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: "auto correlation and coherence time of interference in poisson networks"
  Abstract: The dynamics of interference over space and time influences the performance of wireless communication systems, yet its features are still not fully understood. This article analyzes the temporal dynamics of the interference in Poisson networks accounting for three key correlation sources: the location of nodes, the wireless channel, and the network traffic. We derive expressions for the auto-correlation function of interference. These are presented as a framework that enables us to arbitrarily combine the three correlation sources to match a wide range of interference scenarios. We then introduce the interference coherence time - analogously to the well-known channel coherence time - and analyze its features for each correlation source. We find that the coherence time behaves very different for the different interference scenarios considered and depends on the network parameters. Having accurate knowledge of the coherence time can thus be an important design input for protocols, e.g., retransmission and medium access control.

Connected through hyperedge HE-1 (induced by source paper "spatio temporal correlation of interference in manet under spatially correlated shadowing environment"):
  with members:
    - "a tractable analysis of the blind spot probability in localization networks under correlated blocking"
    - "temporal correlation of interference and outage in mobile networks over one dimensional finite regions"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "correlated interference from uncorrelated users in bounded ad hoc networks with blockage"
    - "asymptotic blind spot analysis of localization networks under correlated blocking using a poisson line process"
    - "spatio temporal interference correlation and joint coverage in cellular networks"
    - "temporal correlation of interference in bounded mobile ad hoc networks with blockage"
    - "analysis of interference correlation in non poisson networks"

Connected through hyperedge HE-2 (induced by source paper "interference prediction in wireless networks stochastic geometry meets recursive filtering"):
  with members:
    - "temporal correlation of interference and outage in mobile networks over one dimensional finite regions"
    - "interference functionals in poisson networks"
    - "rethinking the role of interference in wireless networks"
    - "effect of spatial interference correlation on the performance of maximum ratio combining"
    - "dual branch mrc receivers under spatial interference correlation and nakagami fading"
    - "resource optimization in device to device cellular systems using time frequency hopping"
    - "diversity polynomials for the analysis of temporal correlations in wireless networks"
    - "power control for d2d underlaid cellular networks modeling algorithms and analysis"

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)