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: "investigation of prediction accuracy sensitivity and parameter stability of large scale propagation path loss models for 5g wireless communications"
  Abstract: This paper compares three candidate large-scale propagation path loss models for use over the entire microwave and millimeter-wave (mmWave) radio spectrum: the alpha-betagamma (ABG) model, the close-in (CI) free-space reference distance model, and the CI model with a frequency-weighted path loss exponent (CIF). Each of these models has been recently studied for use in standards bodies such as 3rd Generation Partnership Project (3GPP) and for use in the design of fifth-generation wireless systems in urban macrocell, urban microcell, and indoor office and shopping mall scenarios. Here, we compare the accuracy and sensitivity of these models using measured data from 30 propagation measurement data sets from 2 to 73 GHz over distances ranging from 4 to 1238 m. A series of sensitivity analyses of the three models shows that the physically based two-parameter CI model and three-parameter CIF model offer computational simplicity, have very similar goodness of fit (i.e., the shadow fading standard deviation), exhibit more stable model parameter behavior across frequencies and distances, and yield smaller prediction error in sensitivity tests across distances and frequencies, when compared to the four-parameter ABG model. Results show the CI model with a 1-m reference distance is suitable for outdoor environments, while the CIF model is more appropriate for indoor modeling. The CI and CIF models are easily implemented in existing 3GPP models by making a very subtle modification — by replacing a floating non-physically based constant with a frequency-dependent constant that represents free-space path loss in the first meter of propagation. This paper shows this subtle change does not change the mathematical form of existing ITU/3GPP models and offers much easier analysis, intuitive appeal, better model parameter stability, and better accuracy in sensitivity tests over a vast range of microwave and mmWave frequencies, scenarios, and distances, while using a simpler model with fewer parameters. This material is based upon work supported by the NYU WIRELESS Industrial Affiliates: ATT tsr@nyu.edu). T. A. Thomas and A. Ghosh are with Nokia, Arlington Heights, IL 60004, USA (e-mail: timothy.thomas@nokia.com; amitava.ghosh@nokia.com). H. Nguyen and I. Rodriguez are with Aalborg University, Aalborg 9220, Denmark (e-mail: huan.nguyen.ext@nokia.com; irl@es.aau.dk). I. Z. Kovacs is with Nokia, Aalborg 9220, Denmark (e-mail: istvan.kovacs@nokia.com). O. Koymen and A. Partyka are with Qualcomm RD apartyka@qti.qualcomm.com).

Connected through hyperedge HE-1 (induced by source paper "a millimeter wave channel simulator nyusim with spatial consistency and human blockage"):
  with members:
    - "simulating motion incorporating spatial consistency into the nyusim channel model"
    - "millimeter wave extended nyusim channel model for spatial consistency"
    - "modeling and analyzing millimeter wave cellular systems"
    - "a novel millimeter wave channel simulator and applications for 5g wireless communications"
    - "rapid fading due to human blockage in pedestrian crowds at 5g millimeter wave frequencies"
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"

Connected through hyperedge HE-2 (induced by source paper "multi scale spectrum sensing in dense multi cell cognitive networks"):
  with members:
    - "a parallel algorithm for generating a random graph with a prescribed degree sequence"
    - "multi scale spectrum sensing in small cell mm wave cognitive wireless networks"
    - "understanding noise and interference regimes in 5g millimeter wave cellular networks"
    - "gains of restricted secondary licensing in millimeter wave cellular systems"
    - "cross layer design of distributed sensing estimation with quality feedback part i optimal schemes"
    - "cross layer estimation and control for cognitive radio exploiting sparse network dynamics"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"

Connected through hyperedge HE-3 (induced by source paper "channel reconstruction based hybrid precoding for millimeter wave multi user mimo systems"):
  with members:
    - "millimeter wave mimo prototype measurements and experimental results"
    - "common codebook millimeter wave beam design designing beams for both sounding and communication with uniform planar arrays"
    - "directional beamforming for millimeter wave mimo systems"
    - "on the number of rf chains and phase shifters and scheduling design with hybrid analog digital beamforming"
    - "hybrid digital and analog beamforming design for large scale antenna arrays"
    - "beamforming tradeoffs for initial ue discovery in millimeter wave mimo systems"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"

Connected through hyperedge HE-4 (induced by source paper "learning the mmse channel estimator"):
  with members:
    - "cell free massive mimo versus small cells"
    - "cell free massive mimo uniformly great service for everyone"
    - "massive mimo in real propagation environments do all antennas contribute equally"
    - "adam a method for stochastic optimization"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "distributed compressive csit estimation and feedback for fdd multi user massive mimo systems"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "a coordinated approach to channel estimation in large scale multiple antenna systems"

Connected through hyperedge HE-5 (induced by source paper "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"):
  with members:
    - "indoor office wideband penetration loss measurements at 73 ghz"
    - "study on 3gpp rural macrocell path loss models for millimeter wave wireless communications"
    - "investigation and comparison of 3gpp and nyusim channel models for 5g wireless communications"
    - "millimeter wave small scale spatial statistics in an urban microcell scenario"
    - "a novel millimeter wave channel simulator and applications for 5g wireless communications"
    - "small scale local area and transitional millimeter wave propagation for 5g communications"
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"
    - "millimeter wave human blockage at 73 ghz with a simple double knife edge diffraction model and extension for directional antennas"

Connected through hyperedge HE-6 (induced by source paper "modeling co location in multi operator mmwave networks with spectrum sharing"):
  with members:
    - "inter operator base station coordination in spectrum shared millimeter wave cellular networks"
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "quantifying the benefits of infrastructure sharing"
    - "resource sharing among mmwave cellular service providers in a vertically differentiated duopoly"
    - "a primer on cellular network analysis using stochastic geometry"
    - "resource sharing in 5g mmwave cellular networks"
    - "spectrum sharing in mmwave cellular networks via cell association coordination and beamforming"
    - "gains of restricted secondary licensing in millimeter wave cellular systems"

Connected through hyperedge HE-7 (induced by source paper "modeling infrastructure sharing in mmwave networks with shared spectrum licenses"):
  with members:
    - "inter operator base station coordination in spectrum shared millimeter wave cellular networks"
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "quantifying the benefits of infrastructure sharing"
    - "resource sharing among mmwave cellular service providers in a vertically differentiated duopoly"
    - "a primer on cellular network analysis using stochastic geometry"
    - "resource sharing in 5g mmwave cellular networks"
    - "spectrum sharing in mmwave cellular networks via cell association coordination and beamforming"
    - "gains of restricted secondary licensing in millimeter wave cellular systems"

Connected through hyperedge HE-8 (induced by source paper "small scale local area and transitional millimeter wave propagation for 5g communications"):
  with members:
    - "indoor office wideband penetration loss measurements at 73 ghz"
    - "study on 3gpp rural macrocell path loss models for millimeter wave wireless communications"
    - "investigation and comparison of 3gpp and nyusim channel models for 5g wireless communications"
    - "a flexible wideband millimeter wave channel sounder with local area and nlos to los transition measurements"
    - "millimeter wave small scale spatial statistics in an urban microcell scenario"
    - "a novel millimeter wave channel simulator and applications for 5g wireless communications"
    - "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"
    - "stationarity region of mm wave channel based on outdoor microcellular measurements at 28 ghz"

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)