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: "frames in outdoor 802 11 wlans provide a hybrid binary symmetric packet erasure channel"
  Abstract: Corrupted frames with CRC errors potentially provide a useful channel through which we can transmit information. Using measurements taken in an outdoor environment, we demonstrate that for 802.11 wireless links the channel provided by corrupted frames alone (i.e. ignoring frames with PHY errors and frames received correctly) can be accurately modelled as a binary symmetric channel (BSC) provided appropriate pre- and post- processing is carried out. Also, the channel provided by corrupted frames and other frames combined can be accurately modelled as a hybrid binary symmetric/packet erasure channel. Importantly, we find that this hybrid channel offers capacity increases of more than 100% compared to a conventional packet erasure channel over a wide range of RSSIs. This is a striking observation as it indicates that the potential exists for significant network throughput gains if the information contained in 802.11 corrupted packets is exploited.

Connected through hyperedge HE-1 (induced by source paper "capacity achieving guessing random additive noise decoding"):
  with members:
    - "multi user guesswork and brute force security"
    - "on the origin of polar coding"
    - "the random coding bound is tight for the average linear code or lattice"
    - "guesswork large deviations and shannon entropy"
    - "brute force searching the typical set and guesswork"
    - "guessing a password over a wireless channel on the effect of noise non uniformity"
    - "guessing revisited a large deviations approach"
    - "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels"

Connected through hyperedge HE-2 (induced by source paper "multi destination aggregation with binary symmetric broadcast channel based coding in 802 11 wlans"):
  with members:
    - "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels"

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)