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 "a tractable analysis of the blind spot probability in localization networks under correlated blocking"):
  Abstract: In localization applications, the line-of-sight between anchors and targets may be blocked by obstacles in the environment. A target without line-of-sight to enough number of anchors cannot be unambiguously localized and is, therefore, said to be in a blind-spot. In this paper, we analyze the blind-spot probability of a typical target by using stochastic geometry to model the randomness in the obstacle and anchor locations. In doing so, we handle correlated anchor blocking induced by obstacles, unlike previous works that assume independent anchor blocking. We first characterize the regime over which the independent blocking assumption underestimates the blind-spot probability of the typical target, which in turn, is characterized as a function of the distribution of the unshadowed area, as seen from the target location. Since this distribution is difficult to characterize exactly, we formulate the nearest two-obstacle approximation, which is equivalent to considering correlated blocking for only the nearest two obstacles from the target and assuming independent blocking for the remaining obstacles. Based on this, we derive a closed-form (approximate) expression for the blind-spot probability, which helps determine the anchor deployment intensity needed for the blind-spot probability of a typical target to be at most a threshold, $\mu$.

Includes members:
  Member "accurately accounting for random blockage in device to device mmwave networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the potential gains of macrodiversity in mmwave cellular networks with correlated blocking")
  Member "on the effect of shadowing correlation on wireless network performance":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploiting randomly located blockages for large scale deployment of intelligent surfaces")
  Member "asymptotic blind spot analysis of localization networks under correlated blocking using a poisson line process":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "millimeter wave integrated access and backhaul in 5g performance analysis and design insights")
  Member "analysis of human body blockage in urban millimeter wave cellular communications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "performance analysis of indoor mmwave networks with ceiling mounted access points")
  Member "a tractable analysis of the improvement in unique localizability through collaboration":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "characterizing the impact of snr heterogeneity on time of arrival based localization outage probability")
  Member "analysis of blockage effects on urban cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "exploiting randomly located blockages for large scale deployment of intelligent surfaces")

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.NI(Networking and Internet Architecture)