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 "multi sector and multi panel performance in 5g mmwave cellular networks"):
  Abstract: The next generation of cellular networks (5G) will exploit the mmWave spectrum to increase the available capacity. Communication at such high frequencies, however, suffers from high path loss and blockage, therefore directional transmissions using antenna arrays and dense deployments are needed. Thus, when evaluating the performance of mmWave mobile networks, it is necessary to accurately model the complex channel, the directionality of the transmission, but also the interplay that these elements can have with the whole protocol stack, both in the radio access and in the higher layers. In this paper, we improve the channel model abstraction of the mmWave module for ns-3, by introducing the support of a more realistic antenna array model, compliant with 3GPP NR requirements, and of multiple antenna arrays at the base stations and mobile handsets. We then study the end-to-end performance of a mmWave cellular network by varying the channel and antenna array configurations, and show that increasing the number of antenna arrays and, consequently, the number of sectors is beneficial for both throughput and latency.

Includes members:
  Member "study of realistic antenna patterns in 5g mmwave cellular scenarios":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "machine learning aided design of thinned antenna arrays for optimized network level performance")
  Member "end to end simulation of 5g mmwave networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "implementation of a spatial channel model for ns 3")
  Member "tcp in 5g mmwave networks link level retransmissions and mp tcp":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "end to end simulation of 5g mmwave networks")
  Member "improved handover through dual connectivity in 5g mmwave mobile networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "wireless edge computing with latency and reliability guarantees")
  Member "ns 3 implementation of the 3gpp mimo channel model for frequency spectrum above 6 ghz":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "implementation of a spatial channel model for ns 3")
  Member "5g cellular user equipment from theory to practical hardware design":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "channel estimation and hybrid precoding for distributed phased arrays based mimo wireless communications")
  Member "performance comparison of dual connectivity and hard handover for lte 5g tight integration":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a tutorial on beam management for 3gpp nr at mmwave frequencies")
  Member "understanding noise and interference regimes in 5g millimeter wave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (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)