Millimeter-Wave Antenna Array Diagnosis with Partial Channel State Information

George Medina, Akashdeep Singh Jida, Sravan Pulipali, Rohith Talwar, Nancy Amala J, Tareq Y. Al-Naffouri, Arjuna Madanayake, Mohammed E. Eltayeb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Large antenna arrays enable directional precoding for Millimeter-Wave (mmWave) systems and provide sufficient link budget to combat the high path-loss at these frequencies. Due to atmospheric conditions and hardware malfunction, outdoor mmWave antenna arrays are prone to blockages or complete failures. This results in a modified array geometry, distorted far-field radiation pattern, and system performance degradation. Recent remote array diagnostic techniques have emerged as an effective way to detect defective antenna elements in large antenna arrays with few diagnostic measurements. These techniques, however, are dependent on full and perfect channel state information (CSI), which can be challenging to acquire in the presence of antenna faults. This paper proposes a new remote array diagnosis technique that relaxes the need for full CSI and only requires knowledge of the incident angles-of-arrival, i.e. partial channel knowledge. Numerical results demonstrate the effectiveness of the proposed technique and show that fault detection can be achieved with comparable number of diagnostic measurements required by diagnostic techniques based on full channel knowledge. In presence of channel estimation errors, the proposed technique is shown to out-perform recently proposed array diagnostic techniques.
Original languageEnglish (US)
Title of host publicationICC 2021 - IEEE International Conference on Communications
PublisherIEEE
ISBN (Print)9781728171227
DOIs
StatePublished - Jun 2021

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