All Outputs (4)

Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming (2024)
Journal Article
Xiao, Y., Wang, E., Chen, Y., Chen, L., Ikhlef, A., & Sun, H. (online). Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming. IEEE Wireless Communications Letters, https://doi.org/10.1109/lwc.2024.3521186

Integrated sensing and communications (ISAC) is an important enabling technology for the next-generation wireless systems. Owing to the use of large-scale antenna arrays and/or high carrier frequencies, the communications user and the target may foll... Read More about Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming.

Communication-Centric Integrated Sensing and Communications With Mixed Fields (2024)
Journal Article
Xiao, Y., Wang, E., Chen, Y., Sun, H., & Ikhlef, A. (2024). Communication-Centric Integrated Sensing and Communications With Mixed Fields. SCIENCE CHINA Information Sciences, 67(12), Article 219301. https://doi.org/10.1007/s11432-024-4152-9

Dear editor, Integrated sensing and communications (ISAC) is expected to play a vital role in the sixth-generation (6G) wireless networks [1]. By utilizing high frequencies, extremely large-scale antenna arrays, and new antenna designs, the 6G-empowe... Read More about Communication-Centric Integrated Sensing and Communications With Mixed Fields.

Dual‐user joint sensing and communications with time‐divisioned bi‐static radar (2024)
Journal Article
Wang, E., Chen, Y., Ikhlef, A., & Sun, H. (2024). Dual‐user joint sensing and communications with time‐divisioned bi‐static radar. IET Communications, 18(17), 1126-1139. https://doi.org/10.1049/cmu2.12820

Joint sensing and communications systems have gained significant research interest by merging sensing capabilities with communication functionalities. However, few works have examined the case of multiple users. This work investigates a dual‐user joi... Read More about Dual‐user joint sensing and communications with time‐divisioned bi‐static radar.

Deep Learning for Detection and Identification of Asynchronous Pilot Spoofing Attacks in Massive MIMO Networks (2024)
Journal Article
Choudhury, F., Ikhlef, A., Saad, W., & Debbah, M. (2024). Deep Learning for Detection and Identification of Asynchronous Pilot Spoofing Attacks in Massive MIMO Networks. IEEE Transactions on Wireless Communications, 23(11), 17103-17114. https://doi.org/10.1109/TWC.2024.3450834

Massive multiple-input multiple-output (MIMO) networks are highly vulnerable to an active eavesdropping attack called pilot spoofing attack. The pilot spoofing attack causes information leakage to the active eavesdropper (ED) and also weakens the str... Read More about Deep Learning for Detection and Identification of Asynchronous Pilot Spoofing Attacks in Massive MIMO Networks.