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: "poisson cluster process based analysis of hetnets with correlated user and base station locations"
  Abstract: This paper develops a comprehensive new approach to the modeling and analysis of HetNets that accurately incorporates correlation in the locations of users and base stations, which exists due to the deployment of small cell base stations (SBSs) at the places of high user density (termed user hotspots in this paper). Modeling the locations of the geographical centers of user hotspots as a homogeneous Poisson Point Process (PPP), we assume that the users and SBSs are clustered around each user hotspot center independently with two different distributions. The macrocell base station (BS) locations are modeled by an independent PPP. This model naturally captures correlation that exists between the locations of users and their serving SBSs. Using this model, we study the performance of a typical user in terms of coverage probability and throughput for two association policies: i) power-based association, where a typical user is served by the open-access BS that provides maximum averaged received power, and ii) distance-based association, where a typical user is served by its nearest open-access SBS if it is located closer than a certain distance threshold; and macro tier otherwise. After deriving all the results in terms of general distributions describing the locations of users and SBSs around the geographical center of user hotspots, we specialize the setup to the Thomas cluster process. A key intermediate step in this analysis is the derivation of distance distributions from a typical user to the open-access and closed-access interfering SBSs. Consistent with the intuition, our analysis demonstrates that as the number of SBSs reusing the same resource block increases (higher frequency reuse), coverage probability decreases whereas throughput increases. Thus the same resource block can be aggressively reused by more SBSs as long as the coverage probability remains acceptable.

Connected through hyperedge HE-1 (induced by source paper "joint energy and sinr coverage in spatially clustered rf powered iot network"):
  with members:
    - "optimization of energy constrained wireless powered communication networks with heterogeneous nodes"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"
    - "joint uplink and downlink coverage analysis of cellular based rf powered iot network"
    - "non orthogonal multiple access schemes in wireless powered communication networks"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "on optimal policies in full duplex wireless powered communication networks"
    - "wirelessly powered backscatter communication networks modeling coverage and capacity"

Connected through hyperedge HE-2 (induced by source paper "downlink analysis of noma enabled cellular networks with 3gpp inspired user ranking"):
  with members:
    - "downlink analysis for the typical cell in poisson cellular networks"
    - "noma in the uplink delay analysis with imperfect csi and finite length coding"
    - "meta distribution of downlink non orthogonal multiple access noma in poisson networks"
    - "downlink non orthogonal multiple access noma in poisson networks"
    - "stochastic geometry based uplink analysis of massive mimo systems with fractional pilot reuse"
    - "accuracy of distance based ranking of users in the analysis of noma systems"
    - "non orthogonal multiple access in large scale heterogeneous networks"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"

Connected through hyperedge HE-3 (induced by source paper "stochastic design and analysis of wireless cloud caching networks"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "random caching based cooperative transmission in heterogeneous wireless networks"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimizing content caching to maximize the density of successful receptions in device to device networking"
    - "effect of retransmissions on optimal caching in cache enabled small cell networks"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "cache enabled heterogeneous cellular networks optimal tier level content placement"

Connected through hyperedge HE-4 (induced by source paper "on the contact and nearest neighbor distance distributions for the n dimensional matern cluster process"):
  with members:
    - "equi coverage contours in cellular networks"
    - "downlink coverage probability in cellular networks with poisson poisson cluster deployed base stations"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "a primer on cellular network analysis using stochastic geometry"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "nearest neighbor and contact distance distributions for thomas cluster process"
    - "modeling and performance analysis of clustered device to device networks"

Connected through hyperedge HE-5 (induced by source paper "unified analysis of hetnets using poisson cluster process under max power association"):
  with members:
    - "equi coverage contours in cellular networks"
    - "downlink coverage probability in cellular networks with poisson poisson cluster deployed base stations"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "interference functionals in poisson networks"
    - "nearest neighbor and contact distance distributions for thomas cluster process"

Connected through hyperedge HE-6 (induced by source paper "effect of spatial and temporal traffic statistics on the performance of wireless networks"):
  with members:
    - "tradeoff between delay and physical layer security in wireless networks"
    - "the meta distribution of the sir for cellular networks with power control"
    - "stable throughput and delay analysis of a random access network with queue aware transmission"
    - "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"
    - "the learning and prediction of application level traffic data in cellular networks"
    - "user centric mobility management in ultra dense cellular networks under spatio temporal dynamics"

Connected through hyperedge HE-7 (induced by source paper "downlink analysis in unmanned aerial vehicle uav assisted cellular networks with clustered users"):
  with members:
    - "uplink coverage performance of an underlay drone cell for temporary events"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "optimal transport theory for cell association in uav enabled cellular networks"
    - "uplink performance analysis in d2d enabled mmwave cellular networks with clustered users"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "coverage maximization for a poisson field of drone cells"
    - "coverage in downlink heterogeneous mmwave cellular networks with user centric small cell deployment"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"

Connected through hyperedge HE-8 (induced by source paper "johnson mehl cell based analysis of ul cellular network with coupled user and bs locations"):
  with members:
    - "a primer on cellular network analysis using stochastic geometry"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "user point processes in cellular networks"
    - "modeling and performance analysis of clustered device to device networks"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
    - "joint rate and sinr coverage analysis for decoupled uplink downlink biased cell associations in hetnets"
    - "analytical modeling of uplink cellular networks"
    - "modeling and analysis of k tier downlink heterogeneous 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)