human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "effects of base station spatial interdependence on interference correlation and network performance"):
  Abstract: The spatial-and-temporal correlation of interference has been well studied in Poisson networks where the interfering base stations (BSs) are independent of each other. However, there exists spatial interdependence including attraction and repulsion among the BSs in practical wireless networks, affecting the interference distribution and hence the network performance. In view of this, by modeling the network as a Poisson clustered process, we study the effects of spatial interdependence among BSs on the interference distribution and prove that BS clustering increases the level of interference correlation. In particular, it is shown that the level increases as the attraction between the BSs increases. To quantify the effects of spatial interdependence among BSs on network performance, we consider heterogeneous cellular networks in which small-cell BSs exhibit a clustered topology in practice. Furthermore, a retransmission scheme is assumed since it amplifies the effects of interference correlation. It is shown that the repulsion between BSs from different tiers improves the outage performance of macro users while it has little impact on that of small-cell users. In addition, it is proved that the effects of BS clustering on the outage performance can be neglected if the mean number of clustering BSs is small.

Includes members:
  Member "temporal correlation of interference and outage in mobile networks over one dimensional finite regions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "spatio temporal correlation of interference in manet under spatially correlated shadowing environment")
  Member "spatio temporal interference correlation and joint coverage in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "handover probability in drone cellular networks")
  Member "network densification in 5g from the short range communications perspective":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "robust energy efficient beamforming in misome swipt systems with proportional secrecy rate")
  Member "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimizing information freshness in wireless networks a stochastic geometry approach")
  Member "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "smart radio environments empowered by ai reconfigurable meta surfaces an idea whose time has come")
  Member "cache enabled heterogeneous cellular networks optimal tier level content placement":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "reinforcement learning based cooperative coded caching under dynamic popularities in ultra dense networks")
  Member "analysis of interference correlation in non poisson networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "spatio temporal correlation of interference in manet under spatially correlated shadowing environment")
  Member "optimizing user association and spectrum allocation in hetnets a utility perspective":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "resource allocation in green dense cellular networks complexity and algorithms")

Question: Please tell me which class the source paper 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)