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: "propagation path loss models for 5g urban micro and macro cellular scenarios"
  Abstract: This paper presents and compares two candidate large-scale propagation path loss models, the alpha-beta-gamma (ABG) model and the close-in (CI) free space reference distance model, for the design of fifth generation (5G) wireless communication systems in urban micro- and macro-cellular scenarios. Comparisons are made using the data obtained from 20 propagation measurement campaigns or ray- tracing studies from 2 GHz to 73.5 GHz over distances ranging from 5 m to 1429 m. The results show that the one-parameter CI model has a very similar goodness of fit (i.e., the shadow fading standard deviation) in both line-of-sight and non-line-of-sight environments, while offering substantial simplicity and more stable behavior across frequencies and distances, as compared to the three-parameter ABG model. Additionally, the CI model needs only one very subtle and simple modification to the existing 3GPP floating-intercept path loss model (replacing a constant with a close-in free space reference value) in order to provide greater simulation accuracy, more simplicity, better repeatability across experiments, and higher stability across a vast range of frequencies.

Connected through hyperedge HE-1 (induced by source paper "distributed learning for channel allocation over a shared spectrum"):
  with members:
    - "deep reinforcement learning for dynamic multichannel access in wireless networks"
    - "game of thrones fully distributed learning for multi player bandits"
    - "proactive resource management for lte in unlicensed spectrum a deep learning perspective"
    - "deep multi user reinforcement learning for distributed dynamic spectrum access"
    - "game theoretic dynamic channel allocation for frequency selective interference channels"
    - "proactive resource management in lte u systems a deep learning perspective"
    - "multi player bandits a musical chairs approach"
    - "distributed channel assignment in cognitive radio networks stable matching and walrasian equilibrium"

Connected through hyperedge HE-2 (induced by source paper "network utility maximization based on incentive mechanism for truthful reporting of local information"):
  with members:
    - "applications of economic and pricing models for wireless network security a survey"
    - "joint scheduling and transmission power control in wireless ad hoc networks"
    - "distributed and fair beaconing rate adaptation for congestion control in vehicular networks"
    - "energy aware traffic offloading for green heterogeneous networks"
    - "context aware small cell networks how social metrics improve wireless resource allocation"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "distributed constrained optimization by consensus based primal dual perturbation method"
    - "energy efficiency and spectral efficiency tradeoff in device to device d2d communications"

Connected through hyperedge HE-3 (induced by source paper "a coverage aware resource provisioning method for network slicing"):
  with members:
    - "impact of processing resource sharing on the placement of chained virtual network functions"
    - "network service orchestration a survey"
    - "low complexity distributed radio access network slicing algorithms and experimental results"
    - "on the trade off between computational load and reliability for network function virtualization"
    - "network slicing to enable scalability and flexibility in 5g mobile networks"
    - "understanding the computational requirements of virtualized baseband units using a programmable cloud radio access network testbed"

Connected through hyperedge HE-4 (induced by source paper "storns stochastic radio access network slicing"):
  with members:
    - "a utility driven multi queue admission control solution for network slicing"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "from network sharing to multi tenancy the 5g network slice broker"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-5 (induced by source paper "optimal coverage and rate in downlink cellular networks a sir meta distribution based approach"):
  with members:
    - "sir meta distribution of k tier downlink heterogeneous cellular networks with cell range expansion"
    - "the spatial outage capacity of wireless networks"
    - "downlink cellular network analysis with los nlos propagation and elevated base stations"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "please lower small cell antenna heights in 5g"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"

Connected through hyperedge HE-6 (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-7 (induced by source paper "investigation of prediction accuracy sensitivity and parameter stability of large scale propagation path loss models for 5g wireless communications"):
  with members:
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"
    - "a prediction study of path loss models from 2 73 5 ghz in an urban macro environment"
    - "indoor 5g 3gpp like channel models for office and shopping mall environments"
    - "local multipath model parameters for generating 5g millimeter wave 3gpp like channel impulse response"
    - "millimeter wave distance dependent large scale propagation measurements and path loss models for outdoor and indoor 5g systems"
    - "path loss shadow fading and line of sight probability models for 5g urban macro cellular scenarios"
    - "probabilistic omnidirectional path loss models for millimeter wave outdoor communications"
    - "28 ghz and 73 ghz millimeter wave indoor propagation measurements and path loss models"

Connected through hyperedge HE-8 (induced by source paper "indoor 5g 3gpp like channel models for office and shopping mall environments"):
  with members:
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"
    - "a prediction study of path loss models from 2 73 5 ghz in an urban macro environment"
    - "local multipath model parameters for generating 5g millimeter wave 3gpp like channel impulse response"
    - "path loss shadow fading and line of sight probability models for 5g urban macro cellular scenarios"
    - "probabilistic omnidirectional path loss models for millimeter wave outdoor communications"
    - "3 d statistical channel model for millimeter wave outdoor mobile broadband communications"

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)