2020/11/02 by George Medina, Medina, George, Akashdeep Singh Jida +13
Engineering · #FOS: Electrical engineering #Microwave Engineering and Waveguides #Microwave and Dielectric Measurement Techniques #Millimeter-Wave Propagation and Modeling #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2011.00828
openalex publication_date 2020/11/02 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Large antenna arrays enable directional precoding for Millimeter-Wave\n(mmWave) systems and provide sufficient link budget to combat the high\npath-loss at these frequencies. Due to atmospheric conditions and hardware\nmalfunction, outdoor mmWave antenna arrays are prone to blockages or complete\nfailures. This results in a modified array geometry, distorted far-field\nradiation pattern, and system performance degradation. Recent remote array\ndiagnostic techniques have emerged as an effective way to detect defective\nantenna elements in an array with few diagnostic measurements. These\ntechniques, however, require full and perfect channel state information (CSI),\nwhich can be challenging to acquire in the presence of antenna faults. This\npaper proposes a new remote array diagnosis technique that relaxes the need for\nfull CSI and only requires knowledge of the incident angle-of-arrivals, i.e.\npartial channel knowledge. Numerical results demonstrate the effectiveness of\nthe proposed technique and show that fault detection can be obtained with\ncomparable number of diagnostic measurements required by diagnostic techniques\nbased on full channel knowledge. In presence of channel estimation errors, the\nproposed technique is shown to out-perform recently proposed array diagnostic\ntechniques.\n