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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Problems of implementing 5 G networks in transport systems</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Natalia Kononova</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Dmitry Vinokursky</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mihail Kononov</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Elena Krahotkina</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Federal State Autonomous Educational Institution of Higher Education North-Caucasus Federal University</institution>
          ,
          <addr-line>Stavropol, 355009</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <fpage>47</fpage>
      <lpage>51</lpage>
      <abstract>
        <p>This article provides an overview of the challenges to transport networks introduced by 5G and provides a first analysis of the key challenges to 5G transport in terms of capacity, flexibility and costs. Different use cases are discussed as well as technology options and control plane concepts. The three main transport challenges are identified: huge aggregated traffic volumes, on-demand provisioning of very high capacity in specific geographical locations, need for fast reconfigurability of the transport resources.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Wireless access</kwd>
        <kwd>transport systems</kwd>
        <kwd>virtualization</kwd>
        <kwd>5G generation networks</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>In the coming era of the massive 5G Internet of
Things (mloT), we are expected to have 1000
devices connected to each person, and these
devices will be components of the «5G operating
system» for our smart cities, smart homes, smart
transportation, smart healthcare, and more.</p>
      <p>5G networks are expected to serve about 7
trillion diverse connected sites. Compared to the
previous generation of mobile communications, the
5G infrastructure we are building now should reach
luggage, people decided to apply them in practice
this scale while still delivering the following
metrics:
- 1000 times faster wireless zone throughput
and more versatile service options;</p>
      <p>
        - сreation of a secure, reliable Internet with
"zero perceived" downtime for the provision of
services;
- 100 times higher user data transfer rate;
- 10x the battery life for massive IoT devices;
- 5 times decrease in end-to-end delay;
- Diverse requirements such as higher speeds
for enhanced mobile broadband (eMBB),
ultrareliable and low-cost communications (URLLC),
and higher density and long battery life for
machine-type mass communications (mMTC) [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ].
      </p>
      <p>Based on the challenges for wireless access the
main transport challenges are defined. Possible
solutions addressing these challenges are also
presented and discussed. We find that the transport
infrastructure for future 5G deployment needs to
both accommodate high traffic volumes over
specific geographical areas and provide transport
resources in a flexible manner. This quality will be
indispensable for operational purposes but also to
limit as much as possible deployment costs without
compromising the quality of experience of the
various provisioned services.</p>
      <p>In order to understand the 5G transport
challenges one must understand how 5G may
evolve the radio access segment. Among the
various initiatives that are looking into 5G, the EU
project METIS defines 5G in terms of scenarios
which the next generation wireless access networks
will have to support. A total of five future scenarios
have been defined, namely amazingly fast, great
service in a crowd, ubiquitous things
communicating, super real time and reliable
connections, and best experience follows you. Each
of these scenarios introduces a challenge. Three of
these challenges are more traditional in the sense
that they are related to continued enhancement of
user experience and supporting increasing traffic
volumes and mobility. Two emerging challenges,
very low latency and very low energy, cost and
massive number of devices, are associated with the
application of wireless communications to new
areas. Future applications may be associated with
one or several of these scenarios imposing different
challenges to the network. In METIS twelve
specific test cases were defined and mapped onto
the five scenarios. The selected test cases
essentially sample the space of future applications.
Once technical enablers that fulfill the
requirements for these test cases are defined, it is
expected that other applications subject to the same
fundamental challenges, will successfully be
supported. As a consequence, defining technical
enablers for the 5G test cases means also defining
technical solutions to the 5G challenges.</p>
      <p>
        Today, 4G offers consumer data rates in megabytes
order, latency in milliseconds order and device
density for approximately 2000 connected devices
per square kilometre worldwide, which has
supported the introduction of Internet of Things
(IoT). Despite such capabilities and due to an
exponential increase of the demand and the new
mobile telecommunication innovations, 4G would
be replaced with the next generation (5G) by the
start of the next decade, as stated in [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
      </p>
      <p>
        The 5G era will bring network and service
capabilities not previously available. It will ensure
continuity, higher data rate, lower latency, massive
simultaneous connections and ubiquity of network
across the world even in challenging situations for
current 4G such as high mobility and in very dense
or sparsely populated areas. In addition, 5G will be
a key enabler for a real IoT, providing a platform
to connect a massive number of sensors and
actuators with stringent energy efficiency and
transmission constraints [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>
        A 5G transport network can be divided in two
different segments, i.e., small cell transport and
metro (aggregation). The small cell transport
segment aggregates the traffic to (from the wireless
small cells towards the metro) aggregation
segment. Different solutions in terms of technology
(optics, wireless) and topology (tree, ring, mesh)
are possible [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] depending on the specific wireless
access scenario. The metro (aggregation) segment,
on the other hand, connects different site types
(macro and/or small cells) among themselves and
to the core network, the latter via the service edge
(service node for the interconnection among
different network domains). For the metro
(aggregation) segment one promising solution is
represented by a dense-wavelength-division
multiplexing (DWDM) - centric network [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. In
such a network, packet aggregation takes place at
the edges of the network (at the small/macro cells
sites and at the service edge), while at the center
(between access and metro rings) switching is done
completely in the optical domain thanks to active
optical elements such as wavelength selective
switches (WSSs) and reconfigurable optical
adddrop multiplexers (ROADMs) [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. It has already
been demonstrated that DWDM-centric solutions
have the potential to offer high capacity (in the
order of tens to hundreds of Gbps) and lower
energy consumption than their packet-centric
counterparts (with packet aggregation at the center
of the network) [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. For this reason the
DWDMcentric metro/aggregation concept may represent a
good candidate for future 5G transport networks.
For the dedicated small cell transport segment it is
not possible to define a single best candidate
technology because of the variety of the small cell
deployments which are test-case dependent. The
main options can be categorized in copper, fiber
and wireless-based technologies [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. Wireless
based solutions are attractive where cost of
deploying wired transport infrastructure is
prohibitively high. Copper-based options are able
to offer rates in the order of a few Gbps over
relatively short distances and therefore can be
preferred in the areas where there is a large
installed base of copper that can be reused. Optical
transmission technologies are able to provide high
data rates over long distances in an energy-efficient
way. Fiber-based solutions are seen as a good and
long term candidate for 5G small cells transport
networks [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]. The table is organized in terms of:
transport services that can be supported and
technology maturity.
The graph shown in Figure 1 shows that the
transport solutions used in modern networks, in
terms of their throughput, correspond to the level
of development of transmission technologies at the
end of the 80s. last century.
      </p>
      <p>For some test cases, like the open air festival,
optical based small cell transport may not be
preferable, due to high deployment costs. In these
cases, wireless-based solutions may represent a
better alternative, mainly because they are usually
easier, faster, and cheaper to deploy. Modern
wireless transport technologies are able to provide
very high capacities over short and medium
distances, thanks to the introduction of new
transmission paradigms, such as MIMO, and the
opening of new spectrum ranges.</p>
      <p>
        The use of dynamic resource sharing and NFV
puts requirements on the control plane. A
softwaredefined networking (SDN) [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ] based control plane
with programmable control of network resources
and end-to-end orchestration could provide a
framework for such a scenario. It could enable
dynamic optimization of the use of transport
network resources and provide a framework for
interaction with other controllers [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ]. On the other
hand, the design and implementation of such a
complex control plane introduces several
challenges. A main challenge is the definition of an
orchestration entity able to keep track of the
availability of different type of resources and
perform end-to-end optimization. A centralized
orchestration entity leads also to scalability issues,
which could be addressed through the adoption of
a multilayer control architecture and resources
abstraction models. Different multi-layer
SDNbased control architectures are possible depending
on how the controllers of different segments are
expected to interact. The dedicated small cells
transport controller manages the resources in the
dedicated small cells transport network and
provides the overall transport controller with an
abstract and simplified view of this network
segment. The overall transport controller is in
charge of managing all the transport resources and
providing connectivity services to the other
controllers. The controllers interact via the
orchestrator, which possesses an abstract and
simplified view of all the resources and performs
end-to-end provisioning and optimization.
Long-term economic prospects show that
prosperity among urbanites will also grow, and
therefore the demand for public and individual
transport will increase.
      </p>
      <p>Consequently, car ownership is likely to continue
its rapid rise. China alone gained an additional 17
million new cars in 2014, taking ownership to a
record 154 million. As an obvious consequence,
road traffic congestion can be expected to become
more intricate, further exacerbating already high
negative environmental, social and economic
impacts.</p>
      <p>Information and communications technology can
mitigate these impacts. Applications of information
and communications technology in the transport
sector, have led to the development of so-called
“intelligent transport systems” (ITS). ITS improve
traffic efficiency and safety, with positive
outcomes for sustainable development. Though
driven initially mostly by the more advanced
countries (United States, Japan, and some
European countries), ITS are increasingly being
used by developing countries, which are
confronted with urgent needs to improve traffic in
rapidly growing cities. ITS are also becoming
increasingly tailored to the specific needs of
developing countries, and recent evolutions in
information and communications technology such
as the analytical power offered by open and big
data further raise the prospects for ITS to be
designed within developing countries in response
to their specific needs.</p>
      <p>Even though 5G technologies have not yet hit the
market, there is a great expectation of all the
possible applications that will arise thanks to their
qualities, in many cases improving the services
presented by the previous networks but in other
cases bringing new and more innovative services
never seen before.</p>
      <p>The emerging concepts of the Internet of Things,
Smart Cities, and Intelligent Transportation
Systems are three of the main paradigms that will
be promoted with the appearance of 5G
technologies. At the moment it has been possible to
reach a basic level of services based on IoT due to
the limitations of 4G technologies, but thanks to the
possibilities of network availability anywhere, at
any time with a higher data rate, we could finally
have a real connectivity among a dense population
of mobile devices.</p>
      <p>The particular case of Intelligent Transport where
vehicles are seen as intelligent mobile devices
capable of connecting to the network to share
information of their environment is a topic with a
great impact within the intelligent planning of
resources into a Smart City. In fact, for
governments and modern economic development
in general is vital to improve the transportation
management system and promoting sustainability.
The optimization of the transportation system will
result in a reduction of the environmental impact
and energy saving, as well as time and money.
Despite all the great advantages that show the
coming of the 5G era and of the IoT, there are still
problems to face in the technological field. There
are also social and ethical problems related to the
inclusion of new services that will not be easy for
the population to assimilate, as it is the case of
selfdriving vehicles inside the city and possible undue
access to personal information of the users due to
the fact that all our data will be shared in the cloud.
Such problems are related to security, but seen
from the side of avoiding fatal accidents in one case
and in the other hand seen as protection of private
information.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Conclusion</title>
      <p>This article provides an overview of the challenges
to transport networks introduced by 5G and
provides a first analysis of the key challenges to 5G
transport in terms of capacity, flexibility and costs.
Different use cases are discussed as well as
technology options and control plane concepts. The
three main transport challenges are identified:
- huge aggregated traffic volumes,
- on-demand provisioning of very high capacity
in specific geographical locations,
- need for fast reconfigurability of the transport
resources.</p>
      <p>Two approaches for designing and dimensioning a
future 5G transport network have been considered.
One is based on over-provisioning of transport
resources while the second is based on dynamic
resource sharing and network function
virtualization (NFV) aided by a software defined
network (SDN)-based controller. These two
approaches have been compared in two specific 5G
test cases:
- virtual reality (VR) office,
- open air festival.</p>
      <p>The analysis highlighted that the use of a common
DWDM centric access metro network combined
with a dedicated small cell transport can be an
efficient choice for the future 5G transport. In
addition, a SDN-based transport controller, able to
efficiently perform dynamic resource sharing and
NFV, helps in achieving high resource utilization
and in reducing deployment costs. 5G mobile
communications is seen as the enabler for the
networked society where connectivity will be
available anywhere and anytime to anyone and
anything. The details of 5G are the subject to
ongoing research and debate, mostly focused on
understanding radio technologies that can enable
the 5G vision.</p>
      <p>Let's define a list of potential problems of the
transport network for 5G and label each of them as
serious, moderate, or minor (ranking in descending
order according to the percentage).
1. Major challenge:
- meeting ultra-low latency requirements – 57%
- costs of extending wireline connectivity to new
cell sites (densification)- 40%
- achieving RAN capacity requirements – 39%
- meeting timing and synchronization
requirements – 36%
- costs of upgrading existing RANs – 35%
- network automation – 31%
- implementing network slicing in the transport
network – 28%
- implementing cloud/virtualization of BBU
functions – 21%
- compatibility of new and legacy protocols (i.e.,</p>
      <p>MPLS/segment routing/EVPN) – 19%
2. Moderate challenge:
- meeting timing and synchronization
requirements – 51%
- network automation – 51%
- implementing network slicing in the ransport
network - 51%
- achieving RAN capacity requirements – 48%
- compatibility of new and legacy protocols (i.e.,</p>
      <p>MPLS/segment routing/EVPN) – 44%
- implementing cloud/virtualization of BBU
functions – 43%
- costs of extending wireline connectivity to new
cell sites (densification) – 37%
- costs of upgrading existing RANs – 37%
- meeting ultra-low latency requirements – 33%
3. Minor challenge:
- compatibility of new and legacy protocols (i.e.,
MPLS/segment routing/EVPN) – 32%
- implementing cloud/virtualization of BBU
functions – 29%
- costs of upgrading existing RANs – 23%
- costs of extending wireline connectivity to new
cell sites (densification) – 17%
- implementing network slicing in the transport
network – 16%
- meeting timing and synchronization
requirements – 14%
- network automation -13%
- achieving RAN capacity requirements – 11%
- meeting ultra-low latency requirements – 9%.
Meeting ultra-low latency requirements has
become a major challenge in the design of backhaul
networks for 5G, and by a wide margin. Low
latency needs can be met with dedicated
highspeed optics, but costs quickly undermine
economic viability. Packet technologies are more
bandwidth efficient and less expensive, but
guaranteeing latency is an issue. This is the
transport network dilemma.</p>
      <p>We note that 80 percent of backhaul delay is
dependent on fiber distance, so reducing the
distance between the core network and the user is
the best way to reduce latency. The latency of
devices in the transport network is important when
congestion occurs. Thus, the cross-section of the
network can be used to prevent overload and ensure
low latency.</p>
      <p>After low latency, expanding wired connections to
new cell sites and meeting RAN bandwidth
requirements came in second and third, cited as a
major issue by 40% and 39% of respondents,
respectively. These concerns are also consistent
with anecdotal evidence and are directly linked to
the cost issues associated with meeting
performance / capacity requirements without
disrupting the business model. Automation took
the bottom half of the list. However, it is unclear if
this is due to minimal automation issues or the fact
that automation is not particularly relevant in the
near future, since everything will focus primarily
on building infrastructure.</p>
    </sec>
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