2. OPTICAL WIRELESS COMMUNICATION
– THE CONTEXT
Z Ghassemlooy, M-A Khalighi, S Zvanovec, N Stevens, L N Alves, and A Shrestha
I. INTRODUCTION
Globally, the society that we are living in is changing
rapidly and becoming more data-centric, data-
dependent, and fully automated with the aim of
improving productivity and the quality of life. In a fully
automated and intelligent world the Internet of Things
(IoT) will play a critical role in connecting billions of
physical devices in the fabric of society (i.e., people,
machines, homes, offices, industry, cities,
environments, etc) to sense, collect and exchange data,
and improving interactions between devices across
various sectors, such as manufacturing, the connected
home, transportation, medical, and agriculture. The
widespread uptake of Industry 4.0 and the emerging
smart environments (cities, factories, offices, homes,
etc.) requires wireless IoT devices that can collect data
and transmit them to a central location via
telecommunication networks (particularly wireless
networks). Within this context, fifth and sixth generation
(5/6G) wireless networks are aiming to offer full
realization of the IoT paradigm with machine learning
capabilities for connecting not just people, but also
people-to-vehicles, people-to-devices, machine-to-
machine, sensors, wearables, cloud resources, robots,
etc. Therefore, in such challenging environments, there
is the need for radically new telecommunication
networks with key features of utilizing new spectrums,
disruptive technologies, machine learning, enabling
technologies, energy efficiency, sustainability, etc.
Enabling technologies and solutions include millimetre
wave (mmW) (mostly unregulated bands up to 90 GHz)
and terahertz (THz) bands; cell-free networks; cognitive
radio systems; massive multiple input and multiple
output (MIMO); three dimensions (3D) network
architectures; femtocells & offloading solutions; green
wireless technologies with energy harvesting features;
and optical wireless communication (OWC).
5G comprising of ultra-dense heterogeneous networks
mostly relies on revolutionary technologies such as
mmW, network function virtualization, software-
defined networking (SDN) and network slicing, as well
as MIMO, to make a significant improvement in the
transmission data rates (by × 1000), reliability, latency,
and connection density (by × 1000) compared to pre-5G
systems [2]. 5G is used in a wide range of applications,
which can be broadly categorized into three main service
classes of enhanced mobile broadband (bMBB) with
data rates exceeding 1 Gbps for mobile users, ultra-
reliable low-latency communications (URLLC) with
high reliability (99.999%) and low latency (around 1
ms), and massive machine-type communications
(mMTC) with a high number of connected devices
supported in IoT deployments (up to 106 devices per
km2).
The future 6G wireless networks should serve a range of
industrial applications, such as manufacturing,
healthcare, agriculture, art and culture, intelligent
transportation systems, etc., and therefore must meet
high requirements in terms of communication reliability
(≥ 99.999%), latency (≤ 1ms), scalability (1 Tbps/m2),
energy efficiency and consider the ecosystem too [2].
This will pose new challenges to the service providers in
upgrading the existing communication networks to
ensure compatibility and the quality of services at low
cost, which becomes highly demanding in urban areas,
where front- and back-haul access networks will
increase strain on the existing networks. In 6G and
beyond, the integration of radio and optical wireless
technologies in access networks (front- and back-haul
links) will be critical in providing the requirements,
particularly for bMBB, URLLC and mMTC services.
Regardless of the technology (5G or 6G) being adopted,
there are a few approaches to increase the capacity of
wireless networks including (i) release of new spectrums
and therefore more bandwidth, which is costly; (ii) using
more nodes, which can be done via cell splitting, which
is complex and costly. Note, that doubling the
infrastructure will not lead to doubling the revenue; and
(iii) improving the spectral efficiency, which has been
done continuously over the years, but is slowing down
in recent years.
Most existing wireless communication networks solely
rely on the use of conventional radio frequency (RF)-
based technology to convey information. However, the
RF technology is currently under pressure to meet the
ever-growing demand for the spectrum to cater to new
application areas such as massive MIMO, machine-type
smart communication for autonomous systems,
augmented reality, and virtual reality. Consequently, it
is imperative to investigate new materials, devices, and
front-end architectures for wireless connectivity, as well
as novel as well as revolutionary communication and
computing paradigms. The new potential candidate
technologies for 6G and beyond include reconfigurable
intelligent surfaces, i.e., artificial planar structures with
integrated electronic circuits, which can be programmed