Feasibility Evaluation of MIMO Based FSO Links
Sangeetha A, Nalini Sharma, and Ipsita Deb
Department of Electronics and Communication Engineering, VIT University, Vellore, Tamil Nadu, India
Email: asangeetha@vit.ac.in; nalini.sharma2014@vit.ac.in; ipsita.deb2014@vit.ac.in
Abstract —Free space optical communication (FSO) has
evolved as a substitute to radio frequency communication over
the few years. It gives a promising solution to the high-speed
point-to-point communication. However, atmospheric
absorption, scattering and turbulence cause considerable
degradation of the wireless optical communication, which
degrades system performance. Another major factor which
concerns the system performance is the attenuation of signals
due to the aforementioned atmospheric reasons. There are
different factors in which the atmospheric turbulence conditions
are observed using Gamma Gamma Model. Simulations have
been carried out in the OptiSystem 14.0 software to study the
impact of different weather conditions (clear, haze and fog) on
the performance of the channel. Simulation results show that by
implementing Multiple Input Multiple Output (MIMO)
techniques for FSO systems, it is possible to reduce the BER for
different range and achieve the accurate transmitted data at the
receiver side. The performance improvements vis-a-vis,
received power levels, bit error rate (BER), Q-factor and link
distance range have been demonstrated in the presence of
atmospheric turbulence conditions like haze, fog, clear sky etc.
Index Terms—Bit Error Rate, FSO, MIMO, OptiSystem 14.0,
Q-Factor, SISO.
I. INTRODUCTION
FSO communication is also known as optical wireless
communication (OWC). These days many technologies
are available such as coaxial cables, copper wires and
optical fibers. These advances have a few constraints, i.e.,
congested spectrum and range, low information rate,
security issues, costly authorization and high cost of
establishment and installment [1]. FSO is a technique that
transmits the data via the free space optical channel.
Transmission of visible and infrared (IR) beams through
the atmosphere is inferred from this channel. The motive
of FSO is to eliminate the time, effort and cost of
installing fiber optic cable, and it also retain the benefit of
high data rates (up to 1 GB/s or beyond) for transmission
of data, images, voice and video [1]. In this project, we
have noticed the bit error rates and eye diagrams for
different atmospheric conditions like haze, clear sky and
fog. The main challenges we faced while designing this
FSO model is to get optimal values which was achieved
by using different models like SISO, MIMO and observe
the results. Here we have used atmospheric turbulence
model to analyze different conditions which is mentioned
in this paper. For improvement in the system performance,
Manuscript received May 25, 2018; revised February 21, 2019.
Corresponding author email: asangeetha@vit.ac.in
doi:10.12720/jcm.14.3.187-193
scintillation must be mitigated. A reduction in the spatial
diversity and spatial coherence of the transmitted beam
can be accomplished by employing multiple receivers and
multiple transmitted beams. Lower scintillation at the
cost of lower power at the receiver and a bigger
divergence angle and is seen by the partially coherent
beams with diminished spatial coherence [4]. The use of
multiple light sources, allows the transmitter to produce a
number of spatially separated channels which can be used
to improve to improve spectral efficiency when coupled
with multiple receivers or channel characteristics [1].
This spatial diversity makes the receiver to be capable of
spatially separating multi-path components for the
channel reliability to be enhanced [2]. Therefore, in order
to handle the transmission under strong and weak
atmospheric turbulence, the concept of MIMO and SISO
must be constructed.
In this paper, we analyze Multiple Input Multiple
Output (MIMO) and Single Input Single Output (SISO)
FSO communication system with Non Return to Zero
(NRZ) and Avalanche Photodiode (APD) on the receiver
side which is then connected to the generator to analyze
the BER performance for different atmospheric
turbulences. The objective is to design MIMO and SISO
FSO link and simulate its performance. On increasing the
number of transmitters and receivers in the MIMO
system, the efficiency can be increased, which lowers the
BER value. The remaining part of the paper is organized
as follows. The mathematical model is presented in
Section II. The simulation and the observations are made
in Section III. Section IV includes discussion along with
concluded remarks.
II. THEORITCAL MODEL AND PROBLEM FORMULATION
A. Free Space Optical (FSO) System
FSO system consists of three main functional elements:
transmitter-receiver and atmospheric channel as shown in
the figure. At the transmitter, the data signal is modulated
by modulator with the help of intensity modulation and
the electrical signal is converted into an optical signal
using optical sources like LED or LASER. For data trans-
mission, light sources are used [2]. It propagates via free
space to the receiver and transmits data at high data rates
[3]. For optical communication, light sources adopted
must have the appropriate wavelength, line- width, high
modulation bandwidth and numerical aperture.
Communication medium or channel is either free space or
air or vacuum. Data transmits through this medium from
the transmitter to the receiver. There are some
Journal of Communications Vol. 14, No. 3, March 2019
©2019 Journal of Communications 187