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: "coverage and rate analysis for millimeter wave cellular networks"
  Abstract: Millimeter wave (mmWave) holds promise as a carrier frequency for fifth generation cellular networks. Because mmWave signals are sensitive to blockage, prior models for cellular networks operated in the ultra high frequency (UHF) band do not apply to analyze mmWave cellular networks directly. Leveraging concepts from stochastic geometry, this paper proposes a general framework to evaluate the coverage and rate performance in mmWave cellular networks. Using a distance-dependent line-of-site (LOS) probability function, the locations of the LOS and non-LOS base stations are modeled as two independent non-homogeneous Poisson point processes, to which different path loss laws are applied. Based on the proposed framework, expressions for the signal-to-noise-and-interference ratio (SINR) and rate coverage probability are derived. The mmWave coverage and rate performance are examined as a function of the antenna geometry and base station density. The case of dense networks is further analyzed by applying a simplified system model, in which the LOS region of a user is approximated as a fixed LOS ball. The results show that dense mmWave networks can achieve comparable coverage and much higher data rates than conventional UHF cellular systems, despite the presence of blockages. The results suggest that the cell size to achieve the optimal SINR scales with the average size of the area that is LOS to a user.

Connected through hyperedge HE-1 (induced by source paper "optimizing information freshness in wireless networks a stochastic geometry approach"):
  with members:
    - "timely updates in energy harvesting two hop networks offline and online policies"
    - "age optimal updates of multiple information flows"
    - "delay analysis of random scheduling and round robin in small cell networks"
    - "optimizing information freshness in wireless networks under general interference constraints"
    - "optimizing age of information in wireless networks with perfect channel state information"
    - "age minimal transmission for energy harvesting sensors with finite batteries online policies"
    - "optimal status update for age of information minimization with an energy harvesting source"
    - "cell edge aware precoding for downlink massive mimo cellular networks"

Connected through hyperedge HE-2 (induced by source paper "coverage analysis of uavs in millimeter wave networks a stochastic geometry approach"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "underlay drone cell for temporary events impact of drone height and aerial channel environments"
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "a stochastic model for uav networks positioned above demand hotspots in urban environments"
    - "coverage and connectivity analysis of millimeter wave vehicular networks"
    - "modeling and analyzing millimeter wave cellular systems"
    - "massive mimo for communications with drone swarms"

Connected through hyperedge HE-3 (induced by source paper "deep reinforcement learning for 5g networks joint beamforming power control and interference coordination"):
  with members:
    - "a deep learning framework for optimization of miso downlink beamforming"
    - "deep learning for tdd and fdd massive mimo mapping channels in space and frequency"
    - "a framework for automated cellular network tuning with reinforcement learning"
    - "deep learning in downlink coordinated multipoint in new radio heterogeneous networks"
    - "q learning algorithm for volte closed loop power control in indoor small cells"
    - "partially blind handovers for mmwave new radio aided by sub 6 ghz lte signaling"
    - "deep learning coordinated beamforming for highly mobile millimeter wave systems"
    - "deep reinforcement learning for dynamic multichannel access in wireless networks"

Connected through hyperedge HE-4 (induced by source paper "on optimal multi user beam alignment in millimeter wave wireless systems"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "active learning and csi acquisition for mmwave initial alignment"
    - "optimal beam sweeping and communication in mobile millimeter wave networks"
    - "throughput optimal beam alignment in millimeter wave networks"
    - "sectoring in multi cell massive mimo systems"
    - "resource sharing among mmwave cellular service providers in a vertically differentiated duopoly"
    - "comparative analysis of initial access techniques in 5g mmwave cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-5 (induced by source paper "multi user provisioning in millimeter wave urban cellular networks"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "stochastic geometric coverage analysis in mmwave cellular networks with realistic channel and antenna radiation models"
    - "modeling and analyzing millimeter wave cellular systems"
    - "a comparison of mimo techniques in downlink millimeter wave cellular networks with hybrid beamforming"
    - "60 ghz outdoor urban measurement study of the feasibility of multi gbps mm wave cellular networks"
    - "millimeter wave cellular networks a mac layer perspective"
    - "joint spatial division and multiplexing for mm wave channels"

Connected through hyperedge HE-6 (induced by source paper "impact of spatial multiplexing on throughput of ultra dense mmwave ap network"):
  with members:
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "modeling and analyzing millimeter wave cellular systems"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "what will 5g be"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-7 (induced by source paper "performance analysis of indoor mmwave networks with ceiling mounted access points"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "coverage and spectral efficiency of indoor mmwave networks with ceiling mounted access points"
    - "analysis of human body blockage in urban millimeter wave cellular communications"
    - "device to device millimeter wave communications interference coverage rate and finite topologies"
    - "analysis of blockage effects on urban cellular networks"

Connected through hyperedge HE-8 (induced by source paper "a 3d beamforming scheme based on the spatial distribution of user locations"):
  with members:
    - "optimal base station antenna downtilt in downlink cellular networks"
    - "interference analysis in dynamic tdd system combined or not with cell clustering scheme"
    - "analytical tractability of hexagonal network model with random user location"
    - "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.IT(Information Theory)