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: "an overview on 3gpp device to device proximity services"
  Abstract: Device-to-device (D2D) communication will likely be added to LTE in 3GPP Release 12. In principle, exploiting direct communication between nearby mobile devices will improve spectrum utilization, overall throughput, and energy consumption, while enabling new peer-to-peer and location-based applications and services. D2D-enabled LTE devices can also become competitive for fallback public safety networks, that must function when cellular networks are not available, or fail. Introducing D2D poses many challenges and risks to the long-standing cellular architecture, which is centered around the base station. We provide an overview on D2D standardization activities in 3GPP, identify outstanding technical challenges, draw lessons from initial evaluation studies, and summarize "best practices" in the design of a D2D-enabled air interface for LTE-based cellular networks.

Connected through hyperedge HE-1 (induced by source paper "groups net group meetings aware routing in multi hop d2d networks"):
  with members:
    - "group mobility detection tracking and characterization"
    - "a survey on device to device communication in cellular networks"
    - "on the dynamics of human proximity for data diffusion in ad hoc networks"
    - "estimating network parameters for selecting community detection algorithms"
    - "swim a simple model to generate small mobile worlds"

Connected through hyperedge HE-2 (induced by source paper "spectrum sharing for device to device communication in cellular networks"):
  with members:
    - "modeling analysis and optimization of multicast device to device transmissions"
    - "modeling analysis and design for carrier aggregation in heterogeneous cellular networks"
    - "resource optimization in device to device cellular systems using time frequency hopping"
    - "spectrum sharing scheme between cellular users and ad hoc device to device users"
    - "analytical modeling of uplink cellular networks"
    - "towards understanding the fundamentals of mobility in cellular networks"
    - "transmission capacity of wireless networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "multiple access channels with combined cooperation and partial cribbing"):
  with members:
    - "the finite state mac with cooperative encoders and delayed csi"
    - "successive refinement with decoder cooperation and its channel coding duals"
    - "mac with action dependent state information at one encoder"
    - "the state dependent multiple access channel with states available at a cribbing encoder"
    - "the gaussian mac with conferencing encoders"
    - "two way source coding with a helper"
    - "duality between channel capacity and rate distortion with two sided state information"

Connected through hyperedge HE-4 (induced by source paper "distributed sir aware opportunistic access control for d2d underlaid cellular networks"):
  with members:
    - "a survey on device to device communication in cellular networks"
    - "power control for d2d underlaid cellular networks modeling algorithms and analysis"
    - "the effect of fading channel inversion and threshold scheduling on ad hoc networks"

Connected through hyperedge HE-5 (induced by source paper "modeling multi mode d2d communications in lte"):
  with members:
    - "a survey on device to device communication in cellular networks"

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)