Research Article | Open Access
Salah I. Al-Mously, Marai M. Abousetta, "Anticipated Impact of Hand-Hold Position on the Electromagnetic Interaction of Different Antenna Types/Positions and a Human in Cellular Communications", International Journal of Antennas and Propagation, vol. 2008, Article ID 102759, 22 pages, 2008. https://doi.org/10.1155/2008/102759
Anticipated Impact of Hand-Hold Position on the Electromagnetic Interaction of Different Antenna Types/Positions and a Human in Cellular Communications
This paper is intended to investigate intensely the impact of multipossible hand-hold positions on the electromagnetic (EM) interaction of handset antennas and a human by using a finite-difference time-domain (FDTD) method. Candy-bar handsets with different external and internal antenna positions operating in the GSM900, GSM1800/DCS, and UMTS/IMT-2000 bands are hereby simulated with configuration of the most parts in order to achieve the commercially available handset model design. Homogeneous and heterogeneous phantoms both are used to simulate the human head, whereas, a semirealistic model with three different tissues is designed to simulate a human hand holding a set. Both of the antenna performance including the total isotropic sensitivity (TIS) and the specific absorption rate (SAR) in tissues are examined for the different suggested applicable cases, where various positions of antenna, handset and hand are considered in simulations. This simulation study determines that both of the antenna performance and the SAR in tissues significantly alter owing to the positioning of the handset against user's head at different hand levels; where a maximum alteration is observed due to the exposure of handset with internal antenna, as compared with the handset having external antenna.
The possible health hazard of cellular communication handsets due to their electromagnetic (EM) interaction with human and the means of reducing the impact of this interaction have appeared as a public concern. It is noticeable that while using cellular handset in close proximity to head, many factors may affect on the EM interaction, among them is the hand-hold position.
Measuring the specific absorption rate (SAR) in human head exposed to the handset antenna radiation, most standards (IEEE-1528, EN 50360/1, IEC 62209, ARIB STD-T56, FCC, ACA) [1–7] ignore considering the use of hand model due to the various possible hand-hold positions and the worst-case SAR value is obtained without the use of a hand model. However, the hand-hold has a considerable impact on the handset antenna performance which can be altered according to the antenna type/position and hand-hold position. Hence, it is highly significant to anticipate the EM interaction of handset antennas and a human head taking into account the different possible hand-hold positions.
Although over the last fifteen years many authors have investigated the interaction between the EM field radiated by the cellular hand-held and human head [8–23], nothing has been published yet about the hand effect on the EM interaction after examining both antenna performance and the SAR in tissues, by taking into consideration the effects of different operating frequencies, different antenna types, and different positions of the hand, antenna, and handset against head.
In [8–12], user’s hand was simulated by a simple block model, where in , the model consists of one tissue (muscle), whereas in [9–12], the models consisted of two tissues (bone and muscle). In [13, 14], a hand with typical handset holding model was simulated with one tissue approximating the average hand tissues relative permittivity. In , user’s hand was simulated by a 3D anatomical model with eleven tissues, based on its real geometry acquired by an MR scan. A homogeneous 3D model was used in  to simulate the user’s hand, whereas a realistic model with two tissues (bone and muscle) was used in . A simplified model of a hand grasping a cellular phone was presented in , where the hand model can be digitally moved while grasping the handset with external antenna. A thin rubber glove filled with a muscle simulating liquid was used in [14, 15] to conduct the experimental measurement of the hand impact beside the simulation, whereas in , PVC tubes filled with a lossy liquid at the cheek left position was used to conduct the measurement at both 900 and 1800 MHz. In [20–22], a semirealistic model with three tissues (bone, muscle, and skin) was designed and used to simulate the user’s hand, whereas in , a realistic model of three tissues was generated and used.
(1) In , two different block models of the hand holding the handset at 900 and 1800 MHz were examined. A simple model of shorted-patch antenna in different orientations over a metal plate (chassis) with 3.6 mm thickness all were used to simulate the handset. The EM interaction between MRI-based head model with six tissues and the handset were investigated for different chassis lengths. Both the antenna specifications and SAR in tissues were computed due to sliding the hand on the handset at different positions. A single handset position with respect to head was considered. Only the patch antenna was examined, where the different possible antenna positions were ignored.
(2) In , both homogeneous and heterogeneous (seven tissues) head models are involved in computing the maximum local SAR in tissues at 900 and 1500 MHz. A typical hand model with one tissue sliding on a handset was used, where the handset was modeled by a simple metal box with a monopole and dipole antenna. The maximum local SAR in head was calculated due to different hand-hold positions and different distances between handset and head. The internal antenna was not examined and the different possible antenna positions on the handset were not considered. The antenna performance due to the hand-hold alteration was not presented.
(3) In , two different right-hand-hold positions were considered with two different handset models (one with a right-side monopole and the other with a rectangular patch antenna) against head at cheek position and operating at 1747 MHz. Only the antenna performance was evaluated for different antenna orientations, where both experimental and numerical techniques have been conducted. A fiberglass torso phantom of brain/muscle simulating liquid and a thin rubber glove filled with the same liquid were used in measurements, whereas a homogeneous torso plus hand phantom was used in simulations. The different possible antenna positions were not examined in that study.
(4) In , three different right-hand-hold positions were considered using a clam-shell phone with a left-side external antenna. Based on the phone type, a cheek position was considered. The simulation was conducted at 1880 MHz, where only the antenna performance of the handset against specific anthropomorphic mannequin (SAM) was examined.
(5) In , eight right-hand-hold positions sliding on the handset with internal antenna were considered. Only the antenna performance was evaluated at 925 and 1795 MHz with no human-head involvement in computation.
(6) In , two applicable extremes of hand holding for a candy-bar handset with external antenna close to head at cheek and tilt positions and operating at 900 MHz were considered. That work did not take into consideration the EM interaction of, firstly, the internal-type antenna, secondly, the possible antenna positions, thirdly, the possible different operating frequencies, and fourthly, the effect of tissues inhomogeneity using an MRI-based head model.
(7) In , the performance of a realistic commercial quad-band clamshell-type handset with different external antennas was predicted under various usage patterns. The EM interaction of handset and SAM phantom was computed and measured at 1880 MHz, where three different hand-hold positions were examined. The values of SAR in tissues due to the considered different usage patterns were not presented and the effects of head-tissues inhomogeneity as well as the different possible antenna types/positions were ignored.
In this research, a semirealistic right-hand model with three tissues [20–22] is designed to determine the impact of the hand-hold position on the EM interaction between handset antennas and human. Heterogeneous anatomically correct model of twenty five different tissues as well as homogeneous SAM phantom are used to simulate the user’s head.
In view of the fact that the external antenna position on a handset has a considerable impact on the EM interaction , twelve single-band handset models having different antenna types/positions are designed and simulated to find out the available commercial models design. The earlier six models are with external antennas positioned on the left and right side and operating at 900, 1800, and 2025 MHz, whereas the later six models are with internal antennas positioned at top and bottom of the handset and operating at 900, 1800, and 2025 MHz.
The prediction of the EM interaction is based on evaluating the handset antenna performance including the total isotropic sensitivity (TIS) as well as the SAR and power absorbed in tissues. Both cheek and tilt positions of the handset against head are examined in compliance with the IEEE-standard 1528 .
All simulations are achieved at 900, 1800, and 2025 MHz, which represent the GSM-family standards including E-GSM900 (880–960 MHz), GSM1800/DCS (1710–1880 MHz), and UMTS/IMT-2000 (1885–2200 MHz), respectively. For the later, the frequency of 2025 MHz represents the upper edge of the transmitting band of the IMT-2000 (1885–2025 MHz) also within the range of UMTS band.
2. Fdtd Modeling
The finite-difference time-domain (FDTD) method proposed by Yee in 1966  is a direct solution of Maxwell’s curl equations in the time domain: where and are the electric and magnetic properties of the material, respectively; and are the electric and magnetic conductivity, respectively; and the electric (E) and magnetic (H) field components are positioned as  Maxwell’s curl equations are discretized using a 2nd-order finite-difference approximation in both space and time in an equidistantly spaced mesh, where E and H are calculated at alternating discrete points in time using a leap-frog algorithm [24, 25]. Although FDTD technique has some limitations , its robustness, its suitability for handling complex problems composed of any number of subvolumes and its general independence of material compositions make it more popular than other techniques and the most applied in EM solver platforms. SEMCAD X (ver. 12.4 JUNGFAU) simulation platform  is selected for simulating these work cases due to its handling, functionality, and features for highly detailed CAD models as well as efficient FDTD solver for simulating advanced applications. SEMCAD X is a 3D full wave simulation environment based on the FDTD method.
2.1. Handset Model with External Antenna
For the handset with external antenna, a candy-bar handset operating at 900 MHz  is adopted and redesigned to produce six different models with left- and right-side external-antenna operating at 900, 1800, and 2025 MHz. The handset with the left-side antenna will be referred later as model-A1, whereas the handset with the right-side antenna will be referred as model-A2. The maximum dimensions of the handset with external antenna (excluding the antenna height) are 104 mm × 43 mm × 16.5 mm (length × width × thickness), whereas the multilayer PCB dimensions are 97 mm × 37 mm × 1 mm.
The considered electromechanical parts of the proposed handset models with external and internal antennas are antenna, external antenna cover, PCB, shields, LCD and its holder, housing parts, keypad and buttons, battery and battery contacts, and connectors. Table 1 shows the dielectric material parameters used for simulations [22, 23, 26].
A short-whip antenna top-loaded with a small cylinder [21, 22, 28] is suggested. A matching of 15.25 nH lumped element is needed at 900 MHz , whereas at 1800 and 2025 MHz, the antenna is well tuned and no matching is considered. The antenna has been tilted back by to reduce the EM interaction with head. Figure 1 shows the SEMCAD X representation of model-A1 with the antenna configuration and its dimensions at the adopted frequencies, that is, 900, 1800, and 2025 MHz.
2.2. Handset Model with Internal Antenna
Many techniques were suggested to make the microstrip patch antenna (MPA) suitable in size for the mobile communication terminals. One of the effective ways to reduce the patch size of the microstrip antenna is to introduce a shorting pin at the edge of the patch . An overview and a survey on the compact patch antenna including the antennas with shorting pin are detailed in . The performance of the probe-fed single and stacked shorted-patch antennas due to the EM interaction with the human were investigated in [11, 12], where the possible different antenna positions were not examined.
In this work, a semirealistic handset model using a single-band probe-fed rectangular patch antenna with shorting plate at the edge is designed. Six different handset models are simulated with top and bottom-mounted patch antennas operating at different frequencies, that is, 900, 1800, and 2025 MHz.
The handset parts and components are not located identically in all models due to the different antenna position and size regarding each different operating frequency. Figure 2 demonstrates the SEMCAD X representation of handset model-B1, where different parts and components are shown in different views. Figure 3 shows the structure of the rectangular patch antenna with shorting plate. The plastic back-cover of the handset touches the patch antenna, where no air gap exists between them. The maximum physical dimensions of the handset with internal patch antenna are 110 mm × 44 mm × 13 mm, whereas; the multilayer PCB dimensions are 97 mm × 37 mm × 1 mm. The dimensions of the patch antenna at 900, 1800, and 1800 MHz are illustrated in Figure 3, where the width of the shorting plate is 3.5 mm.
2.3. Hand Model
A semirealistic hand model consisting of three tissues (skin, muscle, and bone) [20–22] is designed with two common different holding positions referred later as hand1 and hand2. Hand1 is grasping the lower part of the handset, whereas hand2 is grasping the upper part of the handset. These proposed hand-holds represent the two applicable extremes of hand holding. The electrical properties and densities of the hand tissues are given in Table 2.
2.4. Head Model
A heterogeneous high-resolution European female head (HR-EFH) model with pressed ears , available with Schmidt & Partner Engineering AG (SPEAG, Zurich, Switzerland) , is used. This MRI-based model consists of 121 different slices, with slice thicknesses of 1 mm (ear region) and 3 mm and a transverse spatial resolution of 0.2 mm. Twenty five different tissues are recognized and their electrical properties and densities are given in Table 2. Head and hand tissue properties are set according to material properties and densities database in  and to those given in , where both are based on .
For comparison, an SAM phantom developed by different standard committees [1, 3–6] is also used to simulate the human head. The electrical properties of the SAM materials are defined in [1, 34] and given in Table 2.
Figure 4 exhibits different holding positions of the handset models close to HR-EFH at cheek position indicating the coordinate system, where the acoustic output is set opposite to earpiece center in compliance with IEEE Std. 1528 . Due to different antenna types/positions considered in simulations, the distances between the antennas feed points and the nearest head-tissue voxel also differ. According to the acoustic output position at the origin point and with the different coordinate systems arrangement for each antenna type (Figure 4), the antenna feed position is at for model-A1; at for model-A2, whereas it is at for model-B1; and at for model-B2.
3. Fdtd-Grid Generation and Simulation Parameters
The simulation platform SEMCAD X incorporates automated heterogeneous grid generation, which automatically adapts the mesh to a specific setup. The most crucial parts with respect to grid resolution are the antenna, as well as the PCB with its thin PEC ground layers (110 thickness).
To align the simulated handset components to the FDTD grid accurately, a minimum spatial resolution of and a maximum spatial resolution of in the x, y, and z directions are chosen for simulating the handset in hand close to head. Depending on the case complexity, a refining factor of (5–20) with grading ratio of (1.2-1.3) is used for the solid regions during the simulations. The simulations assume a steady-state voltage at 900, 1800, and 2025 MHz, with a feed point of 50 Ohm voltage source of 0.5 mm physical gap. The absorbing boundary conditions (ABCs) are set as a uniaxial perfectly matched layer (UPML) mode with a very high strength thickness, where minimum level of absorption at the outer boundary is (99.9%) .
Table 3 lists the total number of FDTD-grid cells required to simulate the handset models in free space and in hand close to head at different positions operating at 900, 1800, and 2025 MHz.
4. Em Interaction between Handset and Human
The EM interaction between handset antenna and human is evaluated, firstly, by assessing the effect of human head and hand on the handset antenna performance through computing the antenna parameters including the input impedance , in dB, radiation efficiency , total efficiency , and the total isotropic sensitivity (TIS), secondly, by assessing the impact of antenna EM radiation on head and hand through computing the SAR and power absorption in tissues.
4.1. Antenna Performance
The results in Table 4 show the computed antenna parameters including , in dB, , and of the handset models at 900 MHz under different usage patterns in a presence of HR-EFH model, whereas the results in Tables 5 and 6 show the antenna parameters at 1800 and 2025 MHz, respectively. The is given by where represents the mismatch efficiency and equal to Figure 5 illustrates the 3D far-field radiation pattern of the handset model-A1 in free space as well as in hand1 close to head (SAM and HR-EFH) at cheek position and operating at 900, 1800, and 2025 MHz, whereas Figure 6 illustrates the 3D far-field radiation pattern of the handset model-B1 in the same conditions. In both Figures 5 and 6, the antenna feeding source position considered as the origin of the antenna pattern coordinate system, that is, .
(a) Model-A1 in free-space, 900 MHz
(b) Model-A1 in free-space, 1800 MHz
(c) Model-A1 in free-space, 2025 MHz
(d) Model-A1 in hand1 close to SAM, cheek-position, 900 MHz
(e) Model-A1 in hand1 close to SAM, cheek-position, 1800 MHz
(f) Model-A1 in hand1 close to SAM, cheek-position, 2025 MHz
(g) Model-A1 in hand1 close to HR-EFH, cheek-position, 900 MHz
(h) Model-A1 in hand1 close to HR-EFH, cheek-position, 1800 MHz
(i) Model-A1 in hand1 close to HR-EFH, cheek-position, 2025 MHz
(a) Model-B1 in free-space, 900 MHz
(b) Model-B1 in free-space, 1800 MHz
(c) Model-B1 in free-space, 2025 MHz
(d) Model-B1 in hand1 close to SAM, cheek-position, 900 MHz
(e) Model-B1 in hand1 close to SAM, cheek-position, 1800 MHz
(f) Model-B1 in hand1 close to SAM, cheek-position, 2025 MHz
(g) Model-B1 in hand1 close to HR-EFH, cheek-position, 900 MHz
(h) Model-B1 in hand1 close to HR-EFH, cheek-position, 1800 MHz
(i) Model-B1 in hand1 close to HR-EFH, cheek-position, 2025 MHz
4.2. Total Isotropic Sensitivity
The TIS is a measure of the handset receiving performance, where both TIS and total radiated power (TRP) together determine effectiveness of the handset as a piece of radio equipment, in particular, the maximum range at which the handset can operate from the base station with some given level of performance . As compared with the normal receiver sensitivity in GSM900, a typical specification for the TIS is around 10-dB higher in talk position . The TIS can be measured in reverberation chamber with a definition formula given in . In , the sensitivity of a commercially available GSM900 phone in receiving mode was measured in reverberation chamber for different handset setups, that is, in free space and against head phantom. Using SEMCAD X, the computed TIS values for the proposed handset models under different usage patterns are computed as listed in Table 7.
4.3. Sar and Power Absorption Computation in Tissue
The influence of the EM wave irradiation on the living body is measured by evaluating the SAR, where SAR is defined as the amount of EM energy absorption in the unit mass as follows : Here, (S/m) represents the electric conductivity, (V/m) the rms electric field strength, and (kg/) the mass density of the tissue. An algorithm based on SCC34/SC2/WG2 computational dosimetry (IEEE-1529 ), the spatial-peak can be computed over any required mass by using SEMCAD X platform.
The spatial-peak SAR should be evaluated in a cubical volume of the body tissues that is within 5% of the required mass . The averaged-peak SAR (spatial-peak SAR [IEEE-1529]) can be specified over a cube of 1 g and 10 g mass, and normalized to a certain source power. Referred to the IEEE standard C95.1b-2004  (for low-power devices, uncontrolled environment), the antenna input power is set as 0.6 W at 900 MHz and 0.125 W at both 1800 and 2025 MHz for all handset setups.
The computed values of the peak SAR (averaged over 1 g and 10 g) and power absorption in tissues owing to handsets exposure in different conditions at 900, 1800, and 2025 MHz are listed in Tables 8, 9, and 10, respectively.
Figures 7 and 8 indicate the sliced-distribution of the averaged-peak in the HR-EFH tissues exposed to EM radiation of handset models-A1 and A2 under different usage patterns at 900 and 1800 MHz, respectively, whereas, Figures 9 and 10 indicate the sliced-distribution of the averaged peak due to handset models-B1 and B2 exposure under the same usage patterns at 900 and 1800 MHz, respectively.
5. Power Budget Error
The power budget error is defined as where is the input power, the radiation power, the absorbed power in tissues, and the total power loss. includes the dielectric loss and the metallic ohmic-loss . Since all metal parts are considered as PEC in simulations, thus and . However, (6) was defined by [21, 22, 42] as the computation error. Even with (6) equals zero, numerical errors, and geometry errors could be still inherent to the numerical analysis. Tables 8–10 list the power budget error values for both handset types in different conditions and at different frequencies.
The hand impact on the EM interaction between handset antennas and human is investigated profoundly in this paper. Owing to hand-hold alteration under different usage patterns, handsets with external and internal antennas show a significant deviation in their performance as well as in their EM radiation impact on head. Although the user’s hand has a negative impact on the antenna performance of a handset in-use, changing its position may reduce the amount of the SAR and power absorption in head tissues.
6.1. Antenna Performance
The results listed in Tables 4–7 manifest that the hand-hold position has a considerable impact on the handset antenna matching, antenna radiation efficiency, and the TIS. The impact of hand at different positions on the antenna performance (excluding the TIS) was already presented by [12, 14, 16, 22, 23]. However, this impact may vary depending on many factors, that is, antenna type/position, handset position with respect to head, and the operating frequency, concluded as follows.
(1) The significant degradation in internal patch antenna performance due to the different hand positions, as compared with the external antenna, is because the patch antenna is sandwiched between hand and head tissues during the practical usage, where the hand tissues act as the antenna upper dielectric layers. This may shift the tuning frequency as well as decrease the radiation efficiency.
(2) Based on the relation between the absolute difference in antenna total efficiency due to hand-hold alteration (from hand1 to hand2) and the antenna/handset position, as shown in Figure 11, internal antenna exhibits more variation in total efficiency values than external antenna. The maximum absolute difference (25%) is recorded at 900 MHz for model-B2 against HR-EFH at tilt position. The direction of arrows shown in Figure 11 indicates whether the total efficiency increases or decreases while shifting the hand from hand1 to hand2. This arrow's indication is also applicable for the TIS and SAR in Figures 12 and 13, respectively.
(a) Models-A1 and A2 against HR-EFH
(b) Models-B1 and B2 against HR-EFH
(a) Models-A1 and A2 against HR-EFH
(b) Models-B1 and B2 against HR-EFH
(a) Models-A1 and A2 against HR-EFH
(b) Models-B1 and B2 against HR-EFH
(3) Although the interference of the external noisy components (i.e., display and camera, as well as their associated feed circuits) is not considered in simulation, the drop in TIS specification of handsets while in-use, as shown in Table 7, is caused by antenna total efficiency decrease due to hand impact. Simulating the handsets having external antennas, the maximum TIS level of −94.9 dBm is obtained for model-A1 in hand2 against HR-EFH at cheek position operating at 1800 MHZ, where a minimum total efficiency of 7.6% is recorded, whereas simulating the handsets having internal antennas, the maximum TIS level of −95.2 dBm is obtained for model-B1 in hand2 against HR-EFH at cheek position operating at 2025 MHZ, where a minimum total efficiency of 8.5% is recorded. It is obvious that the maximum TIS level is around 10 dB higher for the above-mentioned handsets while in-use, as compared with them in free space.
(4) Figure 12 illustrates the absolute difference in TIS levels due to hand-hold alteration at different antenna/handset positions against the HR-EFH as depicted in Table 7. It is vivid that handsets with internal antennas exhibit more variation in their TIS levels than handsets with external antennas, where a maximum difference (5.1 dBm) is recorded at 2025 MHz for model-B1 at cheek position. A maximum difference (5.1 dBm) is also recorded due to the hand-hold alteration at 900 MHz for model-B1 just in hand.
(5) Figures 11 and 12 demonstrate that hand2 always has more impact on antenna performance including the TIS than hand1, except for model-B2 against HR-EFH at cheek and tilt positions, while operating at 2025 MHz.
6.2. Sar and Power Loss in Tissues
Tables 8–10 reveal that due to the exposure of the handset in hand close to HR-EFH at different positions and operating frequencies, both the averaged-peak and power absorption in tissues may vary considerably according to hand-hold position, observed as follows.
(1) More SAR variation in HR-EFH tissues is perceived owing to the internal antenna exposure, as compared with the external antenna exposure. Figure 13 shows the relation of the percentage of spatial-peak difference values in HR-EFH tissues due to hand-hold alteration versus antenna/handset position at 900, 1800, and 2025 MHz. The percentage difference of SAR in HR-EFH tissues while shifting the hand from hand1 to hand2 is defined as A maximum percentage difference in SAR (86.8%) is recorded for model-B2 at cheek position and operating at 2025 MHz (Figure 13(b)) which represents twice the maximum value of that recorded in cases of handsets having external antenna (Figure 13(a)).
(2) The direction of arrows shown in Figure 13(b) indicates that shifting of the hand-hold from hand1 to hand2 may result in the decrease of spatial-peak in HR-EFH tissues if exposed to model-B1 EM radiation at different positions and frequencies, whereas the same shift may increase the spatial-peak when exposed to model-B2. This SAR behavior due to the hand-hold shifting is also applicable when the head exposes to the EM radiation of handset models-A1 and A2, respectively, (Figure 13(a)) but with minor difference in some exceptional cases with model-A2. It is because of the antenna is located on top of the handset and the distance between its feeding position and the nearest head tissue being almost the same while using both model-A1 and model-A2.
(3) In , shifting the hand-hold from the lower part of the chassis (hand position = 60 mm) to the upper part (hand position = 0 mm), which is to some extent the same hand-hold alteration proposed in this study, the spatial-peak in head got decreased from 6 W/kg to 4 W/kg at 900 MHz, and from 5.5 W/kg to 3.5 W/kg at 1800 MHz. The corresponding percentage differences in SAR (8) are and , respectively. Although different hand/handset models used in this study, as compared with those in , the above percentage differences in SAR values nearly coincide with the results drawn in Figure 13(b) for model-B1 at cheek and tilt positions operating at 900 and 1800 MHz. Relative to the head, the chase in  was tilted from the vertical and from the ear toward the cheek.
(4) It is clear from Figure 13 that the operating frequency has a considerable effect on the SAR values in head tissues while shifting the hand-hold with different handset position and different antenna types/positions. Moreover, the considerable effect of the frequency change is also noticed in both antenna total efficiency and TIS shown in Figures 11 and 12, respectively, where this effect appears stronger in cases of internal antennas than cases of external antennas.
(5) The percentage values of power absorption in head (SAM and HR-EFH) at different antenna/handset positions in GSM900, GSM1800, and UMTS/IMT-2000 bands are narrated and illustrated in Figure 14. The percentage power absorption is given by Both SAM and HR-EFH absorb more power with hand1 than with hand2, when exposed to the EM radiation of handset with external antenna in different conditions. This is also true when the head was exposed to the EM radiation of the handset with internal antenna model-B1, whereas with model-B2, head-tissues absorb less power with hand1 than with hand2. It is because both antenna and its feeding positions are at the upper part of the models-A1, A2, and B1, and shifting the hand from hand1 to hand2 will cover the antenna, whereas both antenna and its feeding positions are at the lower part of model-B2 and shifting the hand from hand1 to hand2 will uncover the patch antenna. Covering the antenna by user’s hand may increase the power absorption in hand tissues and decrease it in head tissues.
(a) Models-A1 and A2 at 900 MHz
(b) Models-B1 and B2 at 900 MHz
(c) Models-A1 and A2 at 1800 MHz
(d) Models-B1 and B2 at 1800 MHz
(e) Models-A1 and A2 at 2025 MHz
(f) Models-B1 and B2 at 2025 MHz
(6) To some context, the power absorption in hand tissues behaves inversely to that in head.
6.3. Power Loss in Handset Materials
The power loss in handset materials is corresponded to the dielectric loss (since all the metal parts are considered as PEC in simulations and consequently the metallic ohmic-loss equal to zero). Tables 8–10 give the dielectric loss values for the twelve handset models in different usage patterns. Although both handset models with internal and external antennas use the same material properties for their components and parts, they have different volumes of dielectric materials and consequently different amounts of dielectric loss. However, it is obvious that the hand-hold alteration has a significant effect on the dielectric loss amount of the handsets having internal antennas, as compared with the handsets having external antennas; it is because of their different antenna types and positions. The percentage difference in the dielectric loss values owing to hand-hold alteration can be defined as
The dielectric loss of the handset with internal antenna gets decreased while shifting the hand from hand1 to hand2, where a maximum percentage difference of −68.8% is recorded at 900 MHz for model-B1 at cheek position, whereas no more than is recorded for model-A1 at the same frequency and position. The negative sign of the percentage values indicates that hand2 has more impact than hand1.
6.4. Comparison between Sam and He-Efh Simulation Effects
Many researchers have investigated the SAR in both SAM- and MRI-based human head due to the handset antennas exposure. Study by some researchers concluded that SAM underestimates SAR in adult MRI-based head, whereas, some other researchers concluded that SAM overestimates SAR in MRI-based adult head. Simultaneously, some researchers have presented mixed results. Light has been shed in detail on all these three states in  indicating the potential causes of discrepancies.
The simulations carried out in this work bring to light SAR difference in SAM and HR-EFH as explained here. According to the adopted handset positions with respect to head, inclusion of the pinna in the 1 and 10 g SAR averaging volumes for the HR-EFH and the database used to define the tissues parameters, the SAM has always been found underestimating SAR in HR-EFH by a factor ranging from 1.0 to 2.0, with the exception of the handset models being at cheek positions and operating at 900 MHz, where SAM overestimates SAR in HR-EFH by a factor ranging from 1.0 to 1.4. The SAR results and its behavior in both SAM and HR-EFH owing to handsets exposure at different setups coincide with those presented by the (IEEE SCC-34/SC-2/WG-2)  while considering all tissue including the pinna for the MRI-based adult head.
SAM and HR-EFH get different SAR values and absorb different amount of powers because of the differences between their volumes, masses, and homogeneities. The volume and mass of the SAM phantom are approximately 5825 and 6.018 kg (considering a homogeneous density of 1030 kg/), respectively, whereas, volume and mass of the HR-EFH model are approximately 4063 and 4.7158 kg, respectively. The accuracy of volume and mass calculation depends on the FDTD-grid spatial resolution and number of cells.
Figures 5 and 6 expose an inconsiderable difference in the antenna far-field radiation pattern because of the presence of heterogeneous head tissues (HR-EFH), as compared to the homogeneous tissues (SAM).
6.5. Power Budget Error
For the same FDTD-grid setting, handset in hand close to HR-EFH needs more number of grid cells to be simulated, as compared with handset close to SAM. It is true even with duplicating the refining factor of SAM solid regions (shell and liquid). It is because of homogeneous property of the SAM phantom in which the spatial resolution along the head tissue gradually increases from the minimum to maximum in short distance at each axis. As concerning the heterogeneous HR-EFH model, the minimum spatial resolution has no big chances to reach the maximum value at each axis owing to the existence of the twenty five different tissues. Consequently, for the same FDTD-grid setting, the power budget error in cases with the HR-EFH is less than in cases with the SAM. As revealed in Tables 8–10, the power budget errors in simulations are around 2%.
6.6. Computational Requirements
All computations were performed on a 2 GHz Intel centrino Laptop machine (Dell, inspiron-630 m) with 2 GB memory and a 1.6 GHz dual core Intel Pentium machine (Acer, Aspire M1600) with 4 GB memory.
The runtime and memory requirements depend on the simulation space as well as the refinement factor for each solid region. Less memory and runtime were required for the handset simulation in free space, whereas more memory and runtime were required for the handset in hand close to head. The maximum number of FDTD-grid cells that can be achieved with the adopted simulating machines is about 24 Mcells, where a hardware accelerator aXware  is not used. The machine memories were enough to achieve all simulations where the runtimes were about 1–10 hours depending on the total number of grid cells.
On the bases of the handset, hand, and head models used in this research, it has been significantly elaborated that the hand-hold position has a considerable impact on the EM interaction between cellular handset and human. Other related factors such as the operating frequency, antenna type/position, and the handset position against head were assessed while anticipating the hand impact. To achieve realistic in-use conditions, different candy-bar handset models having external and internal antennas operating in GSM900, GSM1800, and UMTS/IMT-2000 bands were simulated, whereas semirealistic hand model of three tissues, MRI-based adult female head model of twenty five tissues, and SAM phantom were selected for evaluating the EM interaction. Owing to the hand-hold alteration, more differences in values of the antenna total efficiency, total isotropic sensitivity, and both SAR and power absorption in tissues were recorded with the handset models having internal patch antenna, as compared with the handset models having external loaded short-whip antenna. This paper showed interesting results; in a certain usage pattern of a handset having left-side external antenna, the maximum percentage difference of spatial-peak values in head due to the right hand-hold alteration may reach over 42%, whereas it may reach over 86% with the handset having bottom-mounted internal patch antenna. The power budget errors in the proposed simulations were around 2%.
The authors would like to thank reverent Wayne Jennings, Application Engineer, SPEAG Schmid & Partner Engineering AG for the kind assistance in providing the numerical corrected model of a human head (HR-EFH). They would like to express their gratitude to Professor M. L. Chaudhary, the Higher Institute of Electronics for his kind assistance in removing the linguistic errors in this article.
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Copyright © 2008 Salah I. Al-Mously and Marai M. Abousetta. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.