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: "millimeter wave beam alignment large deviations analysis and design insights"
  Abstract: In millimeter wave cellular communication, fast and reliable beam alignment via beam training is crucial to harvest sufficient beamforming gain for the subsequent data transmission. In this paper, we establish fundamental limits in beam-alignment performance under both the exhaustive search and the hierarchical search that adopts multi-resolution beamforming codebooks, accounting for time-domain training overhead. Specifically, we derive lower and upper bounds on the probability of misalignment for an arbitrary level in the hierarchical search, based on a single-path channel model. Using the method of large deviations, we characterize the decay rate functions of both bounds and show that the bounds coincide as the training sequence length goes large. We go on to characterize the asymptotic misalignment probability of both the hierarchical and exhaustive search, and show that the latter asymptotically outperforms the former, subject to the same training overhead and codebook resolution. We show via numerical results that this relative performance behavior holds in the non-asymptotic regime. Moreover, the exhaustive search is shown to achieve significantly higher worst case spectrum efficiency than the hierarchical search, when the pre-beamforming signal-to-noise ratio (SNR) is relatively low. This paper hence implies that the exhaustive search is more effective for users situated further from base stations, as they tend to have low SNR.

Connected through hyperedge HE-1 (induced by source paper "analyzing the tradeoffs in using millimeter wave directional links for high data rate tactile internet applications"):
  with members:
    - "adaptive beamwidth selection for contention based access periods in millimeter wave wlans"
    - "low latency heterogeneous networks with millimeter wave communications"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "realizing the tactile internet haptic communications over next generation 5g cellular networks"
    - "low latency millimeter wave communications traffic dispersion or network densification"
    - "performance analysis of ieee 802 11ad mac protocol"
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"
    - "achieving ultra low latency in 5g millimeter wave cellular networks"

Connected through hyperedge HE-2 (induced by source paper "channel estimation and hybrid beamforming for reconfigurable intelligent surfaces assisted thz communications"):
  with members:
    - "secure wireless communication via intelligent reflecting surface"
    - "capacity characterization for intelligent reflecting surface aided mimo communication"
    - "intelligent reflecting surface meets ofdm protocol design and rate maximization"
    - "intelligent reflecting surface design for mimo system by maximizing sum path gains"
    - "channel estimation and transmission for intelligent reflecting surface assisted thz communications"
    - "energy efficient multi user miso communication using low resolution large intelligent surfaces"
    - "achievable rate maximization by passive intelligent mirrors"
    - "intelligent reflecting surface enhanced wireless network via joint active and passive beamforming"

Connected through hyperedge HE-3 (induced by source paper "a two stage beam alignment framework for hybrid mmwave distributed antenna systems"):
  with members:
    - "on the performance gain of noma over oma in uplink communication systems"
    - "a distributed multi rf chain hybrid mmwave scheme for small cell systems"
    - "multi beam noma for hybrid mmwave systems"
    - "explore and eliminate optimized two stage search for millimeter wave beam alignment"
    - "modeling and analyzing millimeter wave cellular systems"
    - "multi user precoding and channel estimation for hybrid millimeter wave systems"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-4 (induced by source paper "interleaved training and training based transmission design for hybrid massive antenna downlink"):
  with members:
    - "codebook based hybrid precoding for millimeter wave multiuser systems"
    - "performance scaling law for multi cell multi user massive mimo"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "hybrid digital and analog beamforming design for large scale antenna arrays"
    - "beam searching and transmission scheduling in millimeter wave communications"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "turbo like beamforming based on tabu search algorithm for millimeter wave massive mimo systems"
    - "hybrid analog digital channel estimation and beamforming training throughput tradeoff"

Connected through hyperedge HE-5 (induced by source paper "explore and eliminate optimized two stage search for millimeter wave beam alignment"):
  with members:
    - "hybrid beamforming where should the analog power amplifiers be placed"
    - "millimeter wave mimo channel estimation using overlapped beam patterns and rate adaptation"
    - "inverse multipath fingerprinting for millimeter wave v2i beam alignment"
    - "hierarchical codebook design for beamforming training in millimeter wave communication"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "codebook design for millimeter wave channel estimation with hybrid precoding structure"
    - "28 ghz millimeter wave ultrawideband small scale fading models in wireless channels"
    - "directional cell discovery in millimeter wave cellular networks"

Connected through hyperedge HE-6 (induced by source paper "a high accuracy adaptive beam training algorithm for mmwave communication"):
  with members:
    - "millimeter wave mimo channel estimation using overlapped beam patterns and rate adaptation"
    - "hierarchical codebook design for beamforming training in millimeter wave communication"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "hybrid digital and analog beamforming design for large scale antenna arrays"
    - "training beam sequence design for millimeter wave mimo systems a pomdp framework"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "what will 5g be"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-7 (induced by source paper "beam management for millimeter wave beamspace mu mimo systems"):
  with members:
    - "beamspace su mimo for future millimeter wave wireless communications"
    - "beam searching and transmission scheduling in millimeter wave communications"
    - "millimeter wave cellular networks a mac layer perspective"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "transmission capacity of ad hoc networks with spatial diversity"

Connected through hyperedge HE-8 (induced by source paper "inverse multipath fingerprinting for millimeter wave v2i beam alignment"):
  with members:
    - "compressive channel estimation and tracking for large arrays in mm wave picocells"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "context information based initial cell search for millimeter wave 5g cellular networks"
    - "the impact of beamwidth on temporal channel variation in vehicular channels and its implications"
    - "millimeter wave beamforming for wireless backhaul and access in small cell 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)