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 two stage allocation scheme for delay sensitive services in dense vehicular networks"
  Abstract: Driven by the rapid development of wireless communication system, more and more vehicular services can be efficiently supported via vehicle-to-everything (V2X) communications. In order to allocate radio resource with the reasonable implementation complexity in dense urban intersection, a two-stage allocation algorithm is proposed in this paper, whose main objective is to minimize delay and ensure reliability. In particular, as for the first stage, the allocation policy is based on traffic density information (TDI), which is different from utilizing channel state information (CSI) and queue state information (QSI) in the second stage. Moreover, in order to reflect the influence of TDI on delay, a macroscopic vehicular mobility model is employed in this paper. Simulation results show that the proposed algorithm can acquire an asymptotically optimal performance with the acceptable complexity.

Connected through hyperedge HE-1 (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"
    - "high reliability and low latency for vehicular networks challenges and solutions"
    - "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-2 (induced by source paper "twin timescale radio resource management for ultra reliable and low latency vehicular networks"):
  with members:
    - "on low resolution adcs in practical 5g millimeter wave massive mimo systems"
    - "fractional programming for communication systems part i power control and beamforming"
    - "physical layer authentication in mission critical mtc networks a security and delay performance analysis"
    - "cross layer optimization for ultra reliable and low latency radio access networks"
    - "low latency millimeter wave communications traffic dispersion or network densification"
    - "on the feasibility of wireless energy transfer using massive antenna arrays"
    - "blocklength limited performance of relaying under quasi static rayleigh channels"
    - "reliable and efficient autonomous driving the need for heterogeneous vehicular 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)