Page 165 - ITU Journal, Future and evolving technologies - Volume 1 (2020), Issue 1, Inaugural issue
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ITU Journal on Future and Evolving Technologies, Volume 1 (2020), Issue 1



                                   Methodology
                    Classification                   Stochastic Geometry  Simulation  Optimization  Other
                   h h h h h h h h h h h h h h h
                                 traffic load                                [40]         [67]
                                 SINR                     [54], [71]        [120]         [80]
                                 SINR      coverage       [71], [81]
                Network          probability
                Measures
                                 Throughput                                               [67]
                                 User rate                [81], [145]
                                 Sector overload                            [114]
                                 Packet drop proba-                         [114]
                                 bility
                                 Revenue                                     [75]
                Economic         CAPEX                                       [75]                   [106]
                Measures         OPEX                                        [75]
                                 Miscellaneous                               [75]       [67], [80]

                                           Table 2 – Performance evaluation classification


          off between satisfying the resource shares and improving  the fact that a conventional MVNO competes with its
          the overall (system) spectral efficiency when the agreed  MNO, while there is no such competition between an
          resource shares are violated in a controlled fashion. The  InP and its SPs/VOs/VNOs/MVNOs. In these lines,
          work in [53] considers a global scheduler taking deci-  some articles tend to “misuse” the term InP when they
          sions for clusters of BSs and therefore scheduling users of  consider the InP to provide services also to end users.
          multiple MNOs over a 3D time-frequency-space resource  Additionally an InP is also referred to as a Network
          grid. In [53] scheduling is performed with the objective  Service Provider (NSP). Moreover, the work in [91] en-
          of maximizing the overall system utility. The authors  visions three different types of stakeholders in line with
          in [34] propose a BS virtualization scheme which per-  the ones in the cloud computing domain, i.e., the InP
          forms scheduling in two levels, namely, among MNOs,  providing Infrastructure as a Service (IaaS), the MVNO
          and for each MNO, among its user flows. Hew et al. in  providing Network as a Service (NaaS) and the SP pro-
          [57] consider a network shared by multiple MNOs, each  viding Software as a Service (SaaS). For instance, in [89]
          of them serving both a set of end users and a set of  the authors address a scenario in which there are mul-
          MVNOs. In this context, the problem of resource allo-  tiple InPs, a single MVNO and multiple SPs where the
          cation is tackled in two steps: first, the resource sharing  MVNO acts as a reseller of resources from InPs to SPs.
          among MNOs, and then the resource sharing among the  It should also be noted that the terms slicing and slice
          users and the MVNOs of each MNO, where the resource  are also misused in some articles in non-5G contexts,
          sharing at each step is modeled as a bargaining problem.  in the sense that, such articles do not consider problem
          The study in [69] suggests an algorithm that fairly allo-  instances that account for 5G service requirements.
          cates the shared radio resources among MNOs. In [105]
          the authors propose Remote Radio Head (RRH) assign-  There is a large body of literature on resource man-
          ment algorithms for an SDN-based Cloud Radio Access  agements concerning InPs and SPs in the context of
          Network (C-RAN) shared by multiple MNOs.             WNV. The vast majority of articles in this litera-
                                                               ture considers a single InP and multiple SPs (see e.g.,
          Concerning WNV, the problem of resource management   [7,8,17,31,42,50,58,59,62,63,68,73,76,79,97,123,130,
          is crucial in the interaction between an InP and its SPs.  132,133,136,138,146,151,154,155]). However, there are
          In the context of this paper, an InP is an entity which  exceptions: e.g., the work in [32] considers a single InP
          is responsible for the infrastructure deployment, man-  and a single VNO which serves multiple users through
          agement and operation and does not serve end users   an SDN-based virtualized network provided by the InP.
          directly whereas an SP is an entity which does not have  The VNO faces the problem of scheduling its users, each
          any resources of its own but purchases or rents resources  characterized by a maximum delay over a finite time
          from an InP to provision services for its end users. It is  period, through resources rented by the InP with the
          worth noticing that the terminology concerning the SP  objective of minimizing the payments made to the InP
          varies across different articles: such an entity is also re-  for the rented resources. There are also articles which
          ferred to as a Virtual Operator (VO), a Virtual Network  consider both multiple InPs and multiple SPs (and few
          Operator (VNO) or a Mobile Virtual Network Operator  other variations with multiple InPs) which however are
          (MVNO). Also notice that the conventional MVNO ob-   more pertinent to Section 3.5 hence discussed therein.
          tains resources from an MNO which serves end users
          of its own, unlike the InP. The key difference lies in  As for the literature on a single InP and multiple SPs,





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