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: "policy optimization for content push via energy harvesting small cells in heterogeneous networks"
  Abstract: Motivated by the rapid development of energy harvesting technology and content-aware communication in access networks, this paper considers the push mechanism design in small-cell base stations (SBSs) powered by renewable energy. A user request can be satisfied by either push or unicast from the SBS. If the SBS cannot handle the request, the user is blocked by the SBS and is served by the macro-cell BS (MBS) instead, which typically consumes more energy. We aim to minimize the ratio of user requests blocked by the SBS. With finite battery capacity, Markov decision process based problem is formulated, and the optimal policy is found by dynamic programming (DP). Two threshold-based policies are proposed: the push-only threshold-based (POTB) policy and the energy-efficient threshold-based (EETB) policy, and the closed-form blocking probabilities with infinite battery capacity are derived. Numerical results show that the proposed policies outperform the conventional non-push policy if the content popularity changes slowly or the content request generating rate is high, and can achieve the performance of the greedy optimal threshold-based (GOTB) policy. In addition, the performance gap between the threshold-based policies and the DP optimal policy is small when the energy arrival rate is low or the request generating rate is high.

Connected through hyperedge HE-1 (induced by source paper "air ground integrated vehicular network slicing with content pushing and caching"):
  with members:
    - "comp in the sky uav placement and movement optimization for multi user communications"
    - "cost effective cache deployment in mobile heterogeneous networks"
    - "self sustaining caching stations toward cost effective 5g enabled vehicular networks"
    - "software defined space air ground integrated vehicular networks challenges and solutions"
    - "designing and implementing future aerial communication networks"
    - "mobility aware caching for content centric wireless networks modeling and methodology"
    - "fso based vertical backhaul fronthaul framework for 5g wireless networks"
    - "the new frontier in ran heterogeneity multi tier drone cells"

Connected through hyperedge HE-2 (induced by source paper "cooperative edge caching in user centric clustered mobile networks"):
  with members:
    - "cost effective cache deployment in mobile heterogeneous networks"
    - "on optimal geographical caching in heterogeneous cellular networks"
    - "on the delay of geographical caching methods in two tiered heterogeneous networks"
    - "octopus a cooperative hierarchical caching strategy for cloud radio access networks"
    - "mobility aware caching for content centric wireless networks modeling and methodology"
    - "caching placement in stochastic wireless caching helper networks channel selection diversity via caching"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "joint caching routing and channel assignment for collaborative small cell cellular networks"

Connected through hyperedge HE-3 (induced by source paper "joint pushing and caching for bandwidth utilization maximization in wireless networks"):
  with members:
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "wireless caching technical misconceptions and business barriers"
    - "wireless content caching for small cell and d2d networks"
    - "analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks"
    - "analysis and optimization of caching and multicasting in large scale cache enabled wireless networks"
    - "multicast aware caching for small cell networks"
    - "cache enabled small cell networks modeling and tradeoffs"
    - "base station assisted device to device communications for high throughput wireless video 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.IT(Information Theory)