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: "using superposition codebooks and partial decode and forward in low snr parallel relay networks"
  Abstract: A new communication scheme for Gaussian parallel relay networks based on superposition coding and partial decoding at the relays is presented. Some specific examples are proposed in which two codebook layers are superimposed. The first-level codebook is constructed with symbols from a binary or ternary alphabet, while the second-level codebook is composed of codewords chosen with Gaussian symbols. The new communication scheme is a generalization of decode-and-forward, amplify-and-forward, and bursty-amplify-and-forward. The asymptotic low-signal-to-noise-ratio regime is studied using achievable rates and minimum energy-per-bit as performance metrics. It is shown that the new scheme outperforms all previously known schemes for some channels and parameter ranges.

Connected through hyperedge HE-1 (induced by source paper "alternate distributed beamforming for decode and forward multi relay systems using buffers"):
  with members:
    - "buffer aided relaying with adaptive link selection"
    - "recovering multiplexing loss through successive relaying using repetition coding"
    - "a simple cooperative diversity method based on network path selection"

Connected through hyperedge HE-2 (induced by source paper "outage effective capacity of buffer aided diamond relay systems using harq with incremental redundancy"):
  with members:
    - "effective capacity of retransmission schemes a recurrence relation approach"
    - "backlog and delay reasoning in harq systems"
    - "achievable rates for the fading half duplex single relay selection network using buffer aided relaying"
    - "statistical delay tradeoffs in buffer aided two hop wireless communication systems"
    - "buffer aided relaying with adaptive link selection fixed and mixed rate transmission"
    - "broadcast approaches to the diamond channel"

Connected through hyperedge HE-3 (induced by source paper "energy efficient communication over the unsynchronized gaussian diamond network"):
  with members:
    - "achievable rates for channels with deletions and insertions"
    - "energy efficient communication in the presence of synchronization errors"
    - "modeling and information rates for synchronization error channels"
    - "the approximate capacity of the gaussian n relay diamond network"
    - "asynchronous capacity per unit cost"
    - "on the deletion channel with small deletion probability"

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.IT(Information Theory)