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: "delay and backlog analysis for 60 ghz wireless networks"
  Abstract: To meet the ever-increasing demands on higher throughput and better network delay performance, 60 GHZ networking is proposed as a promising solution for the next generation of wireless communications. To successfully deploy such networks, its important to understand their performance first. However, due to the unique fading characteristic of the 60 GHz channel, the characterization of the corresponding service process, offered by the channel, using the conventional methodologies may not be tractable. In this work, we provide an alternative approach to derive a closed-form expression that characterizes the cumulative service process of the 60 GHz channel in terms of the moment generating function (MGF) of its instantaneous channel capacity. We then use this expression to derive probabilistic upper bounds on the backlog and delay that are experienced by a flow traversing this network, using results from the MGF-based network calculus. The computed bounds are validated using simulation. We provide numerical results for different networking scenarios and for different traffic and channel parameters and we show that the 60 GHz wireless network is capable of satisfying stringent quality-of-Service (QoS) requirements, in terms of network delay and reliability. With this analysis approach at hand, a larger scale 60 GHz network design and optimization is possible.

Connected through hyperedge HE-1 (induced by source paper "low latency heterogeneous networks with millimeter wave communications"):
  with members:
    - "achieving ultra low latency in 5g millimeter wave cellular networks"
    - "what will 5g be"

Connected through hyperedge HE-2 (induced by source paper "when mmwave communications meet network densification a scalable interference coordination perspective"):
  with members:
    - "downlink and uplink cell association with traditional macrocells and millimeter wave small cells"
    - "alternating minimization algorithms for hybrid precoding in millimeter wave mimo systems"
    - "device to device millimeter wave communications interference coverage rate and finite topologies"
    - "frequency selective hybrid precoding for limited feedback millimeter wave systems"
    - "hybrid millimeter wave systems a novel paradigm for hetnets"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "what will 5g be"

Connected through hyperedge HE-3 (induced by source paper "beamspace su mimo for future millimeter wave wireless communications"):
  with members:
    - "on the number of rf chains and phase shifters and scheduling design with hybrid analog digital beamforming"
    - "hybrid digital and analog beamforming design for large scale antenna arrays"
    - "beam searching and transmission scheduling in millimeter wave communications"
    - "millimeter wave cellular networks a mac layer perspective"
    - "a survey of millimeter wave mmwave communications for 5g opportunities and challenges"
    - "on the joint impact of beamwidth and orientation error on throughput in directional wireless poisson networks"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "spatially sparse precoding in millimeter wave mimo systems"

Connected through hyperedge HE-4 (induced by source paper "low latency millimeter wave communications traffic dispersion or network densification"):
  with members:
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"
    - "subspace estimation and decomposition for large millimeter wave mimo systems"
    - "achieving ultra low latency in 5g millimeter wave cellular networks"
    - "delay constrained video transmission quality driven resource allocation and scheduling"
    - "non asymptotic delay bounds for k l fork join systems and multi stage fork join networks"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-5 (induced by source paper "low rank tensor decomposition aided channel estimation for millimeter wave mimo ofdm systems"):
  with members:
    - "compressive channel estimation and tracking for large arrays in mm wave picocells"
    - "channel estimation for millimeter wave multiuser mimo systems via parafac decomposition"
    - "channel estimation for millimeter wave massive mimo with hybrid precoding over frequency selective fading channels"
    - "a comparison of mimo techniques in downlink millimeter wave cellular networks with hybrid beamforming"
    - "achievable rate of rician large scale mimo channels with transceiver hardware impairments"
    - "frequency selective hybrid precoding for limited feedback millimeter wave systems"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "spatially common sparsity based adaptive channel estimation and feedback for fdd massive mimo"

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.PF(Performance)