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: "boosting spatial reuse via multiple path multihop scheduling for directional mmwave wpans"
  Abstract: With huge unlicensed bandwidth available in most parts of the world, millimeter-wave (mmWave) communications in the 60-GHz band has been considered as one of the most promising candidates to support multigigabit wireless services. Due to high propagation loss of mmWave channels, beamforming is likely to be adopted as an essential technique. Consequently, transmission in the 60-GHz band is inherently directional. Directivity enables concurrent transmissions (spatial reuse), which can be fully exploited to improve network capacity. In this paper, we propose a multipath multihop scheduling scheme, which is known as multipath multihop (MPMH), for mmWave wireless personal area networks (WPANs), where the traffic across links of low channel quality is transmitted through multiple paths of multiple hops to unleash the potential of spatial reuse. We formulate the problem of MPMH as a mixed-integer linear program (MILP), which is generally NP-hard. To enable the implementation of the multipath multihop transmission in practice, we propose a heuristic scheme including path selection, traffic distribution, and MPMH to efficiently solve the formulated problem. Finally, through extensive simulations, we demonstrate that MPMH achieves near-optimal network performance in terms of transmission delay and throughput and enhances network performance significantly, compared with existing protocols.

Connected through hyperedge HE-1 (induced by source paper "energy efficient power control of train ground mmwave communication for high speed trains"):
  with members:
    - "device to device communications enabled energy efficient multicast scheduling in mmwave small cells"
    - "ultra reliable communication in 5g mmwave networks a risk sensitive approach"
    - "positioning of high speed trains using 5g new radio synchronization signals"
    - "joint power allocation and beamforming for non orthogonal multiple access noma in 5g millimeter wave communications"
    - "hierarchical codebook design for beamforming training in millimeter wave communication"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "coding the beams improving beamforming training in mmwave communication system"

Connected through hyperedge HE-2 (induced by source paper "coalition game based full duplex concurrent scheduling in millimeter wave wireless backhaul network"):
  with members:
    - "device to device communications enabled energy efficient multicast scheduling in mmwave small cells"
    - "qos aware full duplex concurrent scheduling for millimeter wave wireless backhaul networks"
    - "full duplex amplify and forward relaying power and location optimization"
    - "hierarchical codebook design for beamforming training in millimeter wave communication"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "in band full duplex wireless challenges and opportunities"

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)