Optimization of signal-to-noise ratio for wireless light-emitting diode communication in modern lighting layouts

Luqman A. Azizan; Mohammad  S. Ab-Rahman; Mazen R. Hassan; A. Ashrif  A. Bakar; Rosdiadee Nordin

doi:10.1117/1.OE.53.4.045103

9 April 2014 Optimization of signal-to-noise ratio for wireless light-emitting diode communication in modern lighting layouts

Luqman A. Azizan, Mohammad S. Ab-Rahman, Mazen R. Hassan, A. Ashrif A. Bakar, Rosdiadee Nordin

Author Affiliations +

Optical Engineering, Vol. 53, Issue 4, 045103 (April 2014). https://doi.org/10.1117/1.OE.53.4.045103

Abstract

White light-emitting diodes (LEDs) are predicted to be widely used in domestic applications in the future, because they are becoming widespread in commercial lighting applications. The ability of LEDs to be modulated at high speeds offers the possibility of using them as sources for communication instead of illumination. The growing interest in using these devices for both illumination and communication requires attention to combine this technology with modern lighting layouts. A dual-function system is applied to three models of modern lighting layouts: the hybrid corner lighting layout (HCLL), the hybrid wall lighting layout (HWLL), and the hybrid edge lighting layout (HELL). Based on the analysis, the relationship between the space adversity and the signal-to-noise ratio (SNR) performance is demonstrated for each model. The key factor that affects the SNR performance of visible light communication is the reliance on the design parameter that is related to the number and position of LED lights. The model of HWLL is chosen as the best layout, since 61% of the office area is considered as an excellent communication area and the difference between the area classification, Δp, is 22%. Thus, this system is applicable to modern lighting layouts.

1. Introduction

Recently, light emitting diodes (LED) have been utilized in a wide range of applications in visual signaling, information display, and the automotive industry because of their high brightness levels, long life span, and low power consumption.¹ For these reasons and due to concerns regarding environmental issues,²^,³ LEDs are predicted to replace existing lighting sources, such as incandescent and fluorescent lamps, in next-generation illumination.⁴^–⁶ LEDs can also be modulated at high speed, offering the possibility of using sources for simultaneous illumination and high-data rate communication.⁷^–⁹ These systems are usually referred to as visible light communication (VLC) systems, which have many attractive features such as unlimited, unregulated bandwidth (BW), immunity to interference caused by other electronic equipment, and the possibility of frequency reuse in adjacent rooms.¹⁰^–¹³ In fact, a VLC system can be considered as a candidate for the wireless indoor links because it uses an illumination device that is easy to install.¹⁴ To apply the VLC system for both illumination and communication, a study on the physical model of the lighting layout, which affects the system efficiency, was recently conducted.

The first model of ceiling lighting layout for indoor communication was proposed previously by Fan et al.,⁵ which addressed the effect of reflection. Then, in Ref. 15, the numerical studies of the influence of intersymbol interference (ISI) on the visible-light communication system are carried out. According to these studies, interference affects the performance of the communication system. The same layout was proposed by Lubin et al.,¹⁶ focusing on the data rate transmission using equalizer. With this technique, they could double the transmission rate up to $32 Mb / s$ . However, neither paper discussed the influence of lighting layout on the performance of the system. Recently, the study of the effectiveness of the ceiling lighting and corner lighting layouts for visible light applications has been presented by Ding et al.¹⁷ Although the ceiling lighting layout gives the best performance of the VLC system, improvements have not yet been made to the corner lighting layout. Another investigation on a physical model was conducted by Miya and Kajikawa,¹⁸ in which they developed a simulation interface for the user depending on their own proposed base-station layout. By using the user-interface system, an appropriate base-station layout that satisfies all conditions was demonstrated by considering the requirements of both lighting and communication. This article investigates the performance of the VLC system using the proposed models of modern lighting layouts to make it applicable in reality.

This article is organized as follows. In Sec. 2, three models of modern lighting layouts are provided—the hybrid corner lighting layout (HCLL), the hybrid wall lighting layout (HWLL), and the hybrid edge lighting layout (HELL)—to implement the VLC system including an overview of the LED bulbs’ position in order to achieve the target lighting levels. Section 3 presents the communication channel of the VLC system including the drawback of ISI on the system. In Sec. 4, the system performance based on SNR value is investigated analytically. Finally, results of our investigation are summarized in Sec. 5 and major conclusions are drawn in Sec. 6.

2. Models of the Lighting Layouts

To design the models of the lighting layouts, we must determine the visual task that will be performed within the task area, because different rooms require different lighting solutions. In this study, the models of the lighting layouts are implemented for an office space with the dimensions of $5 \times 5 \times 3 m^{3}$ ( $width \times length \times height$ ). According to Malaysian Standard (MS 1525:2001),¹⁹ the minimal recommended brightness of an office area must be uniformly distributed at an average brightness value of 300 lux. Given the required brightness of the model area, the number of lights that is needed to illuminate the office area can be calculated as follows:

Eq. (1)

N = \frac{A E}{F},

where

F

is the total lumen output value of the LED lights,

E

is the average illumination level of the working plane, and

A

is the area of the working plane. By considering the ideal case, the utilization and maintenance factors are neglected in this calculation.

According to the calculation in Eq. (1), the required lumen output to obtain a brightness of 300 lux is 7500 lumen. The number of lights depends on the total luminous flux divided by the value of the luminous flux emitted by a single LED bulb. Six LED bulbs are required, and each emits 1200 lumens with an operating power of 12 W. The 12-W operating power of the LED bulb is equivalent to an operating power of 85 W for an incandescent light. All lighting layout models are designed using six LED bulbs to implement the VLC system.

2.1.

Lighting Layout Models

Figure 1 shows the model of the working area using six LED bulbs, and Table 1 shows the location of the LED bulbs based on the model types. Referring to Fig. 1, the working plane is taken to be 0.8-m high because the recommended average desk height in Malaysia is approximately 0.8 m from the floor finish level.²⁰ Thus, the height is considered to be fixed at 2.2 m by assuming that the receiver is placed at the working plane level, as shown in Fig. 1. There are three types of lighting layout models proposed in this article: the HCLL, HWLL, and HELL. The differences between them are the positions and the coordinates of the light fixtures, as shown in Table 1. The design parameters have been fixed according to the illumination standard; therefore, all the models are designed to use six LED bulbs at different positions, as shown in Table 1.

Fig. 1

The model of the working area for the visible light communication (VLC) system.

Table 1

The coordinate of the LED bulbs.

	Corner		Wall		Edge
Location type	$x$	$y$	$x$	$y$	$x$	$y$
Normal	0	0	0	2.5	0	1.25
	0	5	2.5	5	1.25	5
	5	0	2.5	0	3.75	0
	5	5	5	2.5	5	3.75
Hybrid	0	0	0	2.5	0	1.25
	0	5	2.5	5	1.25	5
	5	0	2.5	0	3.75	0
	5	5	5	2.5	5	3.75
	2.5	1.25	1.25	3.75	1.25	2.5
	2.5	3.75	3.75	1.25	3.75	2.5

For the HCLL model, four LED bulbs are fixed at every corner of the area, and the other two bulbs are fixed on the ceiling. The difference between the common corner lighting layout and HCLL is the additional two LED bulbs fixed on the ceiling. The transmitter is fixed at 2.2-m height from the receiver. The coordinates and positions of the LED bulbs at the ceiling plane are shown in Fig. 2(a) and listed in Table 1.

Fig. 2

(a–c) The coordinate of the LED bulb for each model of the lighting layout: (a) hybrid corner lighting layout (HCLL), (b) hybrid wall lighting layout (HWLL), and (c) hybrid edge lighting layout (HELL). The number inside the two-dimensional diagram represents the coordinate of $(x, y)$ .

The second scheme is the HWLL, where four LED bulbs are fixed on the wall and the other two bulbs are fixed on the ceiling. The model of the HWLL is different from the common wall lighting layout because of the additional two LED bulbs on the ceiling. The coordinates of the LED bulbs in $x$ - and $y$ -axes are also given in Table 2, and the top view is shown in Fig. 2(b). The height remains the same as in the first model.

The last layout model is the modification of the HWLL, named as HELL. With the same height as in the previous layout models, the $x$ and $y$ coordinates of the LED bulbs at the ceiling plane are given in Table 1 and illustrated in Fig. 2(c). The term hybrid is used which refers to the combination of the LED bulbs being fixed either at the corner or at the wall with LED bulbs fixed on the ceiling. The purpose of such combination is to ensure that the whole area is illuminated with sufficient brightness and to prevent blind-spot conditions. The uniformity of the light distributions of the three lighting layout models, which contributes to the efficiency of the VLC, was investigated.

3. VLC

In this section, mathematical modeling is used to describe the VLC system. The mathematical modeling begins with the intensity radiation of the LED light at the transmitter. The next subtopic discusses the expression for the channel gain and the effect of ISI on the VLC system. Using the channel gain equation for the intensity modulation and direct detection (IM/DD) technique, the received power can be determined by assuming that the light collected by the photodetector produces a current proportional to the instantaneous received power.

3.1.

Transmitter

In the VLC system, the data are transmitted using the LED light through an optical medium to the receiver. The emission of light from the surface of the LED lamp can be assumed to have a Lambertian radiant intensity,²¹ which can be expressed as

Eq. (2)

R_{o} (\emptyset) = [\frac{p + 1}{2 π}] \cos^{p} (\emptyset),

where

p

is the order of the Lambertian emission, which is related to the

\emptyset_{1 / 2}

of the transmitter semiangle (at half-power), and it is given by

Eq. (3)

p = - \ln 2 / \ln (\cos \emptyset_{1 / 2}) .

By assuming that the transmitter emits an axially symmetric radiation pattern, the transmitted power, $P_{t}$ , from the LED can be expressed as

Eq. (4)

P_{t} = \sum_{i = x}^{LED} P_{x} \times R_{o} (\emptyset),

where

P_{x}

is the power emitted by the LED.

3.2.

Optical Wireless Channel

According to Barry and Kahn,²² a practical transmission technique for short-range communication in indoor applications is the IM/DD using on–off keying (OOK) modulation. This technique leads to an efficient spatial diversity, which prevents multipath fading. With this technique, the photodetector produces a current proportional to the instantaneous received power.

Today, the major challenge in research on VLC systems is the limitation of modulation BW for higher rates of data transmission.²³ The first experiment was demonstrated using the OOK technique that obtained data transmission rate up to $40 Mb / s$ based on the “blue-filtering” approach.⁹ The improvements on the data rate transmission had achieved up to $80 Mbit / s$ (Ref. 24), $100 Mbit / s$ (Ref. 25), and $125 Mbit / s$ (Ref. 26) by using analogue equalization at the receiver. Moreover, a higher transmission rate up to $230 Mbit / s$ (Ref. 27) was obtained using the same technique without equalization but with the use of an avalanched photodiode as the receiver instead of a photodiode (PD). Another modulation technique was recently introduced which is known as discrete multitone modulation. This modulation technique was able to achieve a transmission rate up to $200 Mbit / s$ (Ref. 28) and currently improves the data transmission rate up to $513 Mb / s$ .¹³ In this analysis, the OOK modulation technique is used to provide the BW of the system up to 50 MHz for high data rate transmission. This BW is the minimum BW size to provide sufficient optional data rates for multimedia transmission such as real-time video, graphics, and the high-speed transfer of very large files.²⁹

The presence of ambient light due to exposure of the photodetector caused by ambient light arising from sunlight, skylight, and incandescent and fluorescent lights is also taken into account.²¹^,³⁰^,³¹ The presence of such unmodulated sources may induce shot noise in the wireless system and degrade the performance of optical wireless channel transmission.³² The shot noise can be modeled as white Gaussian noise, and the optical wireless channel is assumed to be an optical additive white Gaussian noise (AWGN), $Y (t)$ , that can be expressed as follows:¹¹

Eq. (5)

Y (t) = η X (t) \otimes h (t) + N (t),

where

η

is the detector sensitivity in units of A/W,

N (t)

is the AWGN,

\otimes

denotes the convolution,

X (t)

is the instantaneous input power, and

h (t)

is the impulse response.

3.3.

ISI

Generally, the fading phenomenon occurs in optical wireless communication systems due to the existence of more than one version of signals received by the receiver at slightly different times.³³ It could be the effect of multipath light propagation from multiple transmitters to a single receiver or the effect of nondirected line of sight (LOS) links. The nondirected LOS links are produced by refraction and reflection from the surroundings (the room properties and the distribution of light on the ceiling) of the transmitted light beam. The multipath signals arrive at the receiver at slightly different times and have different amplitudes and phases. By assuming that each white LED bulb only consists of one straight LOS path,³⁴ the delay is caused by the signals produced by multiple transmitters located within the field of view (FOV) of the receiver.

The multipath propagation causes ISI and degrades the performance of the system. The condition that contributes to ISI is that the data rate is out of the filter BW range, $T$ , with the signal arriving at the receiver within a time that is smaller than the symbol period delay, $t_{0}$ . In the ideal case (without delay), the received power $P_{r}$ , arriving at the photodetector in the time domain, is given by¹⁵

Eq. (6)

P_{r, ISI} (t) = \int_{T}^{\infty} h {(t)}_{i} X (t) d t .

The received power for a directed LOS link without considering the delay time can be expressed as

Eq. (7)

P_{r, ISI} (t) = \int_{T}^{\infty} η_{LOS, i} δ (t) X (t) d t,

where

η_{LOS}

is the channel gain for LOS, and

X (t)

represents the amplitude of the rectangular pulse using OOK modulation.

Assuming that the delay of the signal arriving at the photodetector is greater than half of the symbol period delay, the received power that considered as ISI, $P_{r, IST}$ , is given by

Eq. (8)

P_{r, ISI} (t) = \sum_{i}^{LED} η_{LOS, i} \int_{T}^{\infty} δ (t - t_{0}) d t, (T / 2 < t_{0}),

where

t_{0}

is the corresponding signal delay. The BW of the system is limited to 50 MHz, as mentioned above, and therefore the symbol period is limited to

20 \times 10^{- 9} s

. The ISI will occur if the signal has a delay greater than half of the symbol period. In this analysis, the presence of ISI for each model is investigated for the maximal delay between two LOS optical paths. These paths are determined by the maximal radiation angle of the transmitter and its height from the working plane. The equation for calculating the time delay is given by³⁵

Eq. (9)

t_{0} = \frac{{(l - d)}^{2} + t^{2} - \sqrt{(d^{2} - t^{2})}}{c},

where

c

is the light speed, and

l

,

d

, and

t

are given in Fig. 3.

Fig. 3

The parameter to calculate the time delay due to different optical paths.

Based on the calculation, the maximum time delay produced by the three models is $5.2 \times 10^{- 9} s$ , showing that ISI due to different LOS paths is not present. Therefore, the influence of ISI in the channels of the three models of lighting layouts can be neglected.

3.4.

Received Power

The light beams emitted by LED bulbs pass through the optical filter and concentrator before reaching the receiver. Upon falling on the receiver surface, the optical signal is converted to an electrical signal and then processed by conventional electronics to recover the information. The average received optical power $P_{r}$ collected by the receiver is given by¹¹

Eq. (10)

P_{r, sig} = H (0) P_{t},

where

H (0)

is the DC channel gain, and

P_{t}

is the average transmitted optical power. By assuming that the optical power emitted from the LED is characterized by a Lambertian output pattern, the DC channel gain

H (0)

for visible light with the directed and LOS link conditions can be expressed as²¹

Eq. (11)

H {(0)}_{LOS} = \frac{(p + 1) A \cos {(\emptyset)}^{m} T_{s} g (ψ) \cos (ψ)}{2 π d^{2}},

where

p

represents the order of Lambertian emission,

A

refers to the physical area of the photodetector,

T_{s}

is the optical filter gain, which is assumed to be 1,

Ø

is the irradiance angle,

ψ

is the angle of incidence,

d

is the distance between the source and the receiver, and

g (ψ)

is the optical concentrator gain. The optical concentrator is used to improve the collection efficiency of the receptors.³⁶^,³⁷ In the case of a nondirected LOS link, the value of the angle of

Ø

is assumed equivalent to the angle of

ψ

.

The concentrator gain, $g (ψ)$ , is given by¹¹

Eq. (12)

g (ψ) = [n^{2} / \sin {(ψ)}^{2}] if 0 < ψ < ψ_{c},

where

n

is the refractive index, which has a value of 1.5, and

ψ_{c}

is the FOV of the photodetector.

To obtain the maximum value of the DC channel gain, some parameters are fixed such as the physical area of the receiver, the FOV of the photodetector, the refractive index of the optical concentrator, and the optical to electrical conversion efficiency. The DC channel gain depends on the incidence angle, and it should be less than the FOV of the photodetector. No signal is received if the incidence angle exceeds the FOV because no light will fall on the photodetector.

4. Quality of the Received Data

The values for the channel gain and received power are unable to demonstrate the efficiency of the system; thus, the SNR is calculated to evaluate the performance of each lighting layout model. The quality of the communication systems of the three models is expressed with an SNR distribution that is given as¹⁶

Eq. (13)

SNR = {{[γ H (0) P_{t}]}^{2} / N^{2}},

where

γ

denotes the responsivity of the photodetector;

P_{t}

is the transmitted power, which is assumed to be 12 W; and the total variance,

N^{2}

, is the Gaussian noise associated with the output current produced by the receiver and can be expressed as¹⁵^,³²

Eq. (14)

N^{2} = (σ_{shot}^{2} + σ_{thermal}^{2}) .

In this article, the preamplifier noise is neglected, and the noise is assumed to be dominated by the shot noise due to the influence of ambient light, which is given by³⁶^,³⁸

Eq. (15)

σ_{shot}^{2} = 2 q I_{bg} I_{2} B + 2 P_{t} q γ B H (0),

where

q

is the electrical charge,

I_{bg}

is the background current,

B

is the noise BW, and

I_{2}

is the noise BW factor for a rectangular pulse shape,

I_{2} = 0.562

.³⁷ Again, to achieve measurement accuracy, the gate leakage current and

1 / f

noises are neglected in this study, assuming that the background light current is due to sunlight, which leads to a value of

5100 \times 10^{- 6} A

.³⁰ The target of this system is to provide sufficient optional data rates for multimedia transmission such as the real-time video, graphics, and the high-speed transfer of very large files. A silicon-based PD, OSD5-15T type, is used, and it has a responsivity of

0.21 A / W

in the blue region.

Due to the use of a photodetector as the receiver, the thermal noise also plays a role in contributing to the noise in the system. Following the analysis of Smith and Personick, the thermal noise is expressed as²²^,³⁹

Eq. (16)

σ_{thermal}^{2} = \frac{8 π k T_{k} A I_{2} B^{2}}{G} + \frac{16 π^{2} k T_{k} A^{2} η^{2} B^{3} I_{3}}{g m},

where

k

is the Boltzmann constant,

η

is the fixed capacitance per unit area,

T_{k}

is the environmental temperature,

G

is the open-loop gain,

g m

is the field effect transistor (FET) transconductance,

Γ

is the FET channel noise factor, and

I_{3}

is the noise BW factor for a full, raised-cosine, equalized pulse shape with a value of 0.0868. The terms in Eq. (15) represent the feedback-resistor noise and FET channel noise, respectively.

To maintain a stable communication link using the OOK modulation scheme, the minimum desired value of SNR is 13.6 dBm.⁴⁰ In this section, the SNR value should be determined by the receiver, which is placed within the illuminated area. The calculation was performed using MathCad software to determine the SNR of the multiple LED lights in the office area with a single photodetector as the receiver on the working plane level. The parameters of the system are fixed according to the values stated in Table 2.

Table 2

Parameters for SNR calculation.

Parameter	Symbol	Value	Unit
Transmitter semiangle	$\emptyset_{1 / 2}$	60°	degree
Gain of optical filter	$T_{s}$	1	-
Photodetector area	A	$10^{- 4} m^{2}$	Meter square
Refractive index	n	1.5	-
Height	Z	2.2 m	meter
Transmitted power, $P_{t}$	$P_{t}$	12 W	Watt
Fixed capacitance of photodetector per unit area	$ή$	$1.12 \times 10^{- 6} / m^{2}$	Per meter square
Noise bandwidth	B	50 MHz	Hertz
O/E conversion efficiency (OSD5-15T)	$γ$	$0.21 A / W$	Ampere per watt
Background current	$I_{bg}$	5100 μA	ampere
Open-loop voltage gain	G	10	-
FET transconductance	gm	30 mS	siemens
Noise bandwidth factor	$I_{2}$	0.562	-
Temperature	$T_{k}$	300 K	Kelvin
FET channel noise factor	Г	1.5	-

The coordinates of the LED lights are given in Table 1. Basically, the LED lights that operate as the transmitters are distributed at the same height but at different $x$ and $y$ coordinates. The SNR of the system can be represented for each model as

Eq. (17)

SNR = \sum_{i = 1}^{6} \frac{{[γ H {(0)}_{i} P_{t i}]}^{22}}{N^{2}} .

5. Results and Discussion

The SNR distributions for all the lighting layouts models are explained below. In our case, the range of SNR values for the three models varies from a minimum value of 57 dB to a maximum value of 67 dB. To analyze the performance of the models, it is convenient to classify the SNR values as “excellent area,” “good area,” and “acceptable area,” as shown in Table 3. Although the SNR that is obtained via analytical studies is above the minimum desired value,¹⁶ the purpose of classifying the area is to study the uniformity of the SNR distribution for each layout. The analytical analysis performed by Grubor using an Si-based PD with a responsivity of $0.28 A / W$ showed an improvement of the SNR distribution value from the range of 47 to 60 dB (minimum, maximum)⁴¹ to the range of 60 to 73 dB (minimum, maximum)⁴ with additional of LED chips at the ceiling plane. Another analytical study in Ref. 16 achieved the lowest SNR of 69 dB by using the responsivity of a PD of $0.4 A / W$ .

Table 3

Area classification.

Area	SNR (dB)
Excellent communication area	$65 \geq$
Good communication area	64 to 60
Acceptable area	$\leq 59$

Note: The factory standard for a good SNR value is 40 dB using pulse-position modulation technique.42

5.1.

HCLL Model

Figure 4(a) depicts the SNR distribution of the HCLL using six LED bulbs. The figure shows that the SNR are uniformly distributed within the range of 60 to 65 dB. However, based on the area classification, the excellent communication area only contributes approximately 9.5% of the total office area, while the remaining areas are considered as good communication areas. Referring to Fig. 2(a) and Table 1, two LED bulbs are fixed on the ceiling at the coordinates of (2.5, 1.25) and (2.5, 3.75). The purpose of placing the bulbs at these specific coordinates is to support the lighting at the center area, since the four bulbs placed at each corner are unable to give sufficient brightness. The combination of the light intensity radiated by the corner lights and the ceiling lights increased the SNR due to the increased received power.

Fig. 4

(a–c) The contour plot of the signal-to-noise ratio (SNR) distribution for each model: (a) HCLL, (b) HWLL, and (c) HELL. The number inside the two-dimensional diagram represents the SNR value.

5.2.

HWLL Model

The results in Fig. 4(b) show the SNR distribution of the model of HWLL. The range of SNR distributions for this model is within 67 to 57 dB. However, Fig. 4(b) shows the decrement of the SNR at two corner areas with values below 60 dB. These areas are approximately 1.5% of the whole office area and are considered as acceptable areas. In this figure, approximately 61% of the office area is considered as an excellent area for communication due to the combination of luminous intensities produced by the wall lights and ceiling lights, as shown in Table 1. The SNR decreased at the coordinates of (0, 0) and (5, 5) in the $x - y$ plane because both areas are far from the lighting sources. Therefore, the light intensity that fall on the areas is low and decreases the received power accordingly.

5.3.

HELL Model

Figure 4(c) depicts the SNR distribution versus the coordinates $(x, y)$ of the office area with the HELL layout model. The range of SNR values for this model varies from the highest value of 67 dB to the lowest value of 61 dB. The percentage of excellent area is approximately 52% of the whole area, whereas 48% of the area is considered as good communication area. The SNR value at the corner area is lower than the center area because the illumination relies only on the wall light, whereas at the center area, the illumination is produced by the combination of wall lights and ceiling lights. The combination of wall lighting intensity and ceiling lighting intensity increases the SNR value due to the increment of received power.

The LED bulbs fixed on the ceiling for each model increase the brightness of the working area, because the four LED bulbs at the corners and on the walls provide insufficient illumination. The arrangements of LED lights influenced the light distribution for the entire simulated area. As the distance between the source and receiver increases, the SNR decreases accordingly because the light intensity is inversely proportional with the distance, and thus, decreasing the received power and degrading the SNR distribution within the working area.

The SNR distribution can be analyzed easily using the contour plot of the SNR distribution versus the length and width of the office area. Using the contour plot, the percentages of area classification of the SNR distribution can be calculated using the following equation:

Eq. (18)

Y_{Area %} = \frac{X}{T_{A}} \times 100,

where

X

is the area of the SNR distribution with the specific range of SNR as stated in Table 3,

T_{A}

is the total area of

25 m^{2}

, and

Y

is the classified area referring to the range of

X

.

Figure 5 illustrates the performance of the VLC system based on the area classification, as shown in Table 3. In this analysis, the best lighting layout must meet two criteria. The first criterion is the ability to achieve a high SNR distribution value, which is classified as the excellent communication area. The second criterion is having a uniform SNR distribution within the working area. Uniformity is defined as obtaining high percentage of the classified area. For practical implementation, uniformity is essential to prevent no-signal condition being detected within the area.

Fig. 5

The histogram depicts the percentage area of SNR for each model of lighting layout.

To simplify the analysis of each model, the difference between the areas of classification for each model is being calculated, which is represented by $Δ p$ , based on Fig. 5. The parameter $Δ p$ is considered positive if the percentage of the “excellent” area is higher than the “good” and “acceptable” areas, whereas $Δ p$ is negative if the opposite is true. The model with the greatest value of $Δ p$ is considered the best model, because it has a large “excellent” area.

According to Figs. 4(a)–4(c) and 5 and Table 4, the HWLL meets the requirement of the first criterion and is considered the best layout because this layout obtained the highest value of $Δ p$ , as shown in Table 4. Although the HWLL consists of an area that is considered as an acceptable area, as shown in Fig. 5, the portion is very small and can be neglected. In fact, the value of “acceptable” areas is still above the factory standard and essentially considered to be “good.”

Table 4

Model selection.

Model type	$Δ p$ (%)
HCLL model	$- 81$
HWLL model	22
HELL model	4

6. Conclusion

This article proposed three models of modern lighting layouts for indoor VLC system. It is important to ensure that the system met the requirement of optical lighting and optical transmission. From the analytical results, all three layouts achieved SNR value within 57 to 67 dB using OOK modulation format for 50-MHz modulation BW. In fact, by using 50-MHz modulation BW, the ISI is neglected because the difference of the delay period of two signals emitted by different sources is still within the modulation BW. It is also observed that the uniformity of the LED light distributions and without the effect of interference is the key factor to enhance the performance of the VLC system. Based on the two criteria, the system performances for all layouts were compared referring to SNR distribution. From the analysis, HWLL layout was chosen to be the best layout to implement the VLC system, since the entire office area obtained an excellent SNR distribution with $Δ p$ value of approximately 22%. This analysis implies that the VLC system can be implemented in the modern lighting layout for next generation.

Acknowledgments

This work was supported by the School of Electrical and Electronic, University of Science Malaysia, and conducted at the Department of Electrical, Electronic and System of Faculty of Engineering and Built Environment, National University of Malaysia.

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Biography

Luqman A. Azizan is currently a master’s candidate from the Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, National University of Malaysia. He received his BEng degree from University of Science Malaysia in the field of electrical engineering in 2007. His current research interests are in renewable energy, optical communication, and visible light communication.

Mohammad S. Ab-Rahman is a professor in the Department of Electrical, Electronics, and System Engineering, Faculty Universiti Kebangsaan Malaysia (UKM). He received the BEng, MSc, and PhD degrees in electrical, electronics, and systems engineering from UKM, Selangor, in 2000, 2003, and 2007, respectively. He is a member of the Institute of Electronics, Information and Communication Engineers (IEICI), Japan, and the Institution of Engineers Malaysia (IEM), Board of Engineers Malaysia (BEM). He joined the Institute of Micro Engineering and Nano Electronics (IMEN) in 2003. He has also been an associated research fellow in IMEN since 2006. His current research interests are in the area of photonic networks and optical communication.

Mazen R. Hassan is a senior lecturer at Asia Pacific University. He received his BSc and MS degrees in 1999 and 2002, respectively, from University of Basra, Basra, Iraq, and a PhD degree from Universiti Kebangsaan Malaysia (UKM) (National University of Malaysia), Malaysia, in 2011, all in electrical engineering. His current interests include modeling of laser diodes employed in optical communication systems and subjected to physical phenomena.

A. Ashrif A. Bakar received a PhD degree in electrical engineering from the University of Queensland, Australia, in 2010. He joined the Universiti Kebangsaan Malaysia in 2005 as an academic staff and researcher. He is currently a senior lecturer at the Department of Electrical, Electronics, and Systems Engineering, Universiti Kebangsaan Malaysia. His research interests are related to photonics technology, specifically on optical sensor development, optical fiber subsystems, and devices and biomedical applications.

Rosdiadee Nordin received his BEng degree from Universiti Kebangsaan Malaysia, in 2001, and a PhD degree from University of Bristol, United Kingdom, in 2011. He is currently a senior lecturer in the Department of Electrical, Electronics, and System Engineering in Universiti Kebangsaan Malaysia. His research interests include multiple-input multiple-output (MIMO), orthogonal frequency-division multiple access (OFDMA), resource allocation, energy efficient wireless communication, indoor wireless localization, and visible light wireless communication.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Luqman A. Azizan, Mohammad S. Ab-Rahman, Mazen R. Hassan, A. Ashrif A. Bakar, and Rosdiadee Nordin "Optimization of signal-to-noise ratio for wireless light-emitting diode communication in modern lighting layouts," Optical Engineering 53(4), 045103 (9 April 2014). https://doi.org/10.1117/1.OE.53.4.045103

Published: 9 April 2014

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KEYWORDS

Signal to noise ratio

Light emitting diodes

Light sources and illumination

Telecommunications

Receivers

Modulation

Wireless communications

1.

Introduction

2.

Models of the Lighting Layouts

Eq. (1)

2.1.

Lighting Layout Models

Fig. 1

Table 1

Fig. 2

3.

VLC

3.1.

Transmitter

Eq. (2)

Eq. (3)

Eq. (4)

3.2.

Optical Wireless Channel

Eq. (5)

3.3.

ISI

Eq. (6)

Eq. (7)

Eq. (8)

Eq. (9)

Fig. 3

3.4.

Received Power

Eq. (10)

Eq. (11)

Eq. (12)

4.

Quality of the Received Data

Eq. (13)

Eq. (14)

Eq. (15)

Eq. (16)

Table 2

Eq. (17)

5.

Results and Discussion

Table 3

5.1.

HCLL Model

Fig. 4

5.2.

HWLL Model

5.3.

HELL Model

Eq. (18)

Fig. 5

Table 4

6.

Conclusion

Acknowledgments

References

Biography

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