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 "transmitter and receiver architectures for molecular communications a survey on physical design with modulation coding and detection techniques"):
  Abstract: Inspired by nature, molecular communications (MC), i.e., the use of molecules to encode, transmit, and receive information, stands as the most promising communication paradigm to realize the nanonetworks. Even though there has been extensive theoretical research toward nanoscale MC, there are no examples of implemented nanoscale MC networks. The main reason for this lies in the peculiarities of nanoscale physics, challenges in nanoscale fabrication, and highly stochastic nature of the biochemical domain of envisioned nanonetwork applications. This mandates developing novel device architectures and communication methods compatible with MC constraints. To that end, various transmitter and receiver designs for MC have been proposed in the literature together with numerable modulation, coding, and detection techniques. However, these works fall into domains of a very wide spectrum of disciplines, including, but not limited to, information and communication theory, quantum physics, materials science, nanofabrication, physiology, and synthetic biology. Therefore, we believe it is imperative for the progress of the field that an organized exposition of cumulative knowledge on the subject matter can be compiled. Thus, to fill this gap, in this comprehensive survey, we review the existing literature on transmitter and receiver architectures toward realizing MC among nanomaterial-based nanomachines and/or biological entities and provide a complete overview of modulation, coding, and detection techniques employed for MC. Moreover, we identify the most significant shortcomings and challenges in all these research areas and propose potential solutions to overcome some of them.

Includes members:
  Member "magnetic nanoparticle based molecular communication in microfluidic environments":
    also connected through other hyperedges:
      (none)
  Member "diffusion based molecular communication with limited molecule production rate":
    also connected through other hyperedges:
      (none)
  Member "stochastic channel modeling for diffusive mobile molecular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "molecular communication with anomalous diffusion in stochastic nanonetworks")
  Member "exploiting diversity in molecular timing channels via order statistics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a novel time based modulation scheme in time asynchronous channels for molecular communications")
  Member "experimental molecular communication testbed based on magnetic nanoparticles in duct flow":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "magnetic nanoparticle based molecular communication in microfluidic environments")
  Member "diversity gain of one shot communication over molecular timing channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a novel time based modulation scheme in time asynchronous channels for molecular communications")
  Member "a novel experimental platform for in vessel multi chemical molecular communications":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey of biological building blocks for synthetic molecular communication systems")
  Member "on the design of matched filters for molecule counting receivers":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "using spatial partitioning to reduce the bit error rate of diffusion based molecular communications")

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.ET(Emerging Technologies)