TY - GEN
T1 - Blockage-Aware MmWave OFDM Waveform Design for Integrated Sensing and Communication
AU - Cui, Yue
AU - Ding, Haichuan
AU - Ma, Ying
AU - Li, Xuanheng
AU - An, Jianping
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Millimeter wave (mmWave) based integrated sensing and communication (ISAC) enables high-speed communication and accurate sensing, yet it is highly susceptible to blockages that could lead to interrupted communication and sensing services. In this paper, we investigate blockage-aware mmWave orthogonal frequency division multiplexing (OFDM) waveform design for ISAC, where we exploit multi-base station (BS) collaboration to enhance resilience for dynamic blockage, and leverage dual-functional radar-communication (DFRC) waveform to simultaneously perform data transmission and target localization. To account for the dynamic blockage, the communication and sensing performance is characterized in a probabilistic fashion. Then, we formulate a chance-constrained max-min optimization problem, which can be efficiently solved by the proposed stochastic successive convex approximation (SCA)-based blockage-aware beamforming (SSBAB) scheme. Simulation results verify the robustness of the SSBAB scheme in the presence of dynamic blockage.
AB - Millimeter wave (mmWave) based integrated sensing and communication (ISAC) enables high-speed communication and accurate sensing, yet it is highly susceptible to blockages that could lead to interrupted communication and sensing services. In this paper, we investigate blockage-aware mmWave orthogonal frequency division multiplexing (OFDM) waveform design for ISAC, where we exploit multi-base station (BS) collaboration to enhance resilience for dynamic blockage, and leverage dual-functional radar-communication (DFRC) waveform to simultaneously perform data transmission and target localization. To account for the dynamic blockage, the communication and sensing performance is characterized in a probabilistic fashion. Then, we formulate a chance-constrained max-min optimization problem, which can be efficiently solved by the proposed stochastic successive convex approximation (SCA)-based blockage-aware beamforming (SSBAB) scheme. Simulation results verify the robustness of the SSBAB scheme in the presence of dynamic blockage.
KW - blockage-aware beamforming
KW - Integrated sensing and communication
KW - multi-BS collaboration
UR - https://www.scopus.com/pages/publications/105045588527
U2 - 10.1109/ICCWorkshops63917.2026.11586546
DO - 10.1109/ICCWorkshops63917.2026.11586546
M3 - Conference contribution
AN - SCOPUS:105045588527
T3 - 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 - Proceedings
BT - 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026
Y2 - 24 May 2026 through 28 May 2026
ER -