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: "degrees of freedom region of time correlated miso broadcast channel with perfect delayed csit and asymmetric partial current csit"
  Abstract: The impact of imperfect CSIT on the degrees of freedom (DoF) of a time correlated MISO Broadcast Channel has drawn a lot of attention recently. Maddah-Ali and Tse have shown that the completely stale CSIT still benefit the DoF. In very recent works, Yang et al. have extended the results by integrating the partial current CSIT for a two-user MISO broadcast channel. However, those researches so far focused on a symmetric case. In this contribution, we investigate a more general case where the transmitter has knowledge of current CSI of both users with unequal qualities. The essential ingredient in our work lies in the way to multicast the overheard interference to boost the DoF. The optimal DoF region is simply proved and its achievability is shown using a novel transmission scheme assuming an infinite number of channel uses.

Connected through hyperedge HE-1 (induced by source paper "degrees of freedom region of miso ofdma broadcast channel with imperfect csit"):
  with members:
    - "optimal dof region of the two user miso bc with general alternating csit"
    - "symmetric two user mimo bc and ic with evolving feedback"
    - "on the degrees of freedom of the k user time correlated broadcast channel with delayed csit"
    - "imperfect and unmatched csit is still useful for the frequency correlated miso broadcast channel"
    - "miso broadcast channel with imperfect and un matched csit in the frequency domain dof region and transmission strategies"
    - "degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "toward the performance vs feedback tradeoff for the two user miso broadcast channel"
    - "degrees of freedom region of the miso broadcast channel with general mixed csit"

Connected through hyperedge HE-2 (induced by source paper "imperfect and unmatched csit is still useful for the frequency correlated miso broadcast channel"):
  with members:
    - "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"
    - "optimal use of current and outdated channel state information degrees of freedom of the miso bc with mixed csit"
    - "imperfect delayed csit can be as useful as perfect delayed csit dof analysis and constructions for the bc"
    - "completely stale transmitter channel state information is still very useful"

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)