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: "coverage and rate of downlink sequence transmissions with reliability guarantees"
  Abstract: Real-time distributed control is a promising application of 5G in which communication links should satisfy certain reliability guarantees. In this letter, we derive closed-form maximum average rate when a device (e.g. industrial machine) downloads a sequence of n operational commands through cellular connection, while guaranteeing a certain coverage for all n messages. The result is based on novel closed-form n- successive coverage bounds. The proposed lower bound provides a simple approximation that is increasingly accurate in the high reliability region. For moderate coverage, a linear combination of the proposed bounds enables deriving a tractable approximation. Both techniques can be utilized for calculating the maximum average rate with and without using adaptive modulation and coding (AMC).

Connected through hyperedge HE-1 (induced by source paper "downlink performance of dense antenna deployment to distribute or concentrate"):
  with members:
    - "massive mimo versus small cell systems spectral and energy efficiency comparison"
    - "optimal design of energy efficient multi user mimo systems is massive mimo the answer"
    - "downlink mimo hetnets modeling ordering results and performance analysis"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "ultra reliable and low latency vehicular communication using optical camera communications"):
  with members:
    - "ultra reliable and low latency vehicular transmission an extreme value theory approach"
    - "ultra reliable low latency vehicle to infrastructure wireless communications with edge computing"
    - "d2d based v2v communications with latency and reliability constraints"

Connected through hyperedge HE-3 (induced by source paper "ultra reliable and low latency wireless communication tail risk and scale"):
  with members:
    - "ultra reliable communication in 5g mmwave networks a risk sensitive approach"
    - "federated learning for ultra reliable low latency v2v communications"
    - "ultra reliable and low latency vehicular transmission an extreme value theory approach"
    - "urllc embb slicing to support vr multimodal perceptions over wireless cellular systems"
    - "network slicing for ultra reliable low latency communication in industry 4 0 scenarios"
    - "proactive edge computing in latency constrained fog networks"
    - "fine grained reliability for v2v communications around suburban and urban intersections"
    - "introduction to ultra reliable and low latency communications in 5g"

Connected through hyperedge HE-4 (induced by source paper "urllc embb slicing to support vr multimodal perceptions over wireless cellular systems"):
  with members:
    - "minimizing latency to support vr social interactions over wireless cellular systems via bandwidth allocation"
    - "5g wireless network slicing for embb urllc and mmtc a communication theoretic view"
    - "toward low latency and ultra reliable virtual reality"
    - "towards 5g enabled tactile robotic telesurgery"
    - "revisiting frequency reuse towards supporting ultra reliable ubiquitous rate communication"
    - "energy efficient resource allocation for mobile edge computing based augmented reality applications"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"
    - "user centric mobility management in ultra dense cellular networks under spatio temporal dynamics"

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)