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 "analyzing large scale multiuser molecular communication via 3d stochastic geometry"):
  Abstract: Information delivery using chemical molecules is an integral part of biology at multiple distance scales and has attracted recent interest in bioengineering and communication theory. An under-explored area is the performance of large-scale molecular communications systems, where multiple transmitters are randomly distributed over space. The collective signal strength at the receiver (i.e., the expected number of observed molecules), resulting from a large number of transmitters at random distances (e.g., due to mobility), can have a major impact on the reliability and efficiency of a molecular communication system. Modelling the transmitters as a homogeneous Poisson point process capture the random spatial patterns of transmitters in the free diffusion fluid environment. Analyzing the collective signal from multiple diffusion sources can be computationally and analytically challenging. In this paper, we present the first tractable analytical model for the collective signal strength due to randomly-placed transmitters in a three-dimensional (3D) large-scale molecular communication system, either with or without degradation. By applying stochastic geometry, we derive analytical expressions for the expected number of observed molecules and the bit error probability at a fully absorbing receiver and a passive receiver under binary concentration shift keying. Our results reveal that the collective signal strength at both types of receivers increases proportionally with increasing transmitter density, and the minimum bit error probability can be improved by introducing molecule degradation. More importantly, the proposed framework dramatically simplifies the analysis, and can be generalized to the analysis of other types of receiver and other performance characteristics in large-scale molecular communication systems.

Includes members:
  Member "reactive receiver modeling for diffusive molecular communication systems with molecule degradation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "channel estimation for diffusive molecular communications")
  Member "3d stochastic geometry model for large scale molecular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "chemical reactions based microfluidic transmitter and receiver for molecular communication")
  Member "modeling and simulation of molecular communication systems with a reversible adsorption receiver":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques")
  Member "physical layer security in three tier wireless sensor networks a stochastic geometry approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "secure and energy efficient transmissions in cache enabled heterogeneous cellular networks performance analysis and optimization")
  Member "improving receiver performance of diffusive molecular communication with enzymes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques")
  Member "a unifying model for external noise sources and isi in diffusive molecular communication":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques")
  Member "isi mitigation techniques in molecular communication":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "index modulation for molecular communication via diffusion systems")
  Member "effect of degradation in molecular communication impairment or enhancement":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "on hybrid mosk csk modulation based molecular communication error rate performance analysis using stochastic geometry")

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)