Page 19 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 6 – Wireless communication systems in beyond 5G era
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 6




          and  the  core  network,  with  5G,  the  latency  switches  to   •  “[...] The appropriate psychological measures will be
          an end‐to‐end perspective.  As previously mentioned, the   dependent on the communication context. Objective
          5G network has a softwarized architecture thus, the net‐  psychological measures do not rely on the opinion of
          work functions can run on servers that belong not only    the user (e.g. task completion time measured in sec‐
          to operators’ computing hardware but also to data cen‐    onds, task accuracy measured in number of errors).
          tres in the Internet, which are networks themselves.  So,   Subjective psychological measures are based on the
          as a consequence, the evaluation of the KPI should be on   opinion of the user (e.g. perceived quality of medium,
          an end‐to‐end basis.  That is also the case of energy ef i‐  satisfaction with a service). [...]” [23].
          ciency.  Energy    iciency  “[...]  is    ined  as  the  number
                                                               Next, the second de inition states that the QoE is the “[...]
          of bits that can be transmitted per Joule of energy, where
                                                               overall acceptability of an application or service, as per‐
          the energy is computed over the whole network, including
                                                               ceived  subjectively  by  the  end‐user  [...]”  [23].  It  is  im‐
          potentially legacy cellular technologies, Radio access and
                                                               portant  to  notice  that  the  QoE  is  an  end‐to‐end  metric,
          Core networks, and data centres.  [...]”  [17].  Given this, it
                                                               which can also be affected by users’ expectations and con‐
          appears clear that the virtualisation of the RAN can maybe
                                                               text.  According  to  the  above    initions  and  considera‐
          improve its energy ef iciency but, on the other hand, it can
          also reduce it within the core network or the data centres.  tions, 5G clearly arises more dif iculties in the evaluation
                                                               of communication performances.  This is not only due to
                                                               its end‐to‐end communication perspective and its hetero‐
          Next to KPI, another important metric of communication
                                                               geneity (as an ecosystem of heterogeneous network ar‐
          networks  is  quality.  In  particular,  there  can  be  three
          possible  metrics  to  measure  ’quality’:  QoS,  Quality‐of‐  chitectures, communications, and services), but it is also
          Perception (QoP) (or user‐perceived QoS), and Quality‐of‐  due to the prominent and wide role of subjective metrics,
          Experience (QoE). Network QoS is the “[...] degree of con‐  which  had  very  narrow  and  limited  impact  in  previous
                                                               generation networks and in the Internet.
          formance of the service delivered to a user by a provider
          with an agreement between them [...]” [23]. Next, the QoS
          is the “[...]  totality of characteristics of a telecommunica‐  3.2  5G architectural characteristics
          tions service that bear on its ability to satisfy stated and
                                                               5G  has  been  the    irst  communication  network  trying
          implied needs of the user of the service [...]”  [23].  The
                                                               to  inherently  incorporate  the  network  virtualisation
          QoS relies on technical metrics so it is technology‐centred.   paradigms, together with cloud computing. Moreover, 5G
          The QoP “[...]  is primarily concerned with the detectabil‐
                                                               started combining SDN and NFV, following the guidelines
          ity of a change in quality or the acceptability of a quality
                                                               of the ETSI MANO SDN‐NFV architecture (see Fig. 3).  In
          level.  [...]”  [23].  As an example, the use of Mean Opinion   parallel, the concept of SDR was also included within 5G in
          Score (MOS) measures the ’perception of quality’ accord‐
                                                               order to have an end‐to‐end softwarized/virtual network,
          ing to a subjective rating.
                                                               making  the  radio  access  technologies  more    lexible  and
                                                               r  igurable.  In  this  end‐to‐end  virtual  network  con‐
          The target of 5G has also been the support for verticals, in
                                                               text,  the virtual network functions have become service
          which users are immersed as ’protagonists’ (e.g.  Tactile
          Internet, Augmented/Virtual Reality, etc.)  [24].  This ’im‐  functions, which process ingoing information at the vari‐
          mersion’ of human end users in the communication ser‐  ous layers of the protocol stack.  Next,  service functions
                                                               can  be  dynamically  ordered  into    ic  logical  chains,
          vices has made the QoS an incomplete metric. Because of
                                                               according to the network tasks that have to be performed
          that, the concept of QoE appeared, which can be de ined
                                                               on  communication  messages.  More  precisely,  a  Service
          as QoE, or user‐level or user‐assessed QoS. The QoE relies
          on end‐user behaviour/perception so, it is user‐centred.   Function  Chaining  (SFC)  is    ined  as  “[...]  an  ordered
          However, the QoE is a harder metric to quantify since it   set of abstract service functions and ordering constraints
          involves subjective evaluation.                      that  must  be  applied  to  packets  and/or  frames  and/or
                                                                lows selected as a result of classi ication. [...]” [25].
          In the literature, two de initions of QoE can be found. The
            irst  states  that  QoE  is  a  “[...]  measure  of  user  perfor‐  The combination of all these technologies, that have been
          mance based on both objective and subjective psychologi‐  mentioned, has enabled the adaptive‐optimal‐ lexible al‐
          cal measures of using an ICT service or product. [...]” [23].   location  of  resources,  but  also  the  possibility  for  their
          For this de inition, ETSI particularly mentions two notes:  logical  isolation.  This  has  opened  the  way  for  another
                                                               communication network paradigm called end‐to‐end net‐
            • “[...]  It takes into account technical parameters (e.g.   work  slicing  [1],  [26]–[29].  Network  slices  are  logical
             QoS) and usage context variables (e.g.  communica‐  and  ’isolated’  virtual  networks  that  can  be  instantiated
             tion  task)  and  measures  both  the  process  and  out‐  on a unique physical network infrastructure.  These vir‐
             comes of communication (e.g.  user effectiveness, ef‐   tual networks are generated by the allocation of subsets
              iciency, satisfaction and enjoyment). [...]” [23];  of available physical resources and by the set of policies
                                                               to identify the speci ic traf ic   lows,  that are going to be
                                                               hosted. In fact, slices can be created to manage and oper‐
                                                               ate multi‐tenant communication scenarios or to address





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