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: "on capacity and delay of multichannel wireless networks with infrastructure support"
  Abstract: In this paper, we propose a novel multichannel network with infrastructure support, which is called an   MC-IS   network, that has not been studied in the literature. To the best of our knowledge, we are the first to study such an   MC-IS   network. Our proposed   MC-IS   network has a number of advantages over three existing conventional networks: a single-channel wireless ad hoc network (called an   SC-AH   network), a multichannel wireless ad hoc network (called an   MC-AH   network), and a single-channel network with infrastructure support (called an   SC-IS   network). In particular, the   network capacity   of our proposed   MC-IS   network is   $\sqrt{n\log n}$   times higher than that of an   SC-AH   network and an   MC-AH   network and the same as that of an   SC-IS   network, where   $n$   is the number of nodes in the network. The   average delay   of our   MC-IS   network is   $\sqrt{\log n/n}$   times lower than that of an   SC-AH   network and an   MC-AH   network and   $\min\{C_{I},m\}$   times lower than the average delay of an   SC-IS   network, where   $C_{I}$   and   $m$   denote the number of channels dedicated for infrastructure communications and the number of interfaces mounted at each infrastructure node, respectively. Our analysis on an   MC-IS   network equipped with   omnidirectional antennas   has been extended to an   MC-IS   network equipped with   directional antennas   only, which are named as an   MC-IS-DA   network. We show that an   MC-IS-DA   network has an even lower delay of   $c/(\lfloor \text{2}\pi/\theta\rfloor\cdot C_{I})$   compared with an   SC-IS   network and our   MC-IS   network. For example, when   $C_{I}=\text{12}$   and   $\theta=\pi/\text{12}$  , an   MC-IS-DA   can further reduce the delay by 24 times lower than that of an   MC-IS   network and by 288 times lower than that of an   SC-IS   network.

Connected through hyperedge HE-1 (induced by source paper "capacity of cooperative vehicular networks with infrastructure support multi user case"):
  with members:
    - "towards a simple relationship to estimate the capacity of static and mobile wireless networks"

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)