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: "mobility aware modeling and analysis of dense cellular networks with c plane u plane split architecture"
  Abstract: The unrelenting increase in the population of mobile users and their traffic demands drive cellular network operators to densify their network infrastructure. Network densification shrinks the footprint of base stations (BSs) and reduces the number of users associated with each BS, leading to an improved spatial frequency reuse and spectral efficiency, and thus, higher network capacity. However, the densification gain come at the expense of higher handover rates and network control overhead. Hence, users mobility can diminish or even nullifies the foreseen densification gain. In this context, splitting the control plane (C-plane) and user plane (U-plane) is proposed as a potential solution to harvest densification gain with reduced cost in terms of handover rate and network control overhead. In this article, we use stochastic geometry to develop a tractable mobility-aware model for a two-tier downlink cellular network with ultra-dense small cells and C-plane/U-plane split architecture. The developed model is then used to quantify the effect of mobility on the foreseen densification gain with and without C-plane/U-plane split. To this end, we shed light on the handover problem in dense cellular environments, show scenarios where the network fails to support certain mobility profiles, and obtain network design insights.

Connected through hyperedge HE-1 (induced by source paper "integrating uavs into existing wireless networks a stochastic geometry approach"):
  with members:
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "handover rate characterization in 3d ultra dense heterogeneous networks"
    - "a stochastic geometry model of backhaul and user coverage in urban uav networks"
    - "survey of important issues in uav communication networks"
    - "designing and implementing future aerial communication networks"
    - "handover management in 5g and beyond a topology aware skipping approach"
    - "please lower small cell antenna heights in 5g"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-2 (induced by source paper "handover management in 5g and beyond a topology aware skipping approach"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "fronthauling for 5g lte u ultra dense cloud small cell networks"
    - "handover management in dense cellular networks a stochastic geometry approach"
    - "cooperative handover management in dense cellular networks"
    - "self organization in disaster resilient heterogeneous small cell networks"
    - "cooperative interference mitigation and handover management for heterogeneous cloud small cell networks"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"
    - "handoff rate and coverage analysis in multi tier heterogeneous networks"

Connected through hyperedge HE-3 (induced by source paper "velocity aware handover management in two tier cellular networks"):
  with members:
    - "handover management in dense cellular networks a stochastic geometry approach"
    - "cooperative handover management in dense cellular networks"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"
    - "handoff rate and coverage analysis in multi tier heterogeneous networks"
    - "stochastic geometry modeling of cellular networks analysis simulation and experimental validation"
    - "towards understanding the fundamentals of mobility in cellular networks"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-4 (induced by source paper "cooperative handover management in dense cellular networks"):
  with members:
    - "handover management in dense cellular networks a stochastic geometry approach"
    - "stochastic geometry modeling of cellular networks analysis simulation and experimental validation"
    - "location aware cross tier coordinated multipoint transmission in two tier cellular networks"
    - "handover management in high dense femtocellular networks"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "a tractable approach to coverage and rate 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.IT(Information Theory)