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: "on the vector broadcast channel with alternating csit a topological perspective"
  Abstract: In many wireless networks, link strengths are affected by many topological factors such as different distances, shadowing and inter-cell interference, thus resulting in some links being generally stronger than other links. From an information theoretic point of view, accounting for such topological aspects has remained largely unexplored, despite strong indications that such aspects can crucially affect transceiver and feedback design, as well as the overall performance. #R##N#The work here takes a step in exploring this interplay between topology, feedback and performance. This is done for the two user broadcast channel with random fading, in the presence of a simple two-state topological setting of statistically strong vs. weaker links, and in the presence of a practical ternary feedback setting of alternating channel state information at the transmitter (alternating CSIT) where for each channel realization, this CSIT can be perfect, delayed, or not available. #R##N#In this setting, the work derives generalized degrees-of-freedom bounds and exact expressions, that capture performance as a function of feedback statistics and topology statistics. The results are based on novel topological signal management (TSM) schemes that account for topology in order to fully utilize feedback. This is achieved for different classes of feedback mechanisms of practical importance, from which we identify specific feedback mechanisms that are best suited for different topologies. This approach offers further insight on how to split the effort --- of channel learning and feeding back CSIT --- for the strong versus for the weaker link. Further intuition is provided on the possible gains from topological spatio-temporal diversity, where topology changes in time and across users.

Connected through hyperedge HE-1 (induced by source paper "multi layer interference alignment and gdof of the k user asymmetric interference channel"):
  with members:
    - "gdof of interference channel with limited cooperation under finite precision csit"
    - "secure communication over interference channel to jam or not to jam"
    - "optimal secure gdof of symmetric gaussian wiretap channel with a helper"
    - "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
    - "the generalized degrees of freedom region of the mimo z interference channel with delayed csit"
    - "optimality of treating interference as noise a combinatorial perspective"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "the gdof of 3 user mimo gaussian interference channel"

Connected through hyperedge HE-2 (induced by source paper "achieving full dof in heterogeneous parallel broadcast channels with outdated csit"):
  with members:
    - "capacity results for binary fading interference channels with delayed csit"
    - "the degrees of freedom region of temporally correlated mimo networks with delayed csit"
    - "symmetric two user mimo bc and ic with evolving feedback"
    - "degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "on the fundamental feedback vs performance tradeoff over the miso bc with imperfect and delayed csit"
    - "optimal use of current and outdated channel state information degrees of freedom of the miso bc with mixed csit"
    - "secrecy degrees of freedom of mimo broadcast channels with delayed csit"
    - "the degrees of freedom regions of two user and certain three user mimo broadcast channels with delayed csit"

Connected through hyperedge HE-3 (induced by source paper "rover to orbiter communication in mars taking advantage of the varying topology"):
  with members:
    - "two hop interference channels impact of linear schemes"
    - "capacity results for binary fading interference channels with delayed csit"
    - "topological interference management through index coding"
    - "resolving entanglements in topological interference management with alternating connectivity"
    - "topological interference management with alternating connectivity"
    - "topological interference management with alternating connectivity the wyner type three user interference channel"
    - "wireless network information flow a deterministic approach"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-4 (induced by source paper "approximate capacity region of the two user miso broadcast channels with delayed csit"):
  with members:
    - "two user erasure interference channels with local delayed csit"
    - "capacity results for binary fading interference channels with delayed csit"
    - "communication through collisions opportunistic utilization of past receptions"
    - "on the degrees of freedom of the k user time correlated broadcast channel with delayed csit"
    - "on the degrees of freedom of k user siso interference and x channels with delayed csit"
    - "layered interference networks with delayed csi dof scaling with distributed transmitters"
    - "degrees of freedom region of the miso broadcast channel with general mixed csit"
    - "optimal use of current and outdated channel state information degrees of freedom of the miso bc with mixed csit"

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)