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: "performance analysis of ieee 802 11ad mac protocol"
  Abstract: IEEE 802.11ad specifies a hybrid medium access control (MAC) protocol consisting of contention as well as non-contention-based channel access mechanisms. It also employs directional antennas to compensate for the high free-space path loss observed in 60 GHz frequency band. Therefore, it significantly differs from other IEEE 802.11(b/g/n/ac) MAC protocols and thus requires new methods to analyze its performance. We propose a new analytical model for performance analysis of IEEE 802.11ad employing a 3-D Markov chain considering all the features of IEEE 802.11ad medium access mechanisms including the presence of non-contention access and the different number of sectors due to the use of directional antennas. We show that the number of sectors has a high impact on the network throughput. We show that the MAC packet delay is significantly affected by the duration of the contention period. Our results indicate that a suitable choice of the number of sectors and contention period can improve the channel utilization and MAC delay performance.

Connected through hyperedge HE-1 (induced by source paper "analyzing the tradeoffs in using millimeter wave directional links for high data rate tactile internet applications"):
  with members:
    - "adaptive beamwidth selection for contention based access periods in millimeter wave wlans"
    - "low latency heterogeneous networks with millimeter wave communications"
    - "millimeter wave beam alignment large deviations analysis and design insights"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "realizing the tactile internet haptic communications over next generation 5g cellular networks"
    - "low latency millimeter wave communications traffic dispersion or network densification"
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"
    - "achieving ultra low latency in 5g millimeter wave cellular networks"

Connected through hyperedge HE-2 (induced by source paper "association blockage and handoffs in ieee 802 11ad based 60 ghz picocells a closer look"):
  with members:
    - "agile millimeter wave networks with provable guarantees"
    - "60 ghz outdoor urban measurement study of the feasibility of multi gbps mm wave cellular networks"
    - "tracking mm wave channel dynamics fast beam training strategies under mobility"
    - "60 ghz mac standardization progress and way forward"
    - "60 ghz multi gigabit indoor wlans dream or reality"

Connected through hyperedge HE-3 (induced by source paper "an analytical model for cbap allocations in ieee 802 11ad"):
  with members:
    - "beam searching and transmission scheduling in millimeter wave communications"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-4 (induced by source paper "performance analysis of integrated sub 6 ghz millimeter wave wireless local area networks"):
  with members:
    - "joint millimeter wave and microwave resources allocation in cellular networks with dual mode base stations"

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.NI(Networking and Internet Architecture)