Dr. Christos Masouros, Dr. Fan Liu, Dr. J. Andrew Zhang
IEEE Members: $11.00
Non-members: $15.00Duration: 00:56:07
This webinar, part of the new IEEE JSTSP webinar series on recent special issues, will overview the Joint Communication and Radar Sensing for Emerging Applications. The webinar will start with a brief motivation of the area of JCR, followed by a summary of the technical papers that appear in the SI. The next part of the webinar will overview the wider state of the art in JCR based on the overview paper titled An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing. information (CSI) is challenging to obtain at the base station (BS) due to the lack of radio frequency (RF) chains at the IRS. Because most of the existing channel estimation methods were developed to acquire the cascaded BS-IRS-user channels, this talk is the first work to study the robust beamforming based on the imperfect cascaded BS-IRS-user channels at the transmitter (CBIUT). Specifically, the transmit power minimization problems are formulated subject to the worst-case rate constraints under the bounded CSI error model and the rate outage probability constraints under the statistical CSI error model, respectively. After approximating the worst-case rate constraints by using the S-procedure and the rate outage probability constraints by using the Bernstein-type inequality, the reformulated problems can be efficiently solved. Numerical results show that the negative impact of the CBIUT error on the system performance is greater than that of the direct CSI error.