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: "handover management in dense cellular networks a stochastic geometry approach"
  Abstract: Cellular operators are continuously densifying their networks to cope with the ever-increasing capacity demand. Furthermore, an extreme densification phase for cellular networks is foreseen to fulfill the ambitious fifth generation (5G) performance requirements. Network densification improves spectrum utilization and network capacity by shrinking base stations' (BSs) footprints and reusing the same spectrum more frequently over the spatial domain. However, network densification also increases the handover (HO) rate, which may diminish the capacity gains for mobile users due to HO delays. In highly dense 5G cellular networks, HO delays may neutralize or even negate the gains offered by network densification. In this paper, we present an analytical paradigm, based on stochastic geometry, to quantify the effect of HO delay on the average user rate in cellular networks. To this end, we propose a flexible handover scheme to reduce HO delay in case of highly dense cellular networks. This scheme allows skipping the HO procedure with some BSs along users' trajectories. The performance evaluation and testing of this scheme for only single HO skipping shows considerable gains in many practical scenarios.

Connected through hyperedge HE-1 (induced by source paper "wireless edge computing with latency and reliability guarantees"):
  with members:
    - "distributed federated learning for ultra reliable low latency vehicular communications"
    - "machine learning at the wireless edge distributed stochastic gradient descent over the air"
    - "how reliable and capable is multi connectivity"
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "coded federated computing in wireless networks with straggling devices and imperfect csi"
    - "ultra reliable communication in 5g mmwave networks a risk sensitive approach"
    - "on device federated learning via blockchain and its latency analysis"

Connected through hyperedge HE-2 (induced by source paper "performance impact of idle mode capability on dense small cell networks"):
  with members:
    - "dynamic base station repositioning to improve performance of drone small cells"
    - "study on the idle mode capability with los and nlos transmissions"
    - "microscopic analysis of the uplink interference in fdma small cell networks"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "please lower small cell antenna heights in 5g"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"

Connected through hyperedge HE-3 (induced by source paper "spatio temporal interference correlation and joint coverage in cellular networks"):
  with members:
    - "effect of user mobility on the performance of device to device networks with distributed caching"
    - "temporal correlation of interference and outage in mobile networks with correlated mobility in finite regions"
    - "analysis of interference correlation in non poisson networks"
    - "cooperative relaying under spatially and temporally correlated interference"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "handoff rate and coverage analysis in multi tier heterogeneous networks"
    - "managing interference correlation through random medium access"
    - "effect of spatial interference correlation on the performance of maximum ratio combining"

Connected through hyperedge HE-4 (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"
    - "mobility aware modeling and analysis of dense cellular networks with c plane u plane split architecture"
    - "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-5 (induced by source paper "velocity aware handover management in two tier cellular networks"):
  with members:
    - "mobility aware modeling and analysis of dense cellular networks with c plane u plane split architecture"
    - "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-6 (induced by source paper "cooperative handover management in dense cellular networks"):
  with members:
    - "mobility aware modeling and analysis of dense cellular networks with c plane u plane split architecture"
    - "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.NI(Networking and Internet Architecture)