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: "saturation throughput delay analysis of ieee 802 11 dcf in fading channel"
  Abstract: In this paper, we analytically analyzed the impact of an error-prone channel over all performance measures in a trafficsaturated IEEE 802.11 WLAN. We calculated station's transmission probability by using the modified Markov chain model of the backoff window size that considers the frame-error rates and maximal allowable number of retransmission attempts. The frame error rate has a significant impact over theoretical throughput, mean frame delay, and discard probability. The peak throughput of a WLAN is insensitive of the maximal number of retransmissions. Discard probabilities are insensitive to the station access method, Basic or RTS/CTS.

Connected through hyperedge HE-1 (induced by source paper "probabilistic modeling of ieee 802 11 distributed coordination functions"):
  with members:
    - "saturation throughput analysis of ieee 802 11 in the presence of non ideal transmission channel and capture effects"

Connected through hyperedge HE-2 (induced by source paper "stability and queueing analysis of ieee 802 11 distributed coordination function"):
  with members:
    - "analysis of non persistent csma protocols with exponential backoff scheduling"

Connected through hyperedge HE-3 (induced by source paper "performance analysis of markov modulated 1 persistent csma ca protocols with exponential backoff scheduling"):
  with members:
    - "analysis of non persistent csma protocols with exponential backoff scheduling"

Connected through hyperedge HE-4 (induced by source paper "saturation throughput analysis of ieee 802 11b wireless local area networks under high interference considering capture effects"):
  with members:
    - "saturation throughput analysis of ieee 802 11 in the presence of non ideal transmission channel and capture effects"

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)