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Pei Xiao

9 papers indexed

arxiveess.SP2026-07-22

Joint Chirp Parameter Selection and Low-Complexity MMSE Receiver Design for AFDM Systems

Ruiyuan Mao, Qu Luo, Jianguo Li, Fabien Héliot, Tianqi Mao, Pei Xiao, et al.

Affine frequency division multiplexing (AFDM) has emerged as a promising waveform against doubly selective channels under high-mobility communication scenarios. Optimal chirp parameter selection and reduced-complexity receiver design in AFDM are essential for achieving satisfacto…

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arxiveess.SP2026-07-14

AFDM-FTN: A Spectrally Efficient Waveform for High-Mobility Communications

Xianle Dai, Qu Luo, Jianguo Li, Fabien Heliot, Shuangyang Li, Lixia Xiao, et al.

This paper proposes an affine frequency division multiplexing (AFDM)-aided faster-than-Nyquist (FTN) waveform, termed AFDM-FTN, to enhance spectral efficiency (SE) in high-mobility communication scenarios. We first derive the AFDM-FTN input-output relationship and analyze the FTN…

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arxiveess.SP2026-07-09

Unified Analytical Model for Atomic Receivers Under Typical Quantum Interference Paths

Yiyue Xiang, Neng Ye, Qihao Peng, Pei Xiao, Jianping An

Atomic receivers, which leverage the quantum interference termed electromagnetically induced transparency (EIT) for radio-frequency (RF) to optical signal transduction, offer a revolutionary paradigm for next-generation wireless communications. However, current information-theore…

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arxiveess.SP2026-07-07

Cell-Level Channel Shaping for Rydberg Atomic Quantum Receivers in Satellite Uplinks With Doppler-Enabled Superheterodyne Reception

Qihao Peng, Qu Luo, Kezhi Wang, Cunhua Pan, Pei Xiao, Trung Q. Duong, et al.

In this paper, we propose a self-superheterodyne Rydberg uniform array receiver for satellite uplink communications, in which the Doppler shift naturally induced by satellite motion is exploited to generate the intermediate-frequency signal. We first develop a near-field local os…

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arxiveess.SP2026-07-07

Rydberg Atomic Quantum Radio: A Comprehensive Survey From Wireless Communication Perspective

Yiyue Xiang, Neng Ye, Qihao Peng, Junrui Zhao, Qu Luo, Kai Yang, et al.

Next-generation space-air-ground-sea integrated networks (SAGSIN) impose unprecedented demands on advanced radio frequency (RF) receivers for full-spectrum agility, ultra-high sensitivity, and anti-jamming resilience, pushing conventional electronic receivers to their physical li…

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arxiveess.SY2026-07-01

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection

Bohan Li, Min Ye, Haochen Liu, Yongkang Gong, Ning Gao, Jie Nie, et al.

This paper studies high-altitude platform (HAP)-assisted sparse cooperative integrated sensing and communication (ISAC) for UAV-enabled ocean monitoring. A fleet of rotary-wing UAVs senses drifting buoys, collects their monitoring data, and reports local posterior estimates to a…

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arxiveess.SP2026-07-01

Frame-Based AFDM-ISAC Waveform Design With Chirp-Enabled Pulse Compression

Qu Luo, Zilong Liu, Musavian Leila, Thomos Nikolaos, Qihao Peng, Pei Xiao

This paper proposes an Affine frequency division multiplexing (AFDM)-empowered integrated sensing and communications (ISAC) design, referred to as AFDM-ISAC. We first design a novel AFDM-ISAC frame structure that consists of both ISAC and pure data symbols. Each ISAC symbol consi…

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arxiveess.SP2026-06-30

Spatially Coupled Sparse Code Multiple Access (SC-SCMA): A Spectral Graph Approach

Yiming Gui, Zilong Liu, Qu Luo, Pei Xiao

This paper presents a spatially coupled sparse code multiple access (SC-SCMA) framework to overcome the performance and scalability limitations of conventional SCMA systems. By analyzing the pairwise error probability associated to multi-user error patterns, we show that spatial…

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crossrefSensors2023-10-28Cited by 30

Recent Advances in Machine Learning for Network Automation in the O-RAN

Mutasem Q. Hamdan, Haeyoung Lee, Dionysia Triantafyllopoulou, Rúben Borralho, Abdulkadir Kose, Esmaeil Amiri, et al.

The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN introduces disaggregation and virtualization, enabling network operators to d…

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