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: "generic approach for hierarchical modulation performance analysis application to dvb sh"
  Abstract: Broadcasting systems have to deal with channel diversity in order to offer the best rate to the users. Hierarchical modulation is a practical solution to provide several rates in function of the channel quality. Unfortunately the performance evaluation of such modulations requires time consuming simulations. We propose in this paper a novel approach based on the channel capacity to avoid these simulations. The method allows to study the performance in terms of spectrum efficiency of hierarchical and also classical modulations combined with error correcting codes. Our method will be applied to the DVB-SH standard which considers hierarchical modulation as an optional feature.

Connected through hyperedge HE-1 (induced by source paper "dvb s2 spectrum efficiency improvement with hierarchical modulation"):
  with members:
    - "a hierarchical modulation for upgrading digital broadcast systems"
    - "combining adaptive coding and modulation with hierarchical modulation in satcom systems"
    - "providing local content in a hybrid single frequency network using hierarchical modulation"

Connected through hyperedge HE-2 (induced by source paper "a cooperative network coding strategy for the interference relay channel"):
  with members:
    - "physical layer network coding"

Connected through hyperedge HE-3 (induced by source paper "combining adaptive coding and modulation with hierarchical modulation in satcom systems"):
  with members:
    - "a hierarchical modulation for upgrading digital broadcast systems"
    - "improving broadcast channel rate using hierarchical modulation"
    - "providing local content in a hybrid single frequency network using hierarchical modulation"

Connected through hyperedge HE-4 (induced by source paper "improving broadcast channel rate using hierarchical modulation"):
  with members:
    - "providing local content in a hybrid single frequency network using hierarchical modulation"

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)