human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "study of realistic antenna patterns in 5g mmwave cellular scenarios"
  Abstract: Large antenna arrays and millimeter-wave (mmWave) frequencies have been attracting growing attention as possible candidates to meet the high requirements of future 5G mobile networks. In view of the large path loss attenuation in these bands, beamforming techniques that create a beam in the direction of the user equipment are essential to perform the transmission. For this purpose, in this paper, we aim at characterizing realistic antenna radiation patterns, motivated by the need to properly capture mmWave propagation behaviors and understand the achievable performance in 5G cellular scenarios. In particular, we highlight how the performance changes with the radiation pattern used. Consequently, we conclude that it is crucial to use an accurate and realistic radiation model for proper performance assessment and system dimensioning.

Connected through hyperedge HE-1 (induced by source paper "machine learning aided design of thinned antenna arrays for optimized network level performance"):
  with members:
    - "enabling simulation based optimization through machine learning a case study on antenna design"
    - "enabling fdd massive mimo through deep learning based channel prediction"
    - "deepmimo a generic deep learning dataset for millimeter wave and massive mimo applications"
    - "learning to optimize training deep neural networks for interference management"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-2 (induced by source paper "a tutorial on beam management for 3gpp nr at mmwave frequencies"):
  with members:
    - "statistical blockage modeling and robustness of beamforming in millimeter wave systems"
    - "adaptive beamwidth selection for contention based access periods in millimeter wave wlans"
    - "standalone and non standalone beam management for 3gpp nr at mmwaves"
    - "initial access frameworks for 3gpp nr at mmwave frequencies"
    - "on the beamformed broadcast signaling for millimeter wave cell discovery performance analysis and design insight"
    - "caching meets millimeter wave communications for enhanced mobility management in 5g networks"
    - "improved handover through dual connectivity in 5g mmwave mobile networks"
    - "5g millimeter wave cellular system capacity with fully digital beamforming"

Connected through hyperedge HE-3 (induced by source paper "enabling simulation based optimization through machine learning a case study on antenna design"):
  with members:
    - "enabling fdd massive mimo through deep learning based channel prediction"
    - "deepmimo a generic deep learning dataset for millimeter wave and massive mimo applications"
    - "learning to optimize training deep neural networks for interference management"
    - "a very brief introduction to machine learning with applications to communication systems"
    - "an introduction to deep learning for the physical layer"
    - "understanding noise and interference regimes in 5g millimeter wave cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-4 (induced by source paper "performance assessment of mimo precoding on realistic mmwave channels"):
  with members:
    - "understanding noise and interference regimes in 5g millimeter wave cellular networks"
    - "massive mimo for next generation wireless systems"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-5 (induced by source paper "stochastic geometric coverage analysis in mmwave cellular networks with realistic channel and antenna radiation models"):
  with members:
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "coverage and connectivity analysis of millimeter wave vehicular networks"
    - "millimeter wave interference avoidance via building aware associations"
    - "modeling and analyzing millimeter wave cellular systems"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "stochastic geometric coverage analysis in mmwave cellular networks with a realistic channel model"
    - "correction factor for analysis of mimo wireless networks with highly directional beamforming"
    - "revisiting frequency reuse towards supporting ultra reliable ubiquitous rate communication"

Connected through hyperedge HE-6 (induced by source paper "impact of channel models on the end to end performance of mmwave cellular networks"):
  with members:
    - "end to end simulation of 5g mmwave networks"
    - "modeling and analyzing millimeter wave cellular systems"
    - "improved handover through dual connectivity in 5g mmwave mobile networks"
    - "ns 3 implementation of the 3gpp mimo channel model for frequency spectrum above 6 ghz"
    - "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"
    - "rapid fading due to human blockage in pedestrian crowds at 5g millimeter wave frequencies"
    - "transport layer performance in 5g mmwave cellular"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"

Connected through hyperedge HE-7 (induced by source paper "end to end simulation of integrated access and backhaul at mmwaves"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "end to end simulation of 5g mmwave networks"
    - "max min rates in self backhauled millimeter wave cellular networks"
    - "distributed path selection strategies for integrated access and backhaul at mmwaves"
    - "initial access frameworks for 3gpp nr at mmwave frequencies"
    - "integrated mmwave access and backhaul in 5g bandwidth partitioning and downlink analysis"
    - "frame structure design and analysis for millimeter wave cellular systems"
    - "5g wireless backhaul networks challenges and research advances"

Connected through hyperedge HE-8 (induced by source paper "multi sector and multi panel performance in 5g mmwave cellular networks"):
  with members:
    - "end to end simulation of 5g mmwave networks"
    - "tcp in 5g mmwave networks link level retransmissions and mp tcp"
    - "improved handover through dual connectivity in 5g mmwave mobile networks"
    - "ns 3 implementation of the 3gpp mimo channel model for frequency spectrum above 6 ghz"
    - "5g cellular user equipment from theory to practical hardware design"
    - "performance comparison of dual connectivity and hard handover for lte 5g tight integration"
    - "understanding noise and interference regimes in 5g millimeter wave cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"

Question: Please tell me which class the center node 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)