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: "a tutorial on beam management for 3gpp nr at mmwave frequencies"
  Abstract: The millimeter wave (mmWave) frequencies offer the availability of huge bandwidths to provide unprecedented data rates to next-generation cellular mobile terminals. However, mmWave links are highly susceptible to rapid channel variations and suffer from severe free-space pathloss and atmospheric absorption. To address these challenges, the base stations and the mobile terminals will use highly directional antennas to achieve sufficient link budget in wide area networks. The consequence is the need for precise alignment of the transmitter and the receiver beams, an operation which may increase the latency of establishing a link, and has important implications for control layer procedures, such as initial access, handover and beam tracking. This tutorial provides an overview of recently proposed measurement techniques for beam and mobility management in mmWave cellular networks, and gives insights into the design of accurate, reactive and robust control schemes suitable for a 3GPP NR (NR) cellular network. We will illustrate that the best strategy depends on the specific environment in which the nodes are deployed, and give guidelines to inform the optimal choice as a function of the system parameters.

Connected through hyperedge HE-1 (induced by source paper "coverage analysis of uavs in millimeter wave networks a stochastic geometry approach"):
  with members:
    - "underlay drone cell for temporary events impact of drone height and aerial channel environments"
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "a stochastic model for uav networks positioned above demand hotspots in urban environments"
    - "coverage and connectivity analysis of millimeter wave vehicular networks"
    - "modeling and analyzing millimeter wave cellular systems"
    - "massive mimo for communications with drone swarms"
    - "backhaul for low altitude uavs in urban environments"

Connected through hyperedge HE-2 (induced by source paper "on optimal multi user beam alignment in millimeter wave wireless systems"):
  with members:
    - "active learning and csi acquisition for mmwave initial alignment"
    - "optimal beam sweeping and communication in mobile millimeter wave networks"
    - "throughput optimal beam alignment in millimeter wave networks"
    - "sectoring in multi cell massive mimo systems"
    - "resource sharing among mmwave cellular service providers in a vertically differentiated duopoly"
    - "comparative analysis of initial access techniques in 5g mmwave cellular networks"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-3 (induced by source paper "multi user provisioning in millimeter wave urban cellular networks"):
  with members:
    - "stochastic geometric coverage analysis in mmwave cellular networks with realistic channel and antenna radiation models"
    - "modeling and analyzing millimeter wave cellular systems"
    - "a comparison of mimo techniques in downlink millimeter wave cellular networks with hybrid beamforming"
    - "60 ghz outdoor urban measurement study of the feasibility of multi gbps mm wave cellular networks"
    - "millimeter wave cellular networks a mac layer perspective"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "joint spatial division and multiplexing for mm wave channels"

Connected through hyperedge HE-4 (induced by source paper "wireless edge computing with latency and reliability guarantees"):
  with members:
    - "distributed federated learning for ultra reliable low latency vehicular communications"
    - "machine learning at the wireless edge distributed stochastic gradient descent over the air"
    - "how reliable and capable is multi connectivity"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "coded federated computing in wireless networks with straggling devices and imperfect csi"
    - "ultra reliable communication in 5g mmwave networks a risk sensitive approach"
    - "on device federated learning via blockchain and its latency analysis"
    - "mmwave beam prediction with situational awareness a machine learning approach"

Connected through hyperedge HE-5 (induced by source paper "mac protocols for terahertz communication a comprehensive survey"):
  with members:
    - "on the reliability of wireless virtual reality at terahertz thz frequencies"
    - "on unified vehicular communications and radar sensing in millimeter wave and low terahertz bands"
    - "survey on terahertz nanocommunication and networking a top down perspective"
    - "end to end simulation of 5g mmwave networks"
    - "wireless terahertz system architectures for networks beyond 5g"
    - "terahertz technologies to deliver optical network quality of experience in wireless systems beyond 5g"
    - "slotted csma ca based energy efficient mac protocol design in nanonetworks"
    - "last meter indoor terahertz wireless access performance insights and implementation roadmap"

Connected through hyperedge HE-6 (induced by source paper "a distributed multi rf chain hybrid mmwave scheme for small cell systems"):
  with members:
    - "multi beam noma for hybrid mmwave systems"
    - "multi cell hybrid millimeter wave systems pilot contamination and interference mitigation"
    - "optimal resource allocation for power efficient mc noma with imperfect channel state information"
    - "millimeter wave mimo prototype measurements and experimental results"
    - "measurement results for millimeter wave pure los mimo channels"
    - "multi user precoding and channel estimation for hybrid millimeter wave systems"
    - "cell free massive mimo versus small cells"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"

Connected through hyperedge HE-7 (induced by source paper "a case for digital beamforming at mmwave"):
  with members:
    - "throughput analysis of massive mimo uplink with low resolution adcs"
    - "blind estimation of sparse broadband massive mimo channels with ideal and one bit adcs"
    - "5g millimeter wave cellular system capacity with fully digital beamforming"
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "hybrid architectures with few bit adc receivers achievable rates and energy rate tradeoffs"
    - "channel estimation in broadband millimeter wave mimo systems with few bit adcs"
    - "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"

Connected through hyperedge HE-8 (induced by source paper "an efficient requirement aware attachment policy for future millimeter wave vehicular networks"):
  with members:
    - "toward intelligent vehicular networks a machine learning framework"
    - "user association in massive mimo hetnets"
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "initial access in 5g mmwave cellular networks"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "millimeter wave channel modeling and cellular capacity evaluation"

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)