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 virtual resource allocation in small cell networks with full duplex self backhauls and virtualization"
  Abstract: Wireless network virtualization has attracted great attentions from both academia and industry. Another emerging technology for next generation wireless networks is in-band full duplex (FD) communications. Due to its promising performance, FD communication has been considered as an effective way to achieve self-backhauls for small cells. In this paper, we introduce wireless virtualization into small cell networks, and propose a virtualized small cell network architecture with FD self-backhauls. We formulate the virtual resource allocation problem in virtualized small cell networks with FD self-backhauls as an optimization problem. Since the formulated problem is a mixed combinatorial and non-convex optimization problem, its computational complexity is high. Moreover, the centralized scheme may suffer from signaling overhead, outdated dynamics information, and scalability issues. To solve it efficiently, we divide the original problem into two subproblems. For the first subproblem, we transfer it to a convex optimization problem, and then solve it by an efficient alternating direction method of multipliers (ADMM)-based distributed algorithm. The second subproblem is a convex problem, which can be solved by each infrastructure provider. Extensive simulations are conducted with different system configurations to show the effectiveness of the proposed scheme.

Connected through hyperedge HE-1 (induced by source paper "defining and surveying wireless link virtualization and wireless network virtualization"):
  with members:
    - "survey on network virtualization hypervisors for software defined networking"
    - "network function virtualization state of the art and research challenges"
    - "a prioritised traffic embedding mechanism enabling a public safety virtual operator"
    - "virtualization of 5g cellular networks as a hierarchical combinatorial auction"
    - "abstraction representation theory for heterotic physical computing"
    - "software defined and virtualized future mobile and wireless networks a survey"
    - "software defined networking a comprehensive survey"
    - "when does a physical system compute"

Connected through hyperedge HE-2 (induced by source paper "joint spectrum reservation and on demand request for mobile virtual network operators"):
  with members:
    - "introduction to online convex optimization"
    - "from network sharing to multi tenancy the 5g network slice broker"
    - "wireless communications in the era of big data"
    - "virtualization of 5g cellular networks as a hierarchical combinatorial auction"

Connected through hyperedge HE-3 (induced by source paper "machine to machine m2m communications in virtualized cellular networks with mec"):
  with members:
    - "decentralized computation offloading game for mobile cloud computing"
    - "optimizing data aggregation for uplink machine to machine communication networks"

Connected through hyperedge HE-4 (induced by source paper "d3 2 speed 5g enhanced functional and system architecture scenarios and performance evaluation metrics"):
  with members:
    - "virtualization of 5g cellular networks as a hierarchical combinatorial auction"

Connected through hyperedge HE-5 (induced by source paper "machine to machine m2m communications in software defined and virtualized cellular networks"):
  with members:
    - "next generation m2m cellular networks challenges and practical considerations"
    - "reliable reporting for massive m2m communications with periodic resource pooling"
    - "fundamentals of throughput maximization with random arrivals for m2m communications"

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)