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 "towards standardization of millimeter wave vehicle to vehicle networks open challenges and performance evaluation"):
  Abstract: IEEE 802.11bd and 3GPP NR V2X represent the new specifications for the next generation of Vehicle-to-Vehicle (V2V) networks, which will foresee the integration of the millimeter wave band in vehicular operations to address the high data rates and low latency requirements of V2V communications. In this paper, we review the latest standard developments and present an overview of the mmWave-specific challenges that 802.11bd and NR V2X will have to address. To the best of our knowledge, our work is the first that considers a full-stack end-to-end approach for the design of V2V networks, discussing open issues that span from the physical to the higher layers, and reporting the results of an end-to-end performance evaluation that highlight the potentials of mmWaves for V2V communications.

Includes members:
  Member "path loss models for v2v mmwave communication performance evaluation and open challenges":
    also connected through other hyperedges:
      (none)
  Member "ieee 802 11ad based radar an approach to joint vehicular communication radar system":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mac protocols for terahertz communication a comprehensive survey")
  Member "understanding noise and interference regimes in 5g millimeter wave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint path selection and rate allocation framework for 5g self backhauled mm wave 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)