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: "the value of local delayed csit"
  Abstract: We study the capacity region of the two-user interference channel with local delayed channel state information at the transmitters. In our model, transmitters have local mismatched outdated knowledge of the channel gains. We propose a transmission strategy that only relies on the delayed knowledge of the outgoing links at each transmitter and achieves the outer-bound for the scenario in which transmitters learn the entire channel state with delay. Our result reveals the subset of the channel state information that affects the capacity region the most. #R##N#We also identify cases in which local delayed knowledge of the channel state does not provide any gain over the zero knowledge assumption. To do so, we revisit a long-known intuition about interference channels that as long as the marginal distributions at the receivers are conserved, the capacity remains the same. We take this intuition and impose a certain spatial correlation among channel gains such that the marginal distributions remain unchanged. Then we provide an outer-bound on the capacity region of the channel with correlation that matches the capacity region when transmitters do not have access to channel state information.

Connected through hyperedge HE-1 (induced by source paper "when does spatial correlation add value to delayed channel state information"):
  with members:
    - "two user erasure interference channels with local delayed csit"
    - "informational bottlenecks in two unicast wireless networks with delayed csit"
    - "capacity results for binary fading interference channels with delayed csit"
    - "communication through collisions opportunistic utilization of past receptions"
    - "topological interference management with alternating connectivity"
    - "degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "degrees of freedom region of the miso broadcast channel with general mixed csit"
    - "completely stale transmitter channel state information is still very useful"

Connected through hyperedge HE-2 (induced by source paper "informational bottlenecks in two unicast wireless networks with delayed csit"):
  with members:
    - "two user erasure interference channels with local delayed csit"
    - "alignment based network coding for two unicast z networks"
    - "capacity results for binary fading interference channels with delayed csit"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "communication through collisions opportunistic utilization of past receptions"
    - "on the degrees of freedom of k user siso interference and x channels with delayed csit"
    - "degrees of freedom region of the mimo interference channel with output feedback and delayed csit"
    - "wireless network information flow a deterministic approach"

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)