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: "distributed resource allocation in d2d enabled multi tier cellular networks an auction approach"
  Abstract: Future wireless networks are expected to be highly heterogeneous with the co-existence of macrocells and small cells as well as provide support for device-to-device (D2D) communication. In such muti-tier heterogeneous systems centralized radio resource allocation and interference management schemes will not be scalable. In this work, we propose an auction-based distributed solution to allocate radio resources in a muti-tier heterogeneous network. We provide the bound of achievable data rate and show that the complexity of the proposed scheme is linear with number of transmitter nodes and the available resources. The signaling issues (e.g., information exchange over control channels) for the proposed distributed solution is also discussed. Numerical results show the effectiveness of proposed solution in comparison with a centralized resource allocation scheme.

Connected through hyperedge HE-1 (induced by source paper "beyond the vcg mechanism truthful reverse auctions for relay selection with high data rates high base station utility and low interference in d2d networks"):
  with members:
    - "network utility maximization based on incentive mechanism for truthful reporting of local information"
    - "economic analysis of crowdsourced wireless community networks"
    - "a survey on device to device communication in cellular networks"
    - "what will 5g be"

Connected through hyperedge HE-2 (induced by source paper "a cascaded channel power allocation for d2d underlaid cellular networks using matching theory"):
  with members:
    - "hybrid centralized distributed resource allocation for device to device communication underlaying cellular networks"
    - "a survey on device to device communication in cellular networks"
    - "distributed resource allocation in device to device enhanced cellular networks"
    - "matching theory for future wireless networks fundamentals and applications"
    - "peer effects and stability in matching markets"

Connected through hyperedge HE-3 (induced by source paper "applications of economic and pricing models for resource management in 5g wireless networks a survey"):
  with members:
    - "an auction approach to spectrum management in hetnets"
    - "user association in massive mimo hetnets"
    - "applications of economic and pricing models for wireless network security a survey"
    - "caching incentive design in wireless d2d networks a stackelberg game approach"
    - "breaking the economic barrier of caching in cellular networks incentives and contracts"
    - "distributed optimization of hierarchical small cell networks a gnep framework"
    - "spectrum and infrastructure sharing in millimeter wave cellular networks an economic perspective"
    - "caching as a service small cell caching mechanism design for service providers"

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)