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: "high reliability and low latency for vehicular networks challenges and solutions"
  Abstract: In recent years, wireless networks are undergoing the paradigm transformation from high-speed data rate to connecting everything, raising the development of Internet of things (IoT). As a typical scenario of IoT, vehicular networks have attracted extensive attentions from automotive and telecommunication industry, especially for ultra-reliable and low latency communication (URLLC) applications. However, the conventional wireless networks are mainly designed for promoting spectral efficiency, without paying sufficient attention to the URLLC requirements. To this end, this paper aims at investigating latency and reliability in vehicular networks. Specifically, we first present promising URLLC applications and requirements. Several performance evaluation methods are subsequently discussed from the viewpoints of physical and media access control layers. Taking advantage of these methods, the underlying transmission techniques and scheduling algorithms can be assessed efficiently and accurately. Finally, some promising solutions are presented in order to tackle potential challenges.

Connected through hyperedge HE-1 (induced by source paper "leveraging linear quadratic regulator cost and energy consumption for ultra reliable and low latency iot control systems"):
  with members:
    - "twin timescale radio resource management for ultra reliable and low latency vehicular networks"
    - "ultra reliable and low latency communications for connected vehicles challenges and solutions"
    - "wireless network design for control systems a survey"
    - "on the feasibility of wireless energy transfer using massive antenna arrays"
    - "rate cost tradeoffs in control"
    - "blocklength limited performance of relaying under quasi static rayleigh channels"
    - "source channel coding under energy delay and buffer constraints"
    - "lossy joint source channel coding in the finite blocklength regime"

Connected through hyperedge HE-2 (induced by source paper "joint frame design and resource allocation for ultra reliable and low latency vehicular networks"):
  with members:
    - "optimized power control for massive mimo with underlaid d2d communications"
    - "ultra reliable and low latency communications for connected vehicles challenges and solutions"
    - "superimposed pilots are superior for mitigating pilot contamination in massive mimo"
    - "a two stage allocation scheme for delay sensitive services in dense vehicular networks"
    - "generalized cross layer designs for generic half duplex multicarrier wireless networks with frequency reuse"
    - "reliable and efficient autonomous driving the need for heterogeneous vehicular networks"
    - "energy and spectral efficiency of very large multiuser mimo systems"
    - "information spectrum approach to second order coding rate in channel coding"

Connected through hyperedge HE-3 (induced by source paper "a mobility aware vehicular caching scheme in content centric networks model and optimization"):
  with members:
    - "building transmission backbone for highway vehicular networks framework and analysis"
    - "throughput of infrastructure based cooperative vehicular networks"
    - "order optimal rate of caching and coded multicasting with random demands"
    - "throughput and energy efficiency analysis of small cell networks with multi antenna base stations"
    - "femtocaching and device to device collaboration a new architecture for wireless video distribution"

Connected through hyperedge HE-4 (induced by source paper "ultra reliable low latency vehicle to infrastructure wireless communications with edge computing"):
  with members:
    - "distributed federated learning for ultra reliable low latency vehicular communications"
    - "integrated millimeter wave and sub 6 ghz wireless networks a roadmap for ultra reliable low latency communications"
    - "spatio temporal motifs for optimized vehicle to vehicle v2v communications"
    - "collaborative mobile edge computing in 5g networks new paradigms scenarios and challenges"
    - "user association for load balancing in heterogeneous 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)