Webinar: MIMO-OFDM ISAC: From Parameter Estimation to Waveform and Resource Allocation Design (video)
"MIMO-OFDM ISAC: From Parameter Estimation to Waveform and Resource Allocation Design" presented by Mr. Zichao Xiao and Dr. Rang Liu. Based on the IEEE Xplore® article “A Novel Joint Angle-Range-Velocity Estimation Method for MIMO-OFDM ISAC Systems” Published IEEE Transactions on Signal Processing, August 2024. Visit article article here.
Integrated sensing and communication (ISAC) is emerging as a key technology for 6G and future wireless networks, enabling communication systems to support high-throughput data transmission while simultaneously extracting sensing information from the surrounding environment. Among various candidate waveforms and architectures, multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) is particularly attractive because of its compatibility with modern cellular systems, flexible time-frequency structure, and potential to support high-resolution sensing using existing communication infrastructure.
This webinar will present recent advances in MIMO-OFDM ISAC, with a focus on four representative studies covering parameter estimation, beamforming, waveform design, and resource allocation. Starting from two major OFDM sensing approaches—reciprocal filtering and matched filtering—the talk will discuss joint angle-range-velocity estimation, compressive-sensing-aided efficient ISAC design, range-Doppler sidelobe suppression through symbol-level waveform design, and sensing-oriented adaptive time-frequency resource allocation. Together, these studies show how MIMO-OFDM ISAC can improve sensing accuracy, communication efficiency, sidelobe control, and resource utilization under practical system constraints.
