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: "modeling and performance analysis of clustered device to device networks"
  Abstract: Device-to-device (D2D) communication enables direct communication between proximate devices thereby improving the overall spectrum utilization and offloading traffic from cellular networks. This paper develops a new spatial model for D2D networks in which the device locations are modeled as a Poisson cluster process. Using this model, we study the performance of a typical D2D receiver in terms of coverage probability under two realistic content availability setups: 1) content of interest for a typical device is available at a device chosen uniformly at random from the same cluster, which we term  uniform content availability , and 2) content of interest is available at the   $k^{th}$   closest device from the typical device inside the same cluster, which we term    $k$  -closest content availability . Using these coverage probability results, we also characterize the area spectral efficiency (ASE) of the whole network for the two setups. A key intermediate step in this analysis is the derivation of the distributions of distances from a typical device to both the intra- and inter-cluster devices. Our analysis reveals that an optimum number of D2D transmitters must be simultaneously activated per cluster in order to maximize ASE. This can be interpreted as the classical tradeoff between more aggressive frequency reuse and higher interference power. The optimum number of simultaneously transmitting devices and the resulting ASE increase as the content is made available closer to the receivers. Our analysis also quantifies the best and worst case performance of clustered D2D networks both in terms of coverage and ASE.

Connected through hyperedge HE-1 (induced by source paper "optimizing joint probabilistic caching and channel access for clustered d2d networks"):
  with members:
    - "performance analysis of mobile cellular connected drones under practical antenna configurations"
    - "detecting sybil attacks using proofs of work and location in vanets"
    - "privacy preserving smart parking system using blockchain and private information retrieval"
    - "on the reliability of wireless virtual reality at terahertz thz frequencies"
    - "privacy preserving and collusion resistant charging coordination schemes for smart grid"
    - "mimic learning to generate a shareable network intrusion detection model"
    - "mobility in the sky performance and mobility analysis for cellular connected uavs"
    - "blockchain based firmware update scheme tailored for autonomous vehicles"

Connected through hyperedge HE-2 (induced by source paper "energy efficient power and channel allocation in underlay device to multi device communications"):
  with members:
    - "system level modeling and optimization of the energy efficiency in cellular networks a stochastic geometry framework"
    - "optimal resource allocation in multicast device to device communications underlaying lte networks"
    - "radio resource allocation for device to device underlay communication using hypergraph theory"
    - "a tractable framework for the analysis of dense heterogeneous cellular networks"
    - "energy efficient power control a look at 5g wireless technologies"
    - "gaussian approximation for the downlink interference in heterogeneous cellular networks"
    - "device to device millimeter wave communications interference coverage rate and finite topologies"
    - "an analytical framework for device to device communication in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "performance analysis of clustered lora networks"):
  with members:
    - "deep learning in physical layer communications"
    - "low power wide area networks for sustainable iot"
    - "low power wide area network analysis can lora scale"
    - "mitigating inter network interference in lora networks"
    - "wirelessly powered backscatter communication networks modeling coverage and capacity"
    - "enhancing the physical layer security of non orthogonal multiple access in large scale networks"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"
    - "on the performance of non orthogonal multiple access in 5g systems with randomly deployed users"

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"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "nearest neighbor and contact distance distributions for thomas cluster process"

Connected through hyperedge HE-5 (induced by source paper "cache enabled hetnets with millimeter wave small cells"):
  with members:
    - "modeling and analysis of mmwave communications in cache enabled hetnets"
    - "modeling and analysis of d2d millimeter wave networks with poisson cluster processes"
    - "modeling and analyzing millimeter wave cellular systems"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "non orthogonal multiple access in large scale heterogeneous networks"
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"
    - "downlink and uplink cell association with traditional macrocells and millimeter wave small cells"
    - "downlink cell association and load balancing for joint millimeter wave microwave cellular networks"

Connected through hyperedge HE-6 (induced by source paper "self organized scheduling request for uplink 5g networks a d2d clustering approach"):
  with members:
    - "power control and channel allocation for d2d underlaid cellular networks"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"

Connected through hyperedge HE-7 (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"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "interference functionals in poisson networks"

Connected through hyperedge HE-8 (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"

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)