TY - JOUR
T1 - Signal-Level Models of Pointwise Electromagnetic Exposure for Millimeter Wave Communication
AU - Castellanos, Miguel R.
AU - Liu, Yanan
AU - Love, David J.
AU - Peleato, Borja
AU - Jin, Jian Ming
AU - Hochwald, Bertrand M.
N1 - Manuscript received October 8, 2018; revised April 21, 2019; accepted June 24, 2019. Date of publication October 16, 2019; date of current version May 5, 2020. This work was supported in part by the National Science Foundation under Grant CCF-1403458 and Grant CNS-1642982. This article was presented in Proc. IEEE Asilomar Conf. Signals, Systems, and Computers, Pacific Grove, CA, USA, in 2016. (Corresponding author: Miguel R. Castellanos.) M. R. Castellanos, D. J. Love, and B. Peleato are with the School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907 USA (e-mail: [email protected]; [email protected]; [email protected]).
PY - 2020/5
Y1 - 2020/5
N2 - Electromagnetic exposure from wireless devices is strictly regulated around the world to ensure the safety of consumers. Recent studies have demonstrated that multi-antenna systems can leverage signal-level exposure models to jointly mitigate user radiation absorption and achieve high data rates. This is especially important for millimeter wave technologies, which are susceptible to power back-off techniques due to high propagation and blockage losses. However, prior models require significant overhead in the form of exposure measurements to compute model parameters and cannot be easily modified to predict electromagnetic absorption in different testing configurations. This article proposes methods to approximate the characteristic matrix of a quadratic model for two exposure measures in the millimeter wave band: incident power density and surface specific absorption rate (SAR). The presented models can be calculated with a small number of parameters and can be altered to account for mutual coupling, near-field effects, and changes in the exposure scenario. Spatial sampling schemes based on these models are derived to determine how many testing points are necessary to estimate exposure in a region within a specified margin of error. Software simulation results with half-wave dipoles validate the accuracy of the proposed models in a millimeter wave scenario.
AB - Electromagnetic exposure from wireless devices is strictly regulated around the world to ensure the safety of consumers. Recent studies have demonstrated that multi-antenna systems can leverage signal-level exposure models to jointly mitigate user radiation absorption and achieve high data rates. This is especially important for millimeter wave technologies, which are susceptible to power back-off techniques due to high propagation and blockage losses. However, prior models require significant overhead in the form of exposure measurements to compute model parameters and cannot be easily modified to predict electromagnetic absorption in different testing configurations. This article proposes methods to approximate the characteristic matrix of a quadratic model for two exposure measures in the millimeter wave band: incident power density and surface specific absorption rate (SAR). The presented models can be calculated with a small number of parameters and can be altered to account for mutual coupling, near-field effects, and changes in the exposure scenario. Spatial sampling schemes based on these models are derived to determine how many testing points are necessary to estimate exposure in a region within a specified margin of error. Software simulation results with half-wave dipoles validate the accuracy of the proposed models in a millimeter wave scenario.
KW - 5G Communication
KW - electromagnetic absorption
KW - millimeter wave communication
KW - power density (PD)
KW - spatial sampling
KW - specific absorption rate (SAR)
UR - https://www.scopus.com/pages/publications/85084788605
UR - https://www.scopus.com/pages/publications/85084788605#tab=citedBy
U2 - 10.1109/TAP.2019.2946742
DO - 10.1109/TAP.2019.2946742
M3 - Article
AN - SCOPUS:85084788605
SN - 0018-926X
VL - 68
SP - 3963
EP - 3977
JO - IEEE Transactions on Antennas and Propagation
JF - IEEE Transactions on Antennas and Propagation
IS - 5
M1 - 8871335
ER -