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 "how to group wireless nodes together"):
  Abstract: This report presents a survey on how to group together in a static way planar nodes, that may belong to a wireless network (ad hoc or cellular). The aim is to identify appropriate methods that could also be applied for Point Processes. Specifically matching pairs and algorithms are initially discussed. Next, specifically for Point Processes, the Nearest Neighbour and Lilypond models are presented. Properties and results for the two models are stated. Original bounds are given for the value of the so-called generation number, which is related to the size of the nearest neighbour cluster. Finally, a variation of the nearest neighbour grouping is proposed and an original metric is introduced, named here the ancestor number. This is used to facilitate the analysis of the distribution of cluster size. Based on this certain related bounds are derived. The report and the analysis included show clearly the difficulty of working in point processes with static clusters of size greater than two, when these are defined by proximity criteria.

Includes members:
  Member "cooperative base station coloring for pair wise multi cell coordination":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "a stochastic geometry framework for analyzing pairwise cooperative cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "analyzing interference from static cellular cooperation using the nearest neighbour model":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "wireless node cooperation with resource availability constraints")
  Member "spectral efficiency of dynamic coordinated beamforming a stochastic geometry approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "a tractable model for noncoherent joint transmission base station cooperation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "edge computing enabled cell free massive mimo systems")
  Member "location aware cross tier coordinated multipoint transmission in two tier cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a novel jt comp scheme in 5g fractal small cell networks")
  Member "interference coordination random clustering and adaptive limited feedback":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "provisioning energy efficiency and qos for multi carrier comp with limited feedback")
  Member "coverage by pairwise base station cooperation under adaptive geometric policies":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a stochastic geometry framework for analyzing pairwise cooperative cellular networks")

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)