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: "context information based initial cell search for millimeter wave 5g cellular networks"
  Abstract: Millimeter wave (mmWave) communication is envisioned as a cornerstone to fulfill the data rate requirements for fifth generation (5G) cellular networks. In mmWave communication, beamforming is considered as a key technology to combat the high path-loss, and unlike in conventional microwave communication, beamforming may be necessary even during initial access/cell search. Among the proposed beamforming schemes for initial cell search, analog beamforming is a power efficient approach but suffers from its inherent search delay during initial access. In this work, we argue that analog beamforming can still be a viable choice when context information about mmWave base stations (BS) is available at the mobile station (MS). We then study how the performance of analog beamforming degrades in case of angular errors in the available context information. Finally, we present an analog beamforming receiver architecture that uses multiple arrays of Phase Shifters and a single RF chain to combat the effect of angular errors, showing that it can achieve the same performance as hybrid beamforming.

Connected through hyperedge HE-1 (induced by source paper "a tutorial on beam management for 3gpp nr at mmwave frequencies"):
  with members:
    - "statistical blockage modeling and robustness of beamforming in millimeter wave systems"
    - "adaptive beamwidth selection for contention based access periods in millimeter wave wlans"
    - "standalone and non standalone beam management for 3gpp nr at mmwaves"
    - "study of realistic antenna patterns in 5g mmwave cellular scenarios"
    - "initial access frameworks for 3gpp nr at mmwave frequencies"
    - "on the beamformed broadcast signaling for millimeter wave cell discovery performance analysis and design insight"
    - "caching meets millimeter wave communications for enhanced mobility management in 5g networks"
    - "improved handover through dual connectivity in 5g mmwave mobile networks"

Connected through hyperedge HE-2 (induced by source paper "fast and reliable initial access with random beamforming for mmwave networks"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "reducing initial cell search latency in mmwave networks"
    - "directional cell search delay analysis for cellular networks with static users"
    - "design and analysis of initial access in millimeter wave cellular networks"
    - "initial access in 5g mmwave cellular networks"
    - "performance analysis of outdoor mmwave ad hoc networks"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"
    - "context information for fast cell discovery in mm wave 5g networks"

Connected through hyperedge HE-3 (induced by source paper "online learning for position aided millimeter wave beam training"):
  with members:
    - "mmwave beam prediction with situational awareness a machine learning approach"
    - "deep learning coordinated beamforming for highly mobile millimeter wave systems"
    - "beam training and data transmission optimization in millimeter wave vehicular networks"
    - "robust location aided beam alignment in millimeter wave massive mimo"
    - "efficient beam alignment in millimeter wave systems using contextual bandits"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "statistical location and rotation aware beam search for millimeter wave networks"):
  with members:
    - "improved handover through dual connectivity in 5g mmwave mobile networks"
    - "comparative analysis of initial access techniques in 5g mmwave cellular networks"
    - "context information for fast cell discovery in mm wave 5g networks"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "coding the beams improving beamforming training in mmwave communication system"

Connected through hyperedge HE-5 (induced by source paper "on the beamformed broadcast signaling for millimeter wave cell discovery performance analysis and design insight"):
  with members:
    - "fast cell discovery in mm wave 5g networks with context information"
    - "design and analysis of initial access in millimeter wave cellular networks"
    - "comparative analysis of initial access techniques in 5g mmwave cellular networks"
    - "beam searching and transmission scheduling in millimeter wave communications"
    - "context information for fast cell discovery in mm wave 5g networks"
    - "millimeter wave cellular networks a mac layer perspective"
    - "directional cell discovery in millimeter wave cellular networks"
    - "coverage and rate analysis for millimeter wave cellular networks"

Connected through hyperedge HE-6 (induced by source paper "fast cell discovery in mm wave 5g networks with context information"):
  with members:
    - "adaptive beamwidth selection for contention based access periods in millimeter wave wlans"
    - "spectrum sharing in mmwave cellular networks via cell association coordination and beamforming"
    - "comparative analysis of initial access techniques in 5g mmwave cellular networks"
    - "beamforming tradeoffs for initial ue discovery in millimeter wave mimo systems"
    - "beam searching and transmission scheduling in millimeter wave communications"
    - "context information for fast cell discovery in mm wave 5g networks"
    - "millimeter wave cellular networks a mac layer perspective"
    - "directional cell discovery in millimeter wave cellular networks"

Connected through hyperedge HE-7 (induced by source paper "statistical approaches for initial access in mmwave 5g systems"):
  with members:
    - "reducing initial cell search latency in mmwave networks"
    - "fast cell discovery in mm wave 5g networks with context information"
    - "design and analysis of initial access in millimeter wave cellular networks"
    - "initial access in 5g mmwave cellular networks"
    - "context information for fast cell discovery in mm wave 5g networks"
    - "directional cell discovery in millimeter wave cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-8 (induced by source paper "inverse multipath fingerprinting for millimeter wave v2i beam alignment"):
  with members:
    - "millimeter wave beam alignment large deviations analysis and design insights"
    - "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"
    - "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)