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: "user point processes in cellular networks"
  Abstract: The point process of concurrent users is critical for the analysis of cellular networks, in particular for the uplink and for full-duplex communication. We analyze the properties of two popular models. For the first one, we provide an accurate characterization of the pair correlation functions from the user and the base station point of view, which are applied to approximate the user process by Poisson and Ginibre point processes. For the second model, which includes the first model asymptotically, we study the cell vacancy probability, the mean area of vacant and occupied cells, the user-base station distance, and the pair correlation function in lightly and heavily loaded regimes.

Connected through hyperedge HE-1 (induced by source paper "scheduling policies for federated learning in wireless networks"):
  with members:
    - "in edge ai intelligentizing mobile edge computing caching and communication by federated learning"
    - "client selection for federated learning with heterogeneous resources in mobile edge"
    - "coded federated computing in wireless networks with straggling devices and imperfect csi"
    - "wireless network intelligence at the edge"
    - "federated learning strategies for improving communication efficiency"
    - "broadband analog aggregation for low latency federated edge learning extended version"
    - "federated learning via over the air computation"
    - "adaptive federated learning in resource constrained edge computing systems"

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 "a unified spatial framework for uav aided mmwave networks"):
  with members:
    - "cache enabled hetnets with millimeter wave small cells"
    - "securing uav communications via joint trajectory and power control"
    - "online learning for position aided millimeter wave beam training"
    - "multiple antenna aided noma in uav networks a stochastic geometry approach"
    - "robust trajectory and transmit power design for secure uav communications"
    - "modeling and analysis of d2d millimeter wave networks with poisson cluster processes"
    - "non orthogonal multiple access in large scale heterogeneous networks"
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"

Connected through hyperedge HE-4 (induced by source paper "downlink analysis for the typical cell in poisson cellular networks"):
  with members:
    - "the meta distribution of the sir for cellular networks with power control"
    - "a primer on cellular network analysis using stochastic geometry"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-5 (induced by source paper "on coverage probability with type ii harq in large uplink cellular networks"):
  with members:
    - "the meta distribution of the sir for cellular networks with power control"
    - "effects of base station spatial interdependence on interference correlation and network performance"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
    - "diversity polynomials for the analysis of temporal correlations in wireless networks"

Connected through hyperedge HE-6 (induced by source paper "on coverage probability in uplink noma with instantaneous signal power based user ranking"):
  with members:
    - "accuracy of distance based ranking of users in the analysis of noma systems"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"

Connected through hyperedge HE-7 (induced by source paper "stochastic geometry based uplink analysis of massive mimo systems with fractional pilot reuse"):
  with members:
    - "johnson mehl cell based analysis of ul cellular network with coupled user and bs locations"
    - "fog massive mimo a user centric seamless hot spot architecture"
    - "massive mimo has unlimited capacity"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "a primer on cellular network analysis using stochastic geometry"
    - "poisson hole process theory and applications to wireless networks"
    - "massive mimo enabled full duplex cellular networks"
    - "massive mimo ten myths and one critical question"

Connected through hyperedge HE-8 (induced by source paper "adaptive transmission in cellular networks do physical layer rateless codes supersede power control"):
  with members:
    - "rate statistics in cellular downlink phy rateless vs adaptive modulation and coding"
    - "system level modeling and optimization of the energy efficiency in cellular networks a stochastic geometry framework"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "enhanced cellular coverage and throughput using rateless codes"
    - "downlink coordinated joint transmission for mutual information accumulation"
    - "rate splitting for mimo wireless networks a promising phy layer strategy for lte evolution"

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)