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: "small scale local area and transitional millimeter wave propagation for 5g communications"
  Abstract: This paper studies radio propagation mechanisms that impact handoffs, air interface design, beam steering, and multiple-input multiple-output for 5G mobile communication systems. Knife-edge diffraction (KED) and a creeping wave linear model are shown to predict diffraction loss around typical building objects from 10 to 26 GHz, and human blockage measurements at 73 GHz are shown to fit a double KED model, which incorporates antenna gains. Small-scale spatial fading of millimeter wave (mmWave)-received signal voltage amplitude is generally Ricean-distributed for both omnidirectional and directional receive antenna patterns under both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions in most cases, although the log-normal distribution fits measured data better for the omnidirectional receive antenna pattern in the NLOS environment. Small-scale spatial autocorrelations of received voltage amplitudes are shown to fit sinusoidal exponential and exponential functions for LOS and NLOS environments, respectively, with small decorrelation distances of 0.27–13.6 cm (smaller than the size of a handset) that are favorable for spatial multiplexing. Local area measurements using cluster and route scenarios show how the received signal changes as the mobile moves and transitions from LOS to NLOS locations, with reasonably stationary signal levels within clusters. Wideband mmWave power levels are shown to fade from 0.4 dB/ms to 40 dB/s, depending on travel speed and surroundings.

Connected through hyperedge HE-1 (induced by source paper "suburban fixed wireless access channel measurements and models at 28 ghz for 90 outdoor coverage"):
  with members:
    - "suburban residential building penetration loss at 28 ghz for fixed wireless access"
    - "path loss beamforming gain and time dynamics measurements at 28 ghz for 90 indoor coverage"
    - "28 ghz microcell measurement campaign for residential environment"
    - "how much spectrum is too much in millimeter wave wireless access"
    - "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"
    - "gbps user rates using mmwave relayed backhaul with high gain antennas"
    - "stationarity region of mm wave channel based on outdoor microcellular measurements at 28 ghz"
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"

Connected through hyperedge HE-2 (induced by source paper "real time deployment aspects of c band and millimeter wave 5g nr systems"):
  with members:
    - "millimeter wave extended nyusim channel model for spatial consistency"
    - "stationarity region of mm wave channel based on outdoor microcellular measurements at 28 ghz"
    - "hybrid beamforming for massive mimo a survey"

Connected through hyperedge HE-3 (induced by source paper "path loss and directional gain measurements at 28 ghz for non line of sight coverage of indoors with corridors"):
  with members:
    - "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"
    - "millimeter wave distance dependent large scale propagation measurements and path loss models for outdoor and indoor 5g systems"
    - "indoor office plan environment and layout based mmwave path loss models for 28 ghz and 73 ghz"

Connected through hyperedge HE-4 (induced by source paper "impact of spatially consistent channels on digital beamforming for millimeter wave systems"):
  with members:
    - "massive mimo for next generation wireless systems"

Connected through hyperedge HE-5 (induced by source paper "statistical blockage modeling and robustness of beamforming in millimeter wave systems"):
  with members:
    - "how to dimension 5g network when users are distributed on roads modeled by poisson line process"
    - "millimeter wave mimo prototype measurements and experimental results"
    - "rapid fading due to human blockage in pedestrian crowds at 5g millimeter wave frequencies"
    - "millimeter wave human blockage at 73 ghz with a simple double knife edge diffraction model and extension for directional antennas"
    - "beamforming tradeoffs for initial ue discovery in millimeter wave mimo systems"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "spatially sparse precoding in millimeter wave mimo systems"
    - "five disruptive technology directions for 5g"

Connected through hyperedge HE-6 (induced by source paper "hand and body blockage measurements with form factor user equipment at 28 ghz"):
  with members:
    - "statistical blockage modeling and robustness of beamforming in millimeter wave systems"
    - "millimeter wave mimo prototype measurements and experimental results"
    - "rapid fading due to human blockage in pedestrian crowds at 5g millimeter wave frequencies"
    - "millimeter wave human blockage at 73 ghz with a simple double knife edge diffraction model and extension for directional antennas"
    - "directional beamforming for millimeter wave mimo systems"
    - "beamforming tradeoffs for initial ue discovery in millimeter wave mimo systems"
    - "spatially sparse precoding in millimeter wave mimo systems"
    - "millimeter wave beamforming for wireless backhaul and access in small cell networks"

Connected through hyperedge HE-7 (induced by source paper "proactive received power prediction using machine learning and depth images for mmwave networks"):
  with members:
    - "rapid fading due to human blockage in pedestrian crowds at 5g millimeter wave frequencies"
    - "analysis of human body blockage in urban millimeter wave cellular communications"
    - "millimeter wave human blockage at 73 ghz with a simple double knife edge diffraction model and extension for directional antennas"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "batch normalization accelerating deep network training by reducing internal covariate shift"
    - "convolutional lstm network a machine learning approach for precipitation nowcasting"
    - "long term recurrent convolutional networks for visual recognition and description"
    - "millimeter wave evolution for 5g cellular networks"

Connected through hyperedge HE-8 (induced by source paper "matching in the air optimal analog beamforming under angular spread"):
  with members:
    - "suburban fixed wireless access channel measurements and models at 28 ghz for 90 outdoor coverage"
    - "path loss beamforming gain and time dynamics measurements at 28 ghz for 90 indoor coverage"
    - "how much spectrum is too much in millimeter wave wireless access"
    - "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"
    - "gbps user rates using mmwave relayed backhaul with high gain antennas"
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"

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)