Study on modulation techniques for downlink chanel in Li-Fi

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TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI  
STUDY ON MODULATION TECHNIQUES FOR  
DOWNLINK CHANEL IN LI-FI  
Nguyen Ngoc Tan1  
Hanoi Metropolitan University  
Abstract: Light-Fidelity (Li-Fi) is considered as a fully optical networked communication  
with the capability of bidirectional transmission. Li-Fi is a subset of Visible Light  
Communications (VLC) using visible light to modulate mobile data which offer many  
advantages in indoor environment. This paper is aimed to provide a comprehensive  
knowledge to the available modulation techniques which is utilized for downlink channel  
in VLC networks and particularly in Li-Fi. These modulation schemes are clarified and  
then grouped for the clearly and throughout vision in the paper. Advantages and  
disadvantages of them are also given out adequately and compared to each other.  
Keywork: Light-Fidelity (Li-Fi), Visible Light Communications, Optical Wireless  
Modulation Techniques  
1. INTRODUCTION  
Recently, mobile wireless data is represented to be growing exponentially. For  
example, it is reported only 0.9 EB per month to be used in 2012, however, the figure of  
global mobile data traffic is 11.2 EB per month in 2017 [1]. Another example on YouTube  
is approximately 140 views on YouTube per person on the earth (over 1 trillion views) in  
2011, 72 hours of video are uploaded to YouTube every minute while 25% of global  
YouTube views come from mobile devices [2]. These examples lead to Radio Frequency  
(RF) spectrum shortage which has a limit available spectrum of under 10 GHz. A  
promising solution is exploited an extremely large amount of visible light bandwidth which  
is approximately 320 THz (430 – 750 THz). Light-Fidelity (Li-Fi) is an optical wireless  
network which takes the feature of well-known Visible Light Communication networks by  
using light emitting diodes (LED) [3]. Therefore, Li-Fi is consider as nm-wave  
communication. Li-Fi with enhanced capacity provides the necessary connectivity to  
1 Nhận bài ngày 17.04.2016; gửi phản biện và duyệt đăng ngày 10.05.2016  
Liên hệ tác giả: Nguyễn Ngọc Tân; Email: [email protected]  
TẠP CHÍ KHOA HỌC SỐ 4/2016  
93  
realise the Internet-of-Thing (IoT), and contribute to the key performance indicators for the  
5th generation and beyond [3].  
Due to basing on electromagnetic radiation for information transmission similar to RF  
networks, hence typical modulation techniques in RF communication might be transferred  
in VLC systems, particularly in Li-Fi with suitable modifications such as pulse modulation  
techniques On-Off Keying (OOK) [4]-[7], Pulse Width Modulation (PWM) [7], Pulse  
Position Modulation (PPM) [6]-[8] which uses single-carriers for data transmission.  
However, they are restricted to transmit data at high speed due to narrow-band  
interference. OFDM is an efficient modulation technique for high speed data  
communication through bandlimited channels, and is being widely used in RF which might  
be applied in Li-Fi with the change of modulated data type [9]-[12]. There are several  
different forms of OFDM for IM/DD systems: asymmetrically clipped optical OFDM  
(ACO-OFDM) [13], DC biased optical OFDM (DCO-OFDM) [6], and other forms based  
on ACO-OFDM and DCO-OFDM [13]. Moreover, Li-Fi also takes a number of advanced  
and specific modulation schemes as Color Shift Keying (CSK) [19]-[21], Optical Spatial  
Modulation (OSM) [22]-[23], Hadamard Code Modulation (HCM) [24]-[25] which  
consider other requirements such as power efficiency and the complexity.  
The rest of this paper is organized as follows. Section II describes conventional  
modulation techniques which catalogued into two kinds of carriers consisting of single-  
carrier modulation and multi-carrier modulation schemes. Advanced modulation  
techniques for Li-Fi is introduced in section III. Finally, conclusions are drawn in section  
IV.  
2. CONVENTIONAL MODULATION TECHNIQUES  
In this section, a number of conventional digital modulation techniques typically  
utilized in VLC, especially in VLC are summarized and discussed. As the same way to RF  
communication, Li-Fi also modulates baseband electronic signals onto higher frequency  
carriers, but in visible light spectrum. Therefore, all generally RF modulation techniques  
are also able to apply to Li-Fi. However, almost VLC systems are realized as an IM/DD  
system, which means that the modulated signal has to be both real value and unipolar.  
Single-carrier Modulation  
On-Off Keying  
On-Off Keying (OOK) is the most implemented modulation technique for an IM/DD  
system because of its simplicity. In the scheme, a bit one is represented by an optical  
intensity pulse that occupies the entire or part of the bit duration and a bit zero is  
represented by the absence of an optical pulse. The optical pulse can be formed into two  
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TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI  
types, non-return-to-zero (NRZ) and return-to-zero (RZ) with duty cycle     0.5 [4] which  
is illustrated in Fig. 1. Because OOK sequentially turns on and off the LED to transmit  
data, it has the capability to support dimming. The use of RZ pulses having a duty cycle  
          increases the bandwidth requirement by a factor of 1/  . Due to the increased  
noise associated with this expanded bandwidth is outweighed by the 1/   increase in peak  
optical power, however, it decreases the average power requirement. NRZ-OOK is  
represented as a modulation scheme with a good compromise between the power  
requirement and bandwidth efficiency. N. Fujimoto, et al. represented OOK-NRZ based  
systems which achieved high data rate of 477 Mbps [5] and 614 Mbps [6] in 2012 and  
2013. However, this method is not efficiency in term of illumination control and suffers  
flicker.  
Pulse Position Modulation  
PPM is a potential candidate for the pulse modulation techniques and is considered as  
an orthogonal modulation technique [6] due to utilizing an L-PPM symbol including a  
pulse of constant power occupying one slot duration within L possible time slots while the  
rest of it is empty. In other words, information is modulated to the position of the pulse  
which corresponds to the decimal value of the M-bit (2M = L) input data as shown in Fig. 1.  
In PPM, the duration for a time slot Ts-PPM is shorter than the OOK bit duration Tb-OOK in  
order to gain the same throughput as OOK which is:  
TbOOK  
L
M
TsPPM  
(1)  
The transmit pulse shape for L-PPM is given by [21]:  
1
for t   m 1 TsPPM ,mTsPPM  
x t  
 PPM  
(2)  
0 elsewhere  
Fig. 1. Comparison of time waveforms between OOK and PPM.  
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There is a considerable increment in system complexity when employs PPM compared  
to OOK since the receiver requires both slot and symbol synchronization in order to  
demodulate the signal [7]. The main drawback of the PPM scheme is the decrease of  
bandwidth efficiency in order to trade off power efficiency by lager constellation sizes.  
Moreover, L-PPM is a vulnerable scheme for Inter-Symbol Interference (ISI) over  
multipath channels which restricts it to high data rate systems [7]. Coming from its power  
efficiency, nevertheless, PPM has still been used widely for OWC systems, particularly in  
VLC, and handheld devices where lower power consumption is one of the primary key  
factor in designing [6]. VPPM is a simple modification of PPM combining PPM and PWM  
(Pulse Width Modulation) to provide dimming support by adjusting the width of signal  
pulses corresponding to required brightness levels. In order to achieve improved power  
efficiency as well as bandwidth efficiency, Differential PPM (DPPM) which removes all  
the redundant slots following an occupied pulse by a PPM symbol, is proposed in [8].  
Multi-carrier Modulation  
SCM schemes are not preferred for high-speed data transmission because of non-linear  
signal distortion at LED front-end and Inter-Symbol Interference (ISI) result of the  
frequency  
selectivity  
in  
dispersive  
optical  
wireless  
channels. In order to improve more bandwidth efficiency, MCM is considered to replace  
conventional SCM with an energy penalty. OFDM which is a realisation of MCM, has  
been widely used in high-speed wired and wireless communication systems since it has the  
capability to handle ISI and its high spectrum efficiency [9]-[12]. In order to gain data rate  
up to 1Gbps or higher via OWC systems, OFDM is also considered as an attractive  
technique. The standard OFDM in RF systems cannot applied directly to OWC systems,  
however, due to OWC systems are based on Intensity Modulation/ Direct Detection  
(IM/DD) which means the transmitted optical signals must be unipolar. Therefore, the  
design of the conventional OFDM need to modify before applied to IM/DD optical  
wireless communication systems. There are a number of innovated OFDM versions  
proposing for IM/DD systems involved Asymmetrically Clipped Optical OFDM (ACO-  
OFDM) [14], DC biased optical OFDM (DCO-OFDM) [15]-[16], and other forms relies on  
the conventional form of ACO-OFDM and DCO-OFDM.  
DCO – OFDM  
A typical model of DCO-OFDM is described in Fig. 2 [11]. After being converted  
from serial to parallel and mapped by a conventional modulation such as M-QAM, the  
input data has become a complex data signal vector where its size is then doubled by  
Hermitian symmetry in order to create a N complex sample vector X = [X0, X1, …, XN-1]:  
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TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI  
N
Xn XN* n for 0 n   
(3)  
2
where N is the number of subcarriers used for OFDM, and specific elements X0 and  
XN/2 are set to zero. Then the complex vector X becomes the input of IFFT which is  
transformed from discrete frequency domain to discrete time domain to obtain a real signal  
vector x. The k-th sample in time domain of vector x is given as shown in [12]:  
N 1  
1
j2kn  
N
(4)  
xk   
X exp  
n
N   
n0  
where Xn represents the n-th subcarrier of the complex Hermitian symmetry vector X.  
Fig. 2. A DCO-OFDM system.  
Due to Hermitian symmetry and specific elements are zero, there are only (N/2 – 1)  
subcarrier carrying unique data. The real value signal vector x is then converted from  
parallel to serial and added a cyclic prefix (CP) by a DAC convertor and a low pass filter  
(LPF) block to be ready for adding a suitable DC bias. After that, all remaining negative  
peaks are clipped in order to create the transmitting signal xDCO(t). The main drawback of  
DCO-OFDM is large power consumption for eliminating negative peaks due to OFDM  
signals have a very high Peak-to-Average Power ratio (PAPR). Therefore, instead of using  
a large DC bias, a moderate DC level is used [17] while the other remaining negative  
components are clipped:  
(5)  
BDC E x t  
   
where µ is a proportionality constant and BDC is defined as a bias of 10log10(µ2 + 1)  
[11]. The optimum clipping level depends on the signal constellation at the input of IFFT.  
For practical BERs, large constellations such as 256 QAM require very high SNRs, hence  
clipping noise must be low and therefore BDC must be large. This also leads to the  
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{ }  
increment of the optical power due to             . Finally, the transmitting signal  
    
   
xDCO(t) is emitted by an optical modulator which converts directly proportional the input  
electrical current to the intensity of optical signal.  
In order to recovery the information at the receiver, the received optical  
signal is  
first converted to the electronical signal by PDs. A same process as in the conventional  
OFDM is applied after this step. In DCO-OFDM, both odd and even subcarriers are used  
to carry data. With only few negative peaks exceeded the DC-bias level are clipped,  
therefore, DCO-OFDM obtains high bandwidth efficiency compared with ACO-OFDM.  
ACO – OFDM  
The ideal of ACO-OFDM is cutting data carried on even subcarriers while maintains  
odd subcarriers for transmission. The Fig. 3 shows the front-end of ACO-OFDM as same  
as DCO-OFDM. Firstly, information is also converted from serial to parallel and mapped  
by a conventional modulation. Output of this block is performed to obtain Hermitian  
symmetry feature as defined in (3).  
Fig. 3. A ACO-OFDM system.  
In ACO-OFDM, the input signal vector X is eliminated all even subcarriers elements  
and remain only odd subcarriers elements before being taken to the IFFT, X = [0, X1, 0,  
X3, …, XN-1]. After performing the IFFT, the resulting time domain signal x is real and has  
the anti-symmetry property as represented in [18]:  
xk  xk  
N
2
(6)  
Before being converted to optical intensity by an optical modulator such as the LED or  
LD, the remaining negative elements of the electrical signal x(t) are clipped to the signal  
xACO(t) without the DC bias addition process as DCO-OFDM. It is noted that the ACO-  
OFDM would be not have any loss of information because of the anti-symmetry property.  
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TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI  
Similar to the receiver process of DCO-OFDM, the information is also recovered by  
the FFT. There is only one difference to DCO-OFDM which only data symbols on odd  
subcarriers are demodulated.  
3. ADVANCED MODULATION TECHNIQUES  
Li-Fi is represented as an excessively high data rate network model for indoor  
environment. This leads to the challenge of designing advanced modulation techniques in  
order to increase data rate on downlink channels as well as mitigate Inner-Symbol  
Interferences (ISI) caused by dispersive channel. Recently, there are several novel  
modulation schemes proposing to Visible Light Communication networks involved Color  
Shift Keying (CSK), Optical Spatial Modulation (OSM), Hadamard Coded Modulation  
(HCM) and variants of these schemes.  
Color shift keying  
Color Shift Keying (CSK) exploits the inherent feature of Visible Light  
Communication that is the color of light in order to modulate data. The basic operation of  
CSK is outlined in the standard IEEE 802.15.7 published in 2011 [27] and simply  
described in Fig. 4. CSK is represented to use for the PHY III standard which allows data  
rates ranging from 12 to 96 Mbit/s. As illustrated in the figure, incoming data is mapped on  
to the instantaneous chromaticities of the colored LEDs which are defined in the CIE 1931  
(Fig. 5). Color table in Fig. 5 the x-y coordinates of the chromaticities of the mapped bits.  
These coordinates are passed through a x-y to RGB convertor to control three Blue, Green,  
and Red monochromatic color LEDs emitting different color intensities while maintain a  
constant average perceived color for common illumination purpose [3].  
Fig. 4. Color Shift Keying system.  
At the receiver side, color optical signals are filtered by three Blue, Green and Red  
lens before detected by Photodiodes. These electronic signals are then decoded to recovery  
data by a RGB-to-Data convertor. Because of guarantee of maintaining a constant  
luminous flux, CSK would be not affected by flicker over an extremely wide frequency  
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range of visible light. Moreover, CSK also provides a dimming method for VLC networks  
by changing the current which drives the light source. However, CSK takes a disadvantage  
due to the complexity at both transmitter and receiver sides and cost efficiency. There are  
two variants of CSK involving Color Intensity Modulation (CIM) [20] and Metameric  
Modulation (MM) [21]. MM can gain higher energy efficiency and provide further control  
of the color quality. However, it requires an additional and independently controlled green  
LED. CIM is proposed to maximize the communication capacity and can achieve the  
upper-bound capacity for both orthogonal and non-orthogonal optical channels using  
inverse source coding.  
Fig. 5. CIE 1931 color space target color and corresponding RGB constellation.  
Optical Spatial Modulation  
The key design of Optical Spatial Modulation (OSM) scheme is high spectral  
efficiency while high power efficiency is still guaranteed [22]. An optical MIMO system  
model consisting of Nt transmitters and Nr receivers is consider to implement the OSM  
scheme (Fig. 6). The decisive ideal of the OSM is activating only one transmitter at instant  
time while all other elements are set to zero. Thereby, the transmitted data when applies  
the OSM scheme, is not suffered by ISI. Moreover, incoming bits are not only modulated  
by conventional modulation techniques, but also mapped to transmitters‟ indexes.  
Fig 6. Diagram of the operation of Optical Spatial Modulation.  
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TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI  
The process of the OSM is simply described as following: A coming bit sequence is  
first separated into n-bit groups q(k). Each group q(k) is then split into two bit parts. The  
first part is conveyed by a conventional modulation scheme such as M-ary PAM [23]. The  
intensities Im of the M-ary PAM used for the OSM scheme are given by:  
2I  
Im   
m for m 0,1,...,M 1  
(7)  
M 1  
where I is the mean optical intensity emitted. Hence, a spectral efficiency achieved by  
M-ary PAM is log2(M) bit/s/Hz.  
Meanwhile, the other one is mapped to LEDs‟ indexes as illustrated in the case of the  
four transmitters MIMO model in Fig. 7. Thus, the bit group q(k) is now become the signal  
vector x(k) consisting of Nt elements. Therein xl having the intensity Im is at the position of  
the activating transmitter. The total data rate is increased by the contribution of mapping  
on LEDs‟ indexes which is log2(M) + log2(Nt) = log2(MNt) bit/s/Hz.  
Fig 7. Illustration of mapping binary data to transmitters’ indexes.  
At the receiver side, an optimal SM detector is utilized to estimate the signal vector  
 ̂(k) from the electronic signal converted from the received optical signal by Photodiodes  
(PDs) [28]. The estimation is relied on the Maximum-Likelihood (ML) principle which  
decides the estimated signal vector  ̂ by minimizing the Euclidean distance between the  
actual received signal y and all potential received signals:  
2
ˆ
(8)  
x argmax py (y x,H) argmin y Hx  
F
x
x
where py is the probability density distribution of the received signal y conditioned on  
the transmitted signal x and the channel matrix H. It is clearly seen that OSM do not only  
achieve higher data rate over conventional modulations and mitigate ISI, but also it  
addresses the power efficiency by the requirement of activating only one transmitter at  
instant time compared to other MIMO models. Comparison to OOK modulation, OSM  
achieves Bit Error Rate (BER) slightly better. Another factor is also considered is  
computational complexity at the receiver. OSM requires fewer mathematical operations  
than Repetition Coding (RC) in order to detect transmitted data [18]. It takes only 3MNr  
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operations, while             is the operations required by RC. By using the  
 
 
transmitters‟ indexes for data modulation, however, Bit Error Rate (BER) of OSM is  
affected by coherence among transmitters (LEDs). It means that the distances between  
LEDs must be sufficiently far in order to guarantee estimating exactly what LED is used to  
transmit data at instant time. Beside, OSM offers only a logarithmic increase of the data  
rate with the number of transmitters. This might limit OSM to be implemented for practical  
number of LEDs using for illumination in any room. The last disadvantage of OSM is  
channel knowledge which must be well known for data detection, it might lead complexity  
constraints on the channel estimation unit [29]. From the perspective of increasing spectral  
efficiency, Generalized Spatial Modulation (GSM) in VLC is also proposed in [30].  
Instead of fixing the number of transmitter as an exponential of two, GSM is a generalized  
form of SM which actives Na (0 < Na < Nt) transmitters simultaneously at any time. Hence,  
the data rate of GSM is increased as following:  
2   
Nt  
GSM log  
N log M   
(9)  
a
2
Na  
Another application of SM is proposed in [31] to obtain positive and real-valued  
signals for OFDM in VLC. The proposed method solves the DC-bias problem in DCO-  
OFDM and get a higher spectral efficiency than ACO-OFDM [31] called NDC-OFDM.  
The authors added a SM mapper behind the IFFT block to separate positive and negative  
value OFDM signals into two LED transmitters. In other words, the sign of the OFDM  
symbols is represented by the index of the corresponding LED.  
Hadamard Coded Modulation  
OFDM is represented as a high-dimensional modulation technique for high data-rate  
transmission that has been widely adapted to many modern broadband communications  
and standards, however, suffer source, channel and amplifier nonlinearities due to its high  
peak-to-average ratio (PAPR) [24]. OFDM signals with large peaks are then clipped by the  
peak optical power constraint of the optical sources. In VLC systems, due to high average  
optical powers are required for illumination, some symbols of OFDM might suffer for  
signal clipping [25]. Mohammad Noshad, et al. are introduced an alternative modulation  
technique to OFDM called Hadamard Code Modulation (HCM) which uses the fast Walsh-  
Hadamard transform (FWHT) to modulate data. The proposed modulation scheme uses  
binary Hadamard matrixes to encode the input data stream, which has the same complexity  
as the FFT in OFDM, Nlog2 N, where N is the size of the Hadamard matrix. HCM achieves  
a same BER compared to OFDM, while can provide brighter illumination levels for VLC  
systems because of its low PAPR.  
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TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI  
Fig. 8. Block diagram of the HCM transmitter using FWHT  
A Hadamard matrix of order N which is modified by replacing 0 for -1 elements in the  
original {-1, 1} Hadamard matrix [32], is denoted by HN. The transmitted vector x is  
obtained from the input data vector as shown below:  
1
(10)  
x   
uH (1u)H  
N   
N
N
where  
is the complement of HN . The components of the signal vector u are  
HN  
assumed being modulated signal by a M-ary Pulse Amplitude Modulation (PAM), where  
 
 
    {   
 
 
      }                     . The equation (10) is then rewritten as  
        
following:  
1
N
x u  
H H  
0,1,1,...,1  
(8)  
N   
N
2
N
Only N-1 rows of the matrix HN which have a weight of N/2, are used to modulate  
data, while the first row of the Hadamard matrix which all values are one, is ignored.  
Hence the first row is set to zero and the rate of M-PAM HCM is               . The  
 
interference of the Hadamard codewords on each other due to the fixed cross correlation  
between these remaining N − 1 rows can be removed at the receiver side [33]. The received  
signal is given by:  
y hx n  
(11)  
where n is assumed an additive white Gaussian noise (AWGN) and h is the discrete  
time equivalent impulse response of the channel which h = {h(k)}. The vector y is then  
demodulated to the vector v by an inverse FWHT (IFWHT) as shown in Fig. 9:  
1
v  
yHT yHT  
N   
(12)  
N
N
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Fig. 9. Block diagram of the HCM receiver using IFWHT  
For an ideal non-dispersive channel with impulse response as defined in [24]:  
1
k 0  
k 0  
h k   
   
(13)  
0
The decoded data can be rewritten as following:  
1
v u N 1,1,1,....,1 n  
(14)  
2
1
n
HT HT  
is a 1 × N noise vector with independent components. The  
where  
N   
N
N
BER of M-PAM HCM for non-dispersive AWGN channels can be calculated from (34):  
P2  
M 1  
3
N
BERHCM  
Q
(15)  
2 c2lip  
M 2 1  
M log2 M  
N
N2  
where γ represents the penalty in SNR due to the pulse shaping,  
is the variance of  
2
the additive Gaussian noise at the receiver and  
is the variance of the clipping noise.  
clip  
The author is also introduced an improved version of HCM which reduces the DC bias  
without losing information. A DC bias value bDC is added to the transmitted signal, then  
the decoded vector becomes:  
(16)  
v NbDC ,0,...,0 un
It is clearly shown that the DC bias is only added to the first component of the  
transmitted signal and has no effect on the rest of the data. The BER comparison between  
ACO-OFDM using 16-QAM to modulate 128 subcarriers and HCM signals are generated  
by an FWHT size N = 128 are realised in [17]-[18]. As a result, HCM achieves lower BER  
2
n  
n2  
for average optical powers higher than 18 dBm and 20.3 dBm for  
= −30 dBm and  
=
−20 dBm, respectively. Both HCM and DCR-HCM shows the capability to gain a lower  
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TRƯỜNG ĐẠI HỌC THỦ ĐÔ HÀ NỘI  
achievable BER for all spectral efficiencies tested when are compared to ACO-OFDM and  
DCO-OFDM [25].  
4. CONCLUSION  
Li-Fi with great applications makes itself to become a potential candidate for the  
architecture of the 5G network. The hottest topic attracted the most researches on it is data  
modulation. The three primary keys for modulation techniques considered in Li-Fi are the  
complexity, spectral and power efficiency. Through the paper, all available modulation  
schemes for Li-Fi are represented and compared the benefits and also shortages of each  
technique relied on these factors.  
5. ACKNOWLEGMENT  
I am very much grateful for the help of Department of Information Technology –  
Hanoi Metropolitan University and members which fully support me to implement this  
research.  
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NGHIÊN CỨU CÁC KỸ THUẬT ĐIỀU CHẾ CHO KÊNH ĐƯỜNG XUỐNG  
TRONG MẠNG LI-FI  
Tóm tắt: Light-Fidelity (Li-Fi) được xem như một mô hình mạng không dây quang hoàn  
chỉnh với khả năng truyền song công. Li-Fi là một trường hợp riêng của mạng truyền  
thông sử dụng ánh sáng nhìn thấy (VLC) sử dụng ánh sáng nhìn thấy để điều chế tín hiệu  
di động. Nó đạt được rất nhiều lợi ích trong môi trường truyền thông trong nhà. Mục tiêu  
của bài báo là cung cấp kiến thức về các kỹ thuật điều chế có thể sử dụng cho kênh  
đường xuống trong mạng VLC, và mạng Li-Fi nói riêng. Các cơ chế điều chế này được  
phân loại và nhóm lại nhằm cung cấp một cái nhìn rõ ràng và xuyên suốt trong toàn bộ  
bài báo. Ngoài ra, các ưu điểm và hạn chế của các kỹ thuật điều chế trên cũng được đưa  
ra và so sánh với nhau.  
Từ khóa: Light-Fidelity (Li-Fi), Mạng truyền thông sử dụng ánh sáng nhìn thấy, Các kỹ  
thuật điều chế trong mạng quang không dây.  
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