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: "throughput optimal beam alignment in millimeter wave networks"
  Abstract: Millimeter wave communications rely on narrow-beam transmissions to cope with the strong signal attenuation at these frequencies, thus demanding precise beam alignment between transmitter and receiver. The communication overhead incurred to achieve beam alignment may become a severe impairment in mobile networks. This paper addresses the problem of optimizing beam alignment acquisition, with the goal of maximizing throughput. Specifically, the algorithm jointly determines the portion of time devoted to beam alignment acquisition, as well as, within this portion of time, the optimal beam search parameters, using the framework of Markov decision processes. It is proved that a bisection search algorithm is optimal, and that it outperforms exhaustive and iterative search algorithms proposed in the literature. The duration of the beam alignment phase is optimized so as to maximize the overall throughput. The numerical results show that the throughput, optimized with respect to the duration of the beam alignment phase, achievable under the exhaustive algorithm is 88.3% lower than that achievable under the bisection algorithm. Similarly, the throughput achievable by the iterative search algorithm for a division factor of 4 and 8 is, respectively, 12.8% and 36.4% lower than that achievable by the bisection algorithm.

Connected through hyperedge HE-1 (induced by source paper "on optimal multi user beam alignment in millimeter wave wireless systems"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "active learning and csi acquisition for mmwave initial alignment"
    - "optimal beam sweeping and communication in mobile 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-2 (induced by source paper "second best beam alignment via bayesian multi armed bandits"):
  with members:
    - "active learning and csi acquisition for mmwave initial alignment"
    - "energy efficient interactive beam alignment for millimeter wave networks"
    - "coded energy efficient beam alignment for millimeter wave networks"
    - "optimal beam sweeping and communication in mobile millimeter wave networks"
    - "efficient beam alignment in millimeter wave systems using contextual bandits"
    - "design and analysis of initial access in millimeter wave cellular networks"
    - "the impact of beamwidth on temporal channel variation in vehicular channels and its implications"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-3 (induced by source paper "efficient beam alignment for mmwave single carrier systems with hybrid mimo transceivers"):
  with members:
    - "single carrier modulation versus ofdm for millimeter wave wireless mimo"
    - "frequency domain compressive channel estimation for frequency selective hybrid mmwave mimo systems"
    - "on the ergodic rate lower bounds with applications to massive mimo"
    - "millimeter wave mimo channel estimation using overlapped beam patterns and rate adaptation"
    - "a robust time domain beam alignment scheme for multi user wideband mmwave systems"
    - "robust nonnegative sparse recovery and the nullspace property of 0 1 measurements"
    - "channel estimation for hybrid architecture based wideband millimeter wave systems"
    - "tracking mm wave channel dynamics fast beam training strategies under mobility"

Connected through hyperedge HE-4 (induced by source paper "energy efficient interactive beam alignment for millimeter wave networks"):
  with members:
    - "coded energy efficient beam alignment for millimeter wave networks"
    - "optimal beam sweeping and communication in mobile millimeter wave networks"
    - "on the temporal effects of mobile blockers in urban millimeter wave cellular scenarios"
    - "inverse multipath fingerprinting for millimeter wave v2i beam alignment"
    - "compressive channel estimation and tracking for large arrays in mm wave picocells"
    - "design and analysis of initial access in millimeter wave cellular networks"
    - "beamforming tradeoffs for initial ue discovery in millimeter wave mimo systems"
    - "the impact of beamwidth on temporal channel variation in vehicular channels and its implications"

Connected through hyperedge HE-5 (induced by source paper "optimal beam sweeping and communication in mobile millimeter wave networks"):
  with members:
    - "inverse multipath fingerprinting for millimeter wave v2i beam alignment"
    - "compressive channel estimation and tracking for large arrays in mm wave picocells"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "the impact of beamwidth on temporal channel variation in vehicular channels and its implications"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-6 (induced by source paper "coded energy efficient beam alignment for millimeter wave networks"):
  with members:
    - "optimal beam sweeping and communication in mobile millimeter wave networks"
    - "linear block coding for efficient beam discovery in millimeter wave communication networks"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-7 (induced by source paper "directional cell search delay analysis for cellular networks with static users"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "design and analysis of initial access in millimeter wave cellular networks"
    - "initial access in 5g mmwave cellular networks"
    - "comparative analysis of initial access techniques in 5g mmwave cellular networks"
    - "massive mimo ten myths and one critical question"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "downlink cellular network analysis with multi slope path loss models"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"

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.IT(Information Theory)