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: "capacity bounds for a class of interference relay channels"
  Abstract: The capacity of a class of interference relay channels (IRCs)—the injective semideterministic IRC where the relay can only observe one of the sources—is investigated. We first derive a novel outer bound and two inner bounds which are based on a careful use of each of the available cooperative strategies together with the adequate interference decoding technique. The outer bound extends Telatar and Tse’s work, whereas the inner bounds contain several known results in the literature. Our main result is the characterization of the capacity region of the Gaussian class of IRCs studied within a fixed number of bits per dimension, constant gap. The proof relies on the use of the different cooperative strategies in specific SNR regimes due to their complexity. As a matter of fact, this issue reveals the complex nature of the Gaussian IRC where the combination of a single coding scheme for the Gaussian relay and interference channel may not lead to a good coding scheme for this problem, even when the focus is only on capacity within a constant gap over all possible fading statistics.

Connected through hyperedge HE-1 (induced by source paper "approximate capacity of fast fading interference channels with no instantaneous csit"):
  with members:
    - "cooperation for interference management a gdof perspective"
    - "capacity results for binary fading interference channels with delayed csit"
    - "ergodic interference alignment with delayed feedback"
    - "degrees of freedom region of the mimo interference channel with output feedback and delayed csit"
    - "the capacity region of the wireless ergodic fading interference channel with partial csit to within one bit"
    - "wireless network information flow a deterministic approach"
    - "ergodic fading interference channels sum capacity and separability"
    - "interference channels with source cooperation"

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)