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: "device to device communications enabled energy efficient multicast scheduling in mmwave small cells"
  Abstract: To keep pace with the rapid growth of mobile traffic demands, dense deployment of small cells in millimeter wave (mmWave) bands has become a promising candidate for next-generation wireless communication systems. With a greatly increased data rate from huge bandwidth of mmWave communications, energy consumption should be mitigated for higher energy efficiency. Due to content popularity, many content-based mobile applications can be supported by the multicast service. mmWave communications exploit directional antennas to overcome high path loss, and concurrent transmissions can be enabled for better multicast service. On the other hand, device-to-device (D2D) communications in physical proximity should be exploited to improve multicast performance. In this paper, we propose an energy-efficient multicast scheduling scheme, referred to as EMS, which utilizes both D2D communications and concurrent transmissions to achieve high energy efficiency. In EMS, a D2D path planning algorithm establishes multi-hop D2D transmission paths, and a concurrent scheduling algorithm allocates the links on the D2D paths into different pairings. Then, the transmission power of links is adjusted by the power control algorithm. Furthermore, we theoretically analyze the roles of D2D communications and concurrent transmissions in reducing energy consumption. Extensive simulations under various system parameters demonstrate the superior performance of EMS in terms of energy consumption compared with the state-of-the-art schemes. Furthermore, we also investigate the choice of the interference threshold to optimize network performance.

Connected through hyperedge HE-1 (induced by source paper "principal component analysis based broadband hybrid precoding for millimeter wave massive mimo systems"):
  with members:
    - "closed loop sparse channel estimation for wideband millimeter wave full dimensional mimo systems"
    - "periodic analog channel estimation aided beamforming for massive mimo systems"
    - "energy efficient multi user miso communication using low resolution large intelligent surfaces"
    - "wideband hybrid precoding for next generation backhaul fronthaul based on mmwave fd mimo"
    - "hybrid beamforming with selection for multiuser massive mimo systems"
    - "massive mimo channel estimation for millimeter wave systems via matrix completion"
    - "stochastic successive convex optimization for two timescale hybrid precoding in massive mimo"
    - "machine learning based hybrid precoding for mmwave mimo ofdm with dynamic subarray"

Connected through hyperedge HE-2 (induced by source paper "energy efficient power control of train ground mmwave communication for high speed trains"):
  with members:
    - "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"
    - "boosting spatial reuse via multiple path multihop scheduling for directional mmwave wpans"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "coding the beams improving beamforming training in mmwave communication system"

Connected through hyperedge HE-3 (induced by source paper "coalition game based full duplex concurrent scheduling in millimeter wave wireless backhaul network"):
  with members:
    - "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"
    - "boosting spatial reuse via multiple path multihop scheduling for directional mmwave wpans"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "in band full duplex wireless challenges and opportunities"

Connected through hyperedge HE-4 (induced by source paper "relay assisted and qos aware scheduling to overcome blockage in mmwave backhaul networks"):
  with members:
    - "on low resolution adcs in practical 5g millimeter wave massive mimo systems"
    - "exploiting multi hop relaying to overcome blockage in directional mmwave small cells"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "a survey of millimeter wave mmwave communications for 5g opportunities 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)