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: "towards understanding the fundamentals of mobility in cellular networks"
  Abstract: Despite the central role of mobility in wireless networks, analytical study on its impact on network performance is notoriously difficult. This paper aims to address this gap by proposing a random waypoint (RWP) mobility model defined on the entire plane and applying it to analyze two key cellular network parameters: handover rate and sojourn time. We first analyze the stochastic properties of the proposed model and compare it to two other models: the classical RWP mobility model and a synthetic truncated Levy walk model which is constructed from real mobility trajectories. The comparison shows that the proposed RWP mobility model is more appropriate for the mobility simulation in emerging cellular networks, which have ever-smaller cells. Then we apply the proposed model to cellular networks under both deterministic (hexagonal) and random (Poisson) base station (BS) models. We present analytic expressions for both handover rate and sojourn time, which have the expected property that the handover rate is proportional to the square root of BS density. Compared to an actual BS distribution, we find that the Poisson-Voronoi model is about as accurate in terms of mobility evaluation as hexagonal model, though being more pessimistic in that it predicts a higher handover rate and lower sojourn time.

Connected through hyperedge HE-1 (induced by source paper "stochastic geometry analysis of sojourn time in multi tier cellular networks"):
  with members:
    - "handover management in 5g and beyond a topology aware skipping approach"
    - "handoff rate and coverage analysis in multi tier heterogeneous networks"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"

Connected through hyperedge HE-2 (induced by source paper "mobility in the sky performance and mobility analysis for cellular connected uavs"):
  with members:
    - "capacity and coverage enhancement using long endurance tethered airborne base stations"
    - "trajectory design for cellular connected uav under outage duration constraint"
    - "interference management for cellular connected uavs a deep reinforcement learning approach"
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "cellular connectivity for uavs network modeling performance analysis and design guidelines"
    - "on the 3 d placement of airborne base stations using tethered uavs"
    - "trajectory optimization for cellular connected uav under outage duration constraint"
    - "drones in distress a game theoretic countermeasure for protecting uavs against gps spoofing"

Connected through hyperedge HE-3 (induced by source paper "performance characterization of canonical mobility models in drone cellular networks"):
  with members:
    - "3gpp inspired stochastic geometry based mobility model for a drone cellular network"
    - "fundamentals of drone cellular network analysis under random waypoint mobility model"
    - "coverage and rate analysis for unmanned aerial vehicle base stations with los nlos propagation"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "fundamentals of modeling finite wireless networks using binomial point process"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"

Connected through hyperedge HE-4 (induced by source paper "mobility aware analysis of 5g and b5g cellular networks a tutorial"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "coverage and rate analysis for co existing rf vlc downlink cellular networks"
    - "handover management in 5g and beyond a topology aware skipping approach"
    - "analysis of massive mimo enabled downlink wireless backhauling for full duplex small cells"
    - "handoff rate and coverage analysis in multi tier heterogeneous networks"
    - "on feasibility of 5g grade dedicated rf charging technology for wireless powered wearables"
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"

Connected through hyperedge HE-5 (induced by source paper "handover rate characterization in 3d ultra dense heterogeneous networks"):
  with members:
    - "downlink cellular network analysis with los nlos propagation and elevated base stations"
    - "please lower small cell antenna heights in 5g"
    - "5g ultra dense 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-6 (induced by source paper "handover control in wireless systems via asynchronous multi user deep reinforcement learning"):
  with members:
    - "learning to play in a day faster deep reinforcement learning by optimality tightening"
    - "handover management in 5g and beyond a topology aware skipping approach"
    - "end to end learning for self driving cars"
    - "asynchronous methods for deep reinforcement learning"
    - "dueling network architectures for deep reinforcement learning"

Connected through hyperedge HE-7 (induced by source paper "mobility support for cellular connected unmanned aerial vehicles performance and analysis"):
  with members:
    - "understanding uav cellular communications from existing networks to massive mimo"
    - "mobile networks connected drones field trials simulations and design insights"
    - "the sky is not the limit lte for unmanned aerial vehicles"

Connected through hyperedge HE-8 (induced by source paper "service on demand drone base stations cruising in the cellular network"):
  with members:
    - "dynamic base station repositioning to improve performance of drone small cells"
    - "dronecells improving 5g spectral efficiency using drone mounted flying base stations"
    - "dynamic base station repositioning to improve spectral efficiency of drone small cells"
    - "please lower small cell antenna heights in 5g"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"

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)