On Fast Estimation of SAR for Metallic Rim-based MIMO Handsets

Jamshed, M. A. and Ur-Rehman, M. (2022) On Fast Estimation of SAR for Metallic Rim-based MIMO Handsets. In: 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC), Suzhou, China, 16-18 May 2022, pp. 46-47. ISBN 9781665423403 (doi: 10.1109/IMBioC52515.2022.9790111)

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Abstract

Use of multiple-input-multiple-output (MIMO) antennas in a mobile handset helps to achieve an increased capacity and enhanced spectrum efficiency. Although, specific absorption rate (SAR) is one of the most important and widely used metrics for the characterisation of suitability, safety and compliance of commercial mobile handsets, its estimation for MIMO-enabled handsets is a complex and time consuming process. For the MIMO configurations, the SAR is the vector sum of E fields of individual antenna elements. The phase and amplitude of these E fields are dependent on MIMO precoding. Hence, SAR estimation for MIMO configurations becomes a lengthy and tedious analysis that makes it complex and rather impractical in real measurement scenarios. In this paper, a 2×2 MIMO configuration of the metallic rim antenna is analyzed to study the dependency of phase offset on SAR. The antenna elements are placed on the shorter edge of the metallic rim, resonating at 2.1 GHz. It is estimated that the maximum value of SAR is maintained at 0°, while the handset is used in talking position. This knowledge of phase offset reliance on SAR can help in reducing the overall time for SAR estimation as SAR needs not to be calculated for other phase offsets.

Item Type:Conference Proceedings
Additional Information:This work was supported by Innovative and Collaborative Research Grant under Pakistan UK Education Gateway (ICRG-2020) Project No. 310366 - Deforestation in Pakistan: Combating through Wireless Sensor Networks (DePWiSeN)).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ur Rehman, Dr Masood and Jamshed, Dr Muhammad Ali
Authors: Jamshed, M. A., and Ur-Rehman, M.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
ISBN:9781665423403
Published Online:13 June 2022
Copyright Holders:Copyright © 2022 IEEE
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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