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: "broadcast channels with delayed finite rate feedback predict or observe"
  Abstract: Most multiuser precoding techniques require accurate transmitter channel state information (CSIT) to maintain orthogonality between the users. Such techniques have proven quite fragile in time-varying channels because the CSIT is inherently imperfect due to estimation and feedback delay, as well quantization noise. An alternative approach recently proposed by Maddah-Ali and Tse (MAT) allows for significant multiplexing gain in the multi-input single-output (MISO) broadcast channel (BC) even with transmit CSIT that is completely stale, i.e. uncorrelated with the current channel state. With $K$ users, their scheme claims to lose only a $\log(K)$ factor relative to the full $K$ degrees of freedom (DoF) attainable in the MISO BC with perfect CSIT for large $K$. However, their result does not consider the cost of the feedback, which is potentially very large in high mobility (short channel coherence time). In this paper, we more closely examine the MAT scheme and compare its DoF gain to single user transmission (which always achieves 1 DoF) and partial CSIT linear precoding (which achieves up to $K$). In particular, assuming the channel coherence time is $N$ symbol periods and the feedback delay is $N_{\rm fd}$ we show that when $N   (1+o(1)) (N_{\rm fd}+ K / \log K)(1-\log^{-1}K)^{-1}$ (long coherence time), zero-forcing precoding outperforms the other two. The MAT scheme is optimal for intermediate coherence times, which for practical parameter choices is indeed quite a large and significant range, even accounting for the feedback cost.

Connected through hyperedge HE-1 (induced by source paper "on the fundamental feedback vs performance tradeoff over the miso bc with imperfect and delayed csit"):
  with members:
    - "the degrees of freedom region of temporally correlated mimo networks with delayed csit"
    - "on the degrees of freedom of the k user time correlated broadcast channel with delayed csit"
    - "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    - "optimal use of current and outdated channel state information degrees of freedom of the miso bc with mixed csit"
    - "minimum csit to achieve maximum degrees of freedom for the miso bc"
    - "on the degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "miso broadcast channel with delayed and evolving csit"

Connected through hyperedge HE-2 (induced by source paper "on the degrees of freedom of the k user time correlated broadcast channel with delayed csit"):
  with members:
    - "the degrees of freedom region of temporally correlated mimo networks with delayed csit"
    - "degrees of freedom region of the mimo interference channel with output feedback and delayed csit"
    - "degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "optimal use of current and outdated channel state information degrees of freedom of the miso bc with mixed csit"
    - "on the degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "imperfect delayed csit can be as useful as perfect delayed csit dof analysis and constructions for the bc"
    - "miso broadcast channel with delayed and evolving csit"
    - "not too delayed csit achieves the optimal degrees of freedom"

Connected through hyperedge HE-3 (induced by source paper "miso broadcast channel with delayed and evolving csit"):
  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"
    - "on the degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "imperfect delayed csit can be as useful as perfect delayed csit dof analysis and constructions for the bc"
    - "not too delayed csit achieves the optimal degrees of freedom"
    - "on the synergistic benefits of alternating csit for the miso bc"
    - "interference alignment for the mimo interference channel with delayed local csit"

Connected through hyperedge HE-4 (induced by source paper "imperfect delayed csit can be as useful as perfect delayed csit dof analysis and constructions for the bc"):
  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"
    - "on the degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "interference alignment for the mimo interference channel with delayed local csit"
    - "the degrees of freedom regions of two user and certain three user mimo broadcast channels with delayed csit"
    - "completely stale transmitter channel state information is still very useful"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"

Connected through hyperedge HE-5 (induced by source paper "degrees of freedom region of the miso broadcast channel with general mixed csit"):
  with members:
    - "degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "optimal use of current and outdated channel state information degrees of freedom of the miso bc with mixed csit"
    - "on the degrees of freedom of time correlated miso broadcast channel with delayed csit"
    - "interference alignment for the mimo interference channel with delayed local csit"
    - "the degrees of freedom regions of two user and certain three user mimo broadcast channels with delayed csit"
    - "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)