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: "studying the sinr process of the typical user in poisson networks by using its factorial moment measures"
  Abstract: Based on a stationary Poisson point process, a wireless network model with random propagation effects (shadowing and/or fading) is considered in order to examine the process formed by the signal-to-interference-plus-noise ratio (SINR) values experienced by a typical user with respect to all base stations in the down-link channel. This SINR process is completely characterized by deriving its factorial moment measures, which involve numerically tractable, explicit integral expressions. This novel framework naturally leads to expressions for the k-coverage probability, including the case of random SINR threshold values considered in multi-tier network models. While the k-coverage probabilities correspond to the marginal distributions of the order statistics of the SINR process, a more general relation is presented connecting the factorial moment measures of the SINR process to the joint densities of these order statistics. This gives a way for calculating exact values of the coverage probabilities arising in a general scenario of signal combination and interference cancellation between base stations. The presented framework consisting of mathematical representations of SINR characteristics with respect to the factorial moment measures holds for the whole domain of SINR and is amenable to considerable model extension.

Connected through hyperedge HE-1 (induced by source paper "wireless network signals with moderately correlated shadowing still appear poisson"):
  with members:
    - "ergodic spectral efficiency in mimo cellular networks"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "stronger wireless signals appear more poisson"
    - "wireless networks appear poissonian due to strong shadowing"
    - "average rate of downlink heterogeneous cellular networks over generalized fading channels a stochastic geometry approach"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"):
  with members:
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "interference coordination random clustering and adaptive limited feedback"
    - "coverage by pairwise base station cooperation under adaptive geometric policies"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "optimized data sharing in multicell mimo with finite backhaul capacity"
    - "a tractable approach to coverage and rate in cellular networks"
    - "the compound multiple access channel with partially cooperating encoders"

Connected through hyperedge HE-3 (induced by source paper "analyzing interference from static cellular cooperation using the nearest neighbour model"):
  with members:
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "backhaul constrained multi cell cooperation leveraging sparsity and spectral clustering"
    - "coalitional games in miso interference channels epsilon core and coalition structure stable set"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "interference coordination random clustering and adaptive limited feedback"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"
    - "networked mimo with clustered linear precoding"

Connected through hyperedge HE-4 (induced by source paper "wireless networks appear poissonian due to strong shadowing"):
  with members:
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "statistical modeling and probabilistic analysis of cellular networks with determinantal point processes"
    - "the ginibre point process as a model for wireless networks with repulsion"
    - "analysis of non coherent joint transmission cooperation in heterogeneous cellular networks"
    - "successive interference cancellation in heterogeneous cellular networks"
    - "sinr based k coverage probability in cellular networks with arbitrary shadowing"
    - "equivalence and comparison of heterogeneous cellular networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-5 (induced by source paper "statistical modeling and probabilistic analysis of cellular networks with determinantal point processes"):
  with members:
    - "the ginibre point process as a model for wireless networks with repulsion"
    - "wireless networks appear poissonian due to strong shadowing"
    - "hetnets and massive mimo modeling potential gains and performance analysis"
    - "downlink mimo hetnets modeling ordering results and performance analysis"
    - "load aware modeling and analysis of heterogeneous cellular networks"
    - "modeling heterogeneous network interference using poisson point processes"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "series expansion for interference in wireless 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)