human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "harmonizing 3gpp and nfv description models providing customized ran slices in 5g networks"
  Abstract: The standardization of radio access networks (RANs) in mobile networks has traditionally been led by the 3rd Generation Partnership Project (3GPP). However, the emergence of RAN slicing has introduced new aspects that fall outside the 3GPP scope. Among them, network virtualization enables the particularization of multiple behaviors over a common physical infrastructure. Using virtualized network functions (VNFs) that comprise customized radio functionalities, each virtualized RAN (i.e., RAN slice) could meet its specific requirements. Although the 3GPP specifies the description model to manage RAN slices, it can neither particularize the behavior of a RAN slice nor leverage the network function virtualization (NFV) descriptors to define how its VNFs can accommodate its spatial and temporal traffic demands. In this article, we propose a description model that harmonizes 3GPP and the European Telecommunication Standard Institute (ETSI)-NFV Group viewpoints to manage RAN slices. The proposed model enables the translation of RAN slice requirements into customized, virtualized radio functionalities defined through NFV descriptors. To clarify this proposal, we provide an example describing three RAN slices with disruptive requirements following our solution.

Connected through hyperedge HE-1 (induced by source paper "multicast embb and bursty urllc service multiplexing in a comp enabled ran"):
  with members:
    - "ran slicing for massive iot and bursty urllc service multiplexing analysis and optimization"
    - "embb urllc resource slicing a risk sensitive approach"
    - "resource allocation and harq optimization for urllc traffic in 5g wireless networks"
    - "5g wireless network slicing for embb urllc and mmtc a communication theoretic view"
    - "urllc embb slicing to support vr multimodal perceptions over wireless cellular systems"
    - "non orthogonal embb urllc radio access for cloud radio access networks with analog fronthauling"
    - "network slicing to enable scalability and flexibility in 5g mobile networks"
    - "sample approximation based deflation approaches for chance sinr constrained joint power and admission control"

Connected through hyperedge HE-2 (induced by source paper "sharing gnb components in ran slicing a perspective from 3gpp nfv standards"):
  with members:
    - "automated network service scaling in nfv concepts mechanisms and scaling workflow"
    - "network slicing for 5g with sdn nfv concepts architectures and challenges"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.NI(Networking and Internet Architecture)