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: "ultra reliable and low latency communications for connected vehicles challenges and solutions"
  Abstract: With the rapid development of communications and computing, the concept of connected vehicles emerges to improve driving safety, traffic efficiency and infotainment experience. Due to the limited capabilities of sensors and information processing on a single vehicle, vehicular networks (VNETs) play a vital role for the realization of connected vehicles. To achieve the closer cooperation on the road, ultra-reliable and low-latency communications (URLLCs) become the indispensable components of future VNETs. However, traditional wireless networks are designed with the objective of maximizing spectral and energy efficiency regardless of adequate consideration of URLLCs. To this end, this article investigates the challenges and solutions of conceiving URLLC VNETs dedicated for connected vehicles. Specifically, the underlying application scenarios are first presented with various vehicular communication patterns. Then, the URLLC requirements and potential challenges are discussed for VNETs. We also discuss the solutions to establish URLLC VNETs from the aspects of physical and media access control layers, including the optimization frameworks for latency and reliability, as well as the case studies of employing such frameworks. Finally, several open research directions are pointed out.

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"
    - "wireless network design for control systems a survey"
    - "high reliability and low latency for vehicular networks challenges and solutions"
    - "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"
    - "superimposed pilots are superior for mitigating pilot contamination in massive mimo"
    - "a two stage allocation scheme for delay sensitive services in dense vehicular networks"
    - "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"

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)