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: "enclosed mmwave wearable networks feasibility and performance"
  Abstract: This paper investigates the feasibility of mmWave frequencies for personal networks of wireless wearable devices in enclosed settings (e.g., commuter trains, subways, airplanes, airports, or offices). At these frequencies, specular reflections off surfaces are expected to contribute to the capture of intended signal power and, simultaneously, to aggravate the interference at the receivers. Meanwhile, blockages by obstacles and people—including the individuals wearing the devices—are expected to shield receivers from interference. With the aid of stochastic geometry and random shape theory, we assess the interplay of surface reflections and blockages for dense deployments of wearable networks equipped with directional antenna arrays in relevant indoor settings.

Connected through hyperedge HE-1 (induced by source paper "optimized deployment of millimeter wave networks for in venue regions with stochastic users orientation"):
  with members:
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "coverage and spectral efficiency of indoor mmwave networks with ceiling mounted access points"
    - "rapid fading due to human blockage in pedestrian crowds at 5g millimeter wave frequencies"
    - "coverage in downlink heterogeneous mmwave cellular networks with user centric small cell deployment"
    - "context aware scheduling of joint millimeter wave and microwave resources for dual mode base stations"
    - "analysis of human body blockage in urban millimeter wave cellular communications"

Connected through hyperedge HE-2 (induced by source paper "stochastic geometry modeling and analysis of finite millimeter wave wireless networks"):
  with members:
    - "spectral efficiency analysis of multi cell massive mimo systems with ricean fading"
    - "modeling and analyzing millimeter wave cellular systems"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "fundamentals of modeling finite wireless networks using binomial point process"
    - "a comparison of mimo techniques in downlink millimeter wave cellular networks with hybrid beamforming"
    - "performance analysis of outdoor mmwave ad hoc networks"
    - "device to device millimeter wave communications interference coverage rate and finite topologies"

Connected through hyperedge HE-3 (induced by source paper "a novel geometry based stochastic double directional analytical model for millimeter wave outdoor nlos channels"):
  with members:
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "analysis of blockage effects on urban 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)