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: "hethetnets heterogeneous traffic distribution in heterogeneous wireless cellular networks"
  Abstract: A recent approach in modeling and analysis of the supply and demand in heterogeneous wireless cellular networks has been the use of two independent Poisson point processes (PPPs) for the locations of base stations (BSs) and user equipments (UEs). This popular approach has two major shortcomings. First, although the PPP model may be a fitting one for the BS locations, it is less adequate for the UE locations mainly due to the fact that the model is not adjustable (tunable) to represent the severity of the heterogeneity (non-uniformity) in the UE locations. Besides, the independence assumption between the two PPPs does not capture the often-observed correlation between the UE and BS locations. #R##N#This paper presents a novel heterogeneous spatial traffic modeling which allows statistical adjustment. Simple and non-parameterized, yet sufficiently accurate, measures for capturing the traffic characteristics in space are introduced. Only two statistical parameters related to the UE distribution, namely, the coefficient of variation (the normalized second-moment), of an appropriately defined inter-UE distance measure, and correlation coefficient (the normalized cross-moment) between UE and BS locations, are adjusted to control the degree of heterogeneity and the bias towards the BS locations, respectively. This model is used in heterogeneous wireless cellular networks (HetNets) to demonstrate the impact of heterogeneous and BS-correlated traffic on the network performance. This network is called HetHetNet since it has two types of heterogeneity: heterogeneity in the infrastructure (supply), and heterogeneity in the spatial traffic distribution (demand).

Connected through hyperedge HE-1 (induced by source paper "deployment of drone base stations for cellular communication without apriori user distribution information"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "placement optimization of uav mounted mobile base stations"
    - "optimized deployment of autonomous drones to improve user experience in cellular networks"
    - "energy efficient uav communication with trajectory optimization"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-2 (induced by source paper "the stochastic geometry analyses of cellular networks with alpha stable self similarity"):
  with members:
    - "system level modeling and optimization of the energy efficiency in cellular networks a stochastic geometry framework"
    - "delivery secrecy tradeoff for cache enabled stochastic networks content placement optimization"
    - "self interference in full duplex multi user mimo channels"
    - "secrecy outage analysis for downlink transmissions in the presence of randomly located eavesdroppers"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"
    - "analysis of massive mimo enabled downlink wireless backhauling for full duplex small cells"
    - "the learning and prediction of application level traffic data in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"):
  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"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "nearest neighbor and contact distance distributions for thomas cluster process"
    - "modeling and performance analysis of clustered device to device networks"
    - "multi channel hybrid access femtocells a stochastic geometric analysis"
    - "modeling non uniform ue distributions in downlink cellular networks"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"

Connected through hyperedge HE-4 (induced by source paper "user association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "introduction to ultra reliable and low latency communications in 5g"
    - "association of networked flying platforms with small cells for network centric 5g c ran"
    - "a distributed approach for networked flying platform association with small cells in 5g networks"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "joint downlink cell association and bandwidth allocation for wireless backhauling in two tier hetnets with large scale antenna arrays"
    - "fso based vertical backhaul fronthaul framework for 5g wireless networks"

Connected through hyperedge HE-5 (induced by source paper "future of ultra dense networks beyond 5g harnessing heterogeneous moving cells"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "energy efficient user association and power allocation in millimeter wave based ultra dense networks with energy harvesting base stations"
    - "ultra dense small cell networks turning density into energy efficiency"
    - "the new frontier in ran heterogeneity multi tier drone cells"
    - "millimeter wave channel modeling and cellular capacity evaluation"
    - "five disruptive technology directions for 5g"

Connected through hyperedge HE-6 (induced by source paper "poisson cluster process based analysis of hetnets with correlated user and base station locations"):
  with members:
    - "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"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "fundamentals of modeling finite wireless networks using binomial point process"
    - "a primer on cellular network analysis using stochastic geometry"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimal geographic caching in finite wireless networks"

Connected through hyperedge HE-7 (induced by source paper "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "a primer on cellular network analysis using stochastic geometry"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "system level analysis of heterogeneous networks under imperfect traffic hotspot localization"
    - "poisson hole process theory and applications to wireless networks"
    - "modeling and performance analysis of clustered device to device networks"
    - "characterizing spatial patterns of base stations in cellular networks"

Connected through hyperedge HE-8 (induced by source paper "unified stochastic geometry modeling and analysis of cellular networks in los nlos and shadowed fading"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "unified stochastic geometry model for mimo cellular networks with retransmissions"
    - "coverage analysis in downlink poisson cellular network with kappa mu shadowed fading"
    - "modeling cellular networks in fading environments with dominant specular components"
    - "on modeling coverage and rate of random cellular networks under generic channel fading"
    - "optimizing user association and spectrum allocation in hetnets a utility perspective"
    - "downlink cellular network analysis with multi slope path loss models"
    - "tractable model for rate in self backhauled millimeter wave 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.NI(Networking and Internet Architecture)