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 "unified analytical volume distribution of poisson delaunay simplex and its application to coordinated multi point transmission"):
  Abstract: For Poisson-Delaunay triangulations in    $d$   -dimensional Euclidean space    $\mathbb {R}^{d}$   , a structured and computationally efficient form of the probability density function (PDF) of the volume of a typical cell is analytically derived in this paper. In particular, the ensuing PDF and the corresponding cumulative density function are exact and unified, applicable to spaces of arbitrary dimension (   $d \ge 1$   ). Then, the special cases and shape characteristics of the resulting PDF are thoroughly examined. Finally, various applications of the obtained distribution functions are outlined and, in particular, a novel coordinated multi-point transmission scheme based on Poisson-Delaunay triangulation is developed and the pertinent void cell effect is precisely evaluated by using the obtained distribution functions.

Includes members:
  Member "downlink coordinated joint transmission for mutual information accumulation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "adaptive transmission in cellular networks do physical layer rateless codes supersede power control")
  Member "optimal dynamic point selection for power minimization in multiuser downlink comp":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "robust resource allocation for pd noma based miso heterogeneous networks with comp technology")
  Member "random cell association and void probability in poisson distributed cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "mmwave uav networks with multi cell association performance limit and optimization")
  Member "deploying dense networks for maximal energy efficiency small cells meet massive mimo":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy efficiency optimization for downlink massive mimo with statistical csit")
  Member "optimal cell load and throughput in green small cell networks with generalized cell association":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mmwave uav networks with multi cell association performance limit and optimization")
  Member "spectral efficiency scaling laws in dense random wireless networks with multiple receive antennas":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "worst case user analysis in poisson voronoi cells":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "air to air communications beyond 5g a novel 3d comp transmission scheme")

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)