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: "wireless channel dynamics and robustness for ultra reliable low latency communications"
  Abstract: Interactive, immersive and critical applications demand ultra-reliable low-latency communication (URLLC). To build wireless communication systems that can support these applications, understanding the characteristics of the wireless medium is paramount. Although wireless channel characteristics and dynamics have been extensively studied, it is important to revisit these concepts in the context of the strict demands of low latency and ultra-reliability. In this paper, we bring a modeling approach from robust control to wireless communication -- the wireless channel characteristics are given a nominal model around which we allow for some quantified uncertainty. We propose certain key "directions" along which to bound model uncertainty that are relevant to URLLC. For the nominal model, we take an in-depth look at wireless channel characteristics such as spatial and temporal correlations based on Jakes' model. Contrary to what has been claimed in the literature, we find that standard Rayleigh fading processes are not bandlimited. This has significant implications on the predictability of channels. We also find that under reasonable conditions the spatial correlation of channels provide a fading distribution that is not too far off from an independent spatial fading model. Additionally, we look at the impact of these channel models on cooperative communication based systems. We find that while spatial-diversity-based techniques are necessary to combat the adverse effects of fading, time-diversity-based techniques are necessary to be robust against unmodeled errors. Robust URLLC systems need to operate with both an SNR margin and a time/repetition margin.

Connected through hyperedge HE-1 (induced by source paper "ultra reliable and low latency communications using proactive multi cell association"):
  with members:
    - "resource allocation and harq optimization for urllc traffic in 5g wireless networks"
    - "reliable transmission of short packets through queues and noisy channels under latency and peak age violation guarantees"
    - "energy latency tradeoff in ultra reliable low latency communication with retransmissions"
    - "joint uplink and downlink resource configuration for ultra reliable and low latency communications"
    - "a statistical learning approach to ultra reliable low latency communication"
    - "heterogeneous networks with power domain noma coverage throughput and power allocation analysis"
    - "cross layer optimization for ultra reliable and low latency radio access networks"
    - "fundamentals of the downlink green coverage and energy efficiency in heterogeneous networks"

Connected through hyperedge HE-2 (induced by source paper "wireless access in ultra reliable low latency communication urllc"):
  with members:
    - "how reliable and capable is multi connectivity"
    - "improving network availability of ultra reliable and low latency communications with multi connectivity"
    - "packet duplication in dual connectivity enabled 5g wireless networks overview and challenges"
    - "massive mimo for ultra reliable communications with constellations for dual coherent noncoherent detection"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "energy latency tradeoff in ultra reliable low latency communication with retransmissions"
    - "ultra reliable and low latency communications in 5g downlink physical layer aspects"
    - "short packet structure for ultra reliable machine type communication tradeoff between detection and decoding"

Connected through hyperedge HE-3 (induced by source paper "a statistical learning approach to ultra reliable low latency communication"):
  with members:
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "a very brief introduction to machine learning with applications to communication systems"
    - "wireless access in ultra reliable low latency communication urllc"
    - "wireless channel modeling perspectives for ultra reliable low latency communications"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "ultra reliable communication in 5g wireless systems"

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)