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: "virtualization of 5g cellular networks as a hierarchical combinatorial auction"
  Abstract: Virtualization has been seen as one of the main evolution trends in the forthcoming fifth generation (5G) cellular networks which enables the decoupling of infrastructure from the services it provides. In this case, the roles of infrastructure providers (InPs) and mobile virtual network operators (MVNOs) can be logically separated and the resources (e.g., subchannels, power, and antennas) of a base station owned by an InP can be transparently shared by multiple MVNOs, while each MVNO virtually owns the entire BS. Naturally, the issue of resource allocation arises. In particular, the InP is required to abstract the physical resources into isolated slices for each MVNO who then allocates the resources within the slice to its subscribed users. In this paper, we aim to address this two-level hierarchical resource allocation problem while satisfying the requirements of efficient resource allocation, strict inter-slice isolation, and the ability of intra-slice customization. To this end, we design a hierarchical combinatorial auction mechanism, based on which a truthful and sub-efficient resource allocation framework is provided. Specifically, winner determination problems (WDPs) are formulated for the InP and MVNOs, and computationally tractable algorithms are proposed to solve these WDPs. Also, pricing schemes are designed to ensure incentive compatibility. The designed mechanism can achieve social efficiency in each level even if each party involved acts selfishly. Numerical results show the effectiveness of the proposed scheme.

Connected through hyperedge HE-1 (induced by source paper "iris deep reinforcement learning driven shared spectrum access architecture for indoor neutral host small cells"):
  with members:
    - "deepmind control suite"
    - "on spectrum sharing among micro operators in 5g"
    - "shared spectrum access communications a neutral host micro operator approach"
    - "multi agent actor critic for mixed cooperative competitive environments"
    - "deep reinforcement learning for robotic manipulation with asynchronous off policy updates"
    - "resource allocation in shared spectrum access communications for operators with diverse service requirements"
    - "benchmarking deep reinforcement learning for continuous control"
    - "high dimensional continuous control using generalized advantage estimation"

Connected through hyperedge HE-2 (induced by source paper "efficient network sharing with asymmetric constraint information"):
  with members:
    - "hybrid pricing for mobile collaborative internet access"
    - "distributed mechanism design with learning guarantees"
    - "efficient and fair collaborative mobile internet access"
    - "from network sharing to multi tenancy the 5g network slice broker"
    - "a general mechanism design methodology for social utility maximization with linear constraints"
    - "an alternating direction method approach to cloud traffic management"

Connected through hyperedge HE-3 (induced by source paper "wireless network slicing generalized kelly mechanism based resource allocation"):
  with members:
    - "common throughput maximization in uav enabled ofdma systems with delay consideration"
    - "network slicing for 5g with sdn nfv concepts architectures and challenges"
    - "applications of economic and pricing models for wireless network security a survey"
    - "a dynamic embedding algorithm for wireless network virtualization"
    - "composable and efficient mechanisms"
    - "computationally feasible vcg mechanisms"

Connected through hyperedge HE-4 (induced by source paper "edge caching in delay constrained virtualized cellular networks analysis and market"):
  with members:
    - "inter operator infrastructure sharing trade offs and market"
    - "infrastructure sharing for mobile network operators analysis of trade offs and market"
    - "pricing and resource allocation via game theory for a small cell video caching system"
    - "caching incentive design in wireless d2d networks a stackelberg game approach"
    - "a stackelberg game for incentive proactive caching mechanisms in wireless networks"
    - "integral approximations for coverage probability"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-5 (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"

Connected through hyperedge HE-6 (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"
    - "distributed virtual resource allocation in small cell networks with full duplex self backhauls and virtualization"
    - "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-7 (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"
    - "distributed virtual resource allocation in small cell networks with full duplex self backhauls and virtualization"

Connected through hyperedge HE-8 (induced by source paper "network slicing in fog radio access networks issues and challenges"):
  with members:
    - "recent advances in fog radio access networks performance analysis and radio resource allocation"
    - "fog computing based radio access networks issues 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.GT(Computer Science and Game Theory)