are conveyed implicitly by activating a fi…
Joint Training of the Superimposed Direct and Reflected Links in Reconfigurable Intelligent Surface Assisted Multiuser Communications
Jiancheng An, Chao Xu, Li Wang +3
In Reconfigurable intelligent surface (RIS)-assisted systems the acquisition of CSI and the optimization of the reflecting coefficients constitute a pair of salient design issues.…
Deep Learning Based Antenna Selection for Channel Extrapolation in FDD Massive MIMO
Yindi Yang, Shun Zhang, Feifei Gao +3
In massive multiple-input multiple-output (MIMO) systems, the large number of antennas would bring a great challenge for the acquisition of the accurate channel state information,…
Energy Efficient Transmission Based on Grouped Spatial Modulation for upstream DSL Systems
Jiankang Zhang, Chao Xu, Tong Bai +2
The digital Subscriber Line (DSL) remains an important component of heterogeneous networking, especially in historic city-centers, where using optical fibre is less realistic. Rece…