TY - GEN
T1 - Interference Mitigation in Joint Communication and Sensing
T2 - 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025
AU - Hassan, Sumeyra
AU - Kazemipourleilabadi, Negin
AU - Kahraman, Ibrahim
AU - Sadi, Yalcin
AU - Koca, Mutlu
AU - Panayirci, Erdal
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper proposes a joint communication and sensing (JCS) system that integrates multiple-input multiple-output (MIMO) communication and radar functionalities within a shared spectrum. A novel precoder design incorporating Maximal Ratio Combining (MRC) is proposed to eliminate radar-induced and multi-user interference (MUI), ensuring robust communication while maintaining radar sensing accuracy. The communication subsystem leverages spatial shift keying (SSK) to enhance spectral efficiency, while the radar employs a co-located MIMO configuration for precise target detection. Simulation results show that the proposed system achieves a bit error rate (BER) below 10-2 at 20 dB signal-to-noise ratio (SNR) and a radar detection probability exceeding 90% at 5 dB SNR, validating its effectiveness in interference management. This approach enables seamless integration of communication and sensing, making it a promising solution for autonomous driving, smart cities, and next-generation wireless networks.
AB - This paper proposes a joint communication and sensing (JCS) system that integrates multiple-input multiple-output (MIMO) communication and radar functionalities within a shared spectrum. A novel precoder design incorporating Maximal Ratio Combining (MRC) is proposed to eliminate radar-induced and multi-user interference (MUI), ensuring robust communication while maintaining radar sensing accuracy. The communication subsystem leverages spatial shift keying (SSK) to enhance spectral efficiency, while the radar employs a co-located MIMO configuration for precise target detection. Simulation results show that the proposed system achieves a bit error rate (BER) below 10-2 at 20 dB signal-to-noise ratio (SNR) and a radar detection probability exceeding 90% at 5 dB SNR, validating its effectiveness in interference management. This approach enables seamless integration of communication and sensing, making it a promising solution for autonomous driving, smart cities, and next-generation wireless networks.
KW - interference mitigation
KW - Joint communication and sensing
KW - MIMO radar
KW - precoder
KW - spatial shift keying
UR - https://www.scopus.com/pages/publications/105015433780
UR - https://www.scopus.com/pages/publications/105015433780#tab=citedBy
U2 - 10.1109/SIU66497.2025.11112490
DO - 10.1109/SIU66497.2025.11112490
M3 - Conference contribution
AN - SCOPUS:105015433780
T3 - 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings
BT - 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 June 2025 through 28 June 2025
ER -