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: "a tractable approach to coverage and rate in cellular networks"
  Abstract: Cellular networks are usually modeled by placing the base stations on a grid, with mobile users either randomly scattered or placed deterministically. These models have been used extensively but suffer from being both highly idealized and not very tractable, so complex system-level simulations are used to evaluate coverage/outage probability and rate. More tractable models have long been desirable. We develop new general models for the multi-cell signal-to-interference-plus-noise ratio (SINR) using stochastic geometry. Under very general assumptions, the resulting expressions for the downlink SINR CCDF (equivalent to the coverage probability) involve quickly computable integrals, and in some practical special cases can be simplified to common integrals (e.g., the Q-function) or even to simple closed-form expressions. We also derive the mean rate, and then the coverage gain (and mean rate loss) from static frequency reuse. We compare our coverage predictions to the grid model and an actual base station deployment, and observe that the proposed model is pessimistic (a lower bound on coverage) whereas the grid model is optimistic, and that both are about equally accurate. In addition to being more tractable, the proposed model may better capture the increasingly opportunistic and dense placement of base stations in future networks.

Connected through hyperedge HE-1 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks"):
  with members:
    - "scaling laws of dense multi antenna cellular networks"
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks"
    - "performance limits of network densification"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "performance impact of base station antenna heights in dense cellular networks"
    - "a primer on cellular network analysis using stochastic geometry"
    - "scaling laws for ergodic spectral efficiency in mimo poisson networks"

Connected through hyperedge HE-2 (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-3 (induced by source paper "spatio temporal modeling for massive and sporadic access"):
  with members:
    - "tradeoff between delay and physical layer security in wireless networks"
    - "aggregation and resource scheduling in machine type communication networks a stochastic geometry approach"
    - "random access analysis for massive iot networks under a new spatio temporal model a stochastic geometry approach"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "massive machine type communication with data aggregation and resource scheduling"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "user centric mobility management in ultra dense cellular networks under spatio temporal dynamics"

Connected through hyperedge HE-4 (induced by source paper "air to air communications beyond 5g a novel 3d comp transmission scheme"):
  with members:
    - "coordinated multi point transmission a poisson delaunay triangulation based approach"
    - "a tractable framework for coverage analysis of cellular connected uav networks"
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "cellular connectivity for uavs network modeling performance analysis and design guidelines"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "supporting uav cellular communications through massive mimo"
    - "unified analytical volume distribution of poisson delaunay simplex and its application to coordinated multi point transmission"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"

Connected through hyperedge HE-5 (induced by source paper "a spatiotemporal framework for information freshness in iot uplink networks"):
  with members:
    - "locally adaptive scheduling policy for optimizing information freshness in wireless networks"
    - "age of information in poisson networks"
    - "average age of information with hybrid arq under a resource constraint"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "the age of information real time status updating by multiple sources"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"

Connected through hyperedge HE-6 (induced by source paper "scaling laws of dense multi antenna cellular networks"):
  with members:
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks"
    - "performance limits of network densification"
    - "performance impact of base station antenna heights in dense cellular networks"
    - "spectral efficiency scaling laws in dense random wireless networks with multiple receive antennas"
    - "downlink cellular network analysis with multi slope path loss models"
    - "downlink mimo hetnets modeling ordering results and performance analysis"
    - "transmission capacity of wireless networks"

Connected through hyperedge HE-7 (induced by source paper "analysis of d2d communication with rf energy harvesting and interference management"):
  with members:
    - "d2d communications underlaying wireless powered communication networks"
    - "energy harvesting wireless communications a review of recent advances"
    - "d2d enhanced heterogeneous cellular networks with dynamic tdd"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "cognitive and energy harvesting based d2d communication in cellular networks stochastic geometry modeling and analysis"
    - "spatial throughput of mobile ad hoc networks powered by energy harvesting"
    - "five disruptive technology directions for 5g"
    - "opportunistic wireless energy harvesting in cognitive radio networks"

Connected through hyperedge HE-8 (induced by source paper "dynamic tdd interference analysis in macro cell and small cell deployments"):
  with members:
    - "3d beamforming based dynamic tdd interference mitigation scheme"
    - "interference analysis in dynamic tdd system combined or not with cell clustering scheme"
    - "performance of dynamic and static tdd in self backhauled millimeter wave cellular networks"
    - "a primer on cellular network analysis using stochastic geometry"
    - "analytical tractability of hexagonal network model with random user location"
    - "d2d enhanced heterogeneous cellular networks with dynamic tdd"
    - "dynamic uplink downlink optimization in tdd based small cell networks"
    - "analytical modeling of uplink 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)