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 "scooter to x communications antenna placement human body shadowing and channel modeling"):
  Abstract: In countries such as Taiwan, with a high percentage of scooters, scooter-related accidents are responsible for most injuries and deaths of all traffic accidents. One viable approach to reduce the number of accidents is to utilize short-range wireless communications between the scooter and other vehicles. This would help neighboring vehicles to detect the scooter and vice-versa, thus reducing the probability of a collision. In this paper, we perform extensive measurements to characterize communication links between a scooter and other vehicles. Our results suggest that, when the line-of-sight propagation path is blocked by the body of the scooter driver (and possibly also a passenger), shadowing of the human body results in significant signal attenuation, ranging from 9 to 18 dB on average, presenting challenging channel characteristics unique to scooters. In addition, we perform simulations, which show that it is imperative to incorporate the body shadowing effect to obtain realistic simulation results. We also develop a model to determine whether human body shadowing is in effect, given the relative positions of the transmitter and the receiver.

Includes members:
  Member "a measurement based shadow fading model for vehicle to vehicle network simulations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a measurement based multilink shadowing model for v2v network simulations of highway scenarios")
  Member "vehicular communications survey and challenges of channel and propagation models":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "non orthogonal multiple access with orthogonal time frequency space signal transmission")
  Member "geometry based vehicle to vehicle channel modeling for large scale simulation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "estimating the relative speed of rf jammers in vanets")

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)