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From the 1 of 18 linked papers with an AI index.

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18 papers

eess.SP2026

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

Ruiyuan Mao, Qu Luo, Jianguo Li +5

Affine frequency division multiplexing (AFDM) has emerged as a promising waveform against doubly selective channels under high-mobility communication scenarios. Optimal chirp param…

eess.SP2026

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

Xianle Dai, Qu Luo, Jianguo Li +4

The paper introduces AFDM-FTN, a waveform that combines affine frequency division multiplexing with faster‑than‑Nyquist signaling to boost spectral efficiency in high‑mobility wire…

eess.SP2026

Multi-Functional Chirp Signalling for Next-Generation Multi-Carrier Wireless Networks: Communications, Sensing and ISAC Perspectives

Zeping Sui, Qu Luo, Zilong Liu +6

To meet the increasingly demanding quality-of-service requirements of the next-generation multi-carrier mobile networks, it is essential to design multi-functional signalling schem…

eess.SP2026

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

Qu Luo, Zilong Liu, Musavian Leila +3

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 nove…

eess.SP2026

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

Yiming Gui, Zilong Liu, Qu Luo +1

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 ana…

eess.SP2026

Beyond the RF Paradigm: Rydberg Atomic Receivers for Next-Generation IoT

Qihao Peng, Qu Luo, Dongnan Xia +11

Next-generation Internet-of-Things (IoT) is evolving toward a ubiquitous, ultra-low-power, and multi-band heterogeneous networking paradigm that seamlessly integrates terrestrial,…