From the 3 of 24 linked papers with an AI index.
24 papers
Electromagnetic Twin: Completing the Wireless World from Sparse Channel Evidence
Tuo Wu, Jie Tang, Kangda Zhi +5
Acquiring dense channel information over many locations and beams incurs considerable pilot and processing overhead. Radio maps and channel knowledge maps (CKMs) reduce this overhe…
Toward Intelligent Skies: Signal Processing and AI Foundations of Low-Altitude Wireless Networks
Weijie Yuan, Geng Sun, Jiacheng Wang +7
The rapid growth of low-altitude aerial services and applications, driven by uncrewed aerial vehicles (UAVs), calls for a new class of digital infrastructure beyond conventional te…
Breaking Network Densification Limits with Distributed Cooperative Massive Access (DCMA)
Christoforos I. Dallas, Apostolos A. Tegos, Sotiris A. Tegos +3
In this work, we investigate the performance of the distributed cooperative massive access (DCMA) framework in large-scale network setups by incorporating stochastic geometry model…
Jacobi Elliptic Chirps for Sub-Nyquist Multi-Target Ranging
Dimitrios Bozanis, Thrassos K. Oikonomou, Sotiris A. Tegos +2
The paper introduces a sine‑over‑cosine Jacobi elliptic chirp (SC‑EFM) for sub‑Nyquist pulse‑compression radar, showing it can suppress ghost‑target artifacts while preserving targ…
Elliptic Range-Doppler Mapping for OFDM-ISAC under IQ Imbalance
Thrassos K. Oikonomou, Dimitrios Bozanis, Sotiris A. Tegos +2
The paper proposes a new detection algorithm that directly exploits the structure of IQ‑imbalance‑distorted OFDM signals for integrated sensing and communication, using an elliptic…
Fronthaul-Efficient Distributed Cooperative 3D Positioning with Quantized Latent CSI Embeddings
Tong An, Jiwei Zhao, Jiayang Shi +5
The paper proposes a learning‑based edge‑cloud framework that compresses channel state information (CSI) at distributed base stations into quantized latent embeddings for fronthaul…