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 capacity of fading mimo broadcast channels with imperfect transmitter side information"
  Abstract: A fading broadcast channel is considered where the transmitter employs two antennas and each of the two receivers employs a single receive antenna. It is demonstrated that even if the realization of the fading is precisely known to the receivers, the high signal-to-noise (SNR) throughput is greatly reduced if, rather than knowing the fading realization \emph{precisely}, the trasmitter only knows the fading realization \emph{approximately}. The results are general and are not limited to memoryless Gaussian fading.

Connected through hyperedge HE-1 (induced by source paper "on the separability of parallel miso broadcast channels under partial csit a degrees of freedom region perspective"):
  with members:
    - "degrees of freedom region of the m n 1 n 2 mimo broadcast channel with partial csit an application of sum set inequalities based on aligned image sets"
    - "towards an extremal network theory robust gdof gain of transmitter cooperation over tin"
    - "dof region of the miso bc with partial csit proof by inductive fourier motzkin elimination"
    - "optimality of simple layered superposition coding in the 3 user miso bc with finite precision csit"
    - "on the optimality of treating inter cell interference as noise in uplink cellular networks"
    - "on the dof of parallel miso bcs with partial csit total order and separability"
    - "optimal dof region of the k user miso bc with partial csit"
    - "elevated multiplexing and signal space partitioning in the 2 user mimo ic with partial csit"

Connected through hyperedge HE-2 (induced by source paper "towards an extremal network theory robust gdof gain of transmitter cooperation over tin"):
  with members:
    - "on multi cell uplink downlink duality with treating inter cell interference as noise"
    - "optimality of simple layered superposition coding in the 3 user miso bc with finite precision csit"
    - "on the optimality of treating inter cell interference as noise in uplink cellular networks"
    - "opportunistic treating interference as noise"
    - "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
    - "aligned image sets and the generalized degrees of freedom of symmetric mimo interference channel with partial csit"
    - "network coherence time matters aligned image sets and the degrees of freedom of interference networks with finite precision csit and perfect csir"
    - "elevated multiplexing and signal space partitioning in the 2 user mimo ic with partial csit"

Connected through hyperedge HE-3 (induced by source paper "dof region of the miso bc with partial csit proof by inductive fourier motzkin elimination"):
  with members:
    - "optimal dof region of the k user miso bc with partial csit"
    - "sum rate maximization for linearly precoded downlink multiuser miso systems with partial csit a rate splitting approach"
    - "robust transmission in downlink multiuser miso systems a rate splitting approach"
    - "rate splitting for mimo wireless networks a promising phy layer strategy for lte evolution"
    - "dof analysis of the mimo broadcast channel with alternating hybrid csit"
    - "degrees of freedom of time correlated miso broadcast channel with delayed csit"

Connected through hyperedge HE-4 (induced by source paper "degrees of freedom region of the m n 1 n 2 mimo broadcast channel with partial csit an application of sum set inequalities based on aligned image sets"):
  with members:
    - "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
    - "sum set inequalities from aligned image sets instruments for robust gdof bounds"
    - "achievable dof regions of mimo networks with imperfect csit"
    - "degrees of freedom of the two user mimo broadcast channel with private and common messages under hybrid csit models"

Connected through hyperedge HE-5 (induced by source paper "optimality of simple layered superposition coding in the 3 user miso bc with finite precision csit"):
  with members:
    - "towards an extremal network theory robust gdof gain of transmitter cooperation over tin"
    - "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
    - "sum set inequalities from aligned image sets instruments for robust gdof bounds"
    - "aligned image sets and the generalized degrees of freedom of symmetric mimo interference channel with partial csit"
    - "network coherence time matters aligned image sets and the degrees of freedom of interference networks with finite precision csit and perfect csir"
    - "achievable dof regions of mimo networks with imperfect csit"
    - "gdof of the k user symmetric miso bc bridging the gap between finite precision and perfect csit"
    - "generalized degrees of freedom of the symmetric k user interference channel under finite precision csit"

Connected through hyperedge HE-6 (induced by source paper "topological interference management with decoded message passing"):
  with members:
    - "on the impact of a single edge on the network coding capacity"
    - "tdma is optimal for all unicast dof region of tim if and only if topology is chordal bipartite"
    - "fractional coloring orthogonal access achieves all unicast capacity dof region of index coding tim if and only if network topology is chordal"
    - "on critical index coding problems"
    - "when does an ensemble of matrices with randomly scaled rows lose rank"
    - "topological interference management with transmitter cooperation"
    - "topological interference management through index coding"
    - "cognitive wyner networks with clustered decoding"

Connected through hyperedge HE-7 (induced by source paper "on the dof of parallel miso bcs with partial csit total order and separability"):
  with members:
    - "sum set inequalities from aligned image sets instruments for robust gdof bounds"
    - "optimal dof region of the k user miso bc with partial csit"
    - "elevated multiplexing and signal space partitioning in the 2 user mimo ic with partial csit"
    - "sum rate maximization for linearly precoded downlink multiuser miso systems with partial csit a rate splitting approach"
    - "gdof of the k user symmetric miso bc bridging the gap between finite precision and perfect csit"
    - "miso networks with imperfect csit a topological rate splitting approach"
    - "miso broadcast channel with hybrid csit beyond two users"
    - "gdof of the miso bc bridging the gap between finite precision and perfect csit"

Connected through hyperedge HE-8 (induced by source paper "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"):
  with members:
    - "sum set inequalities from aligned image sets instruments for robust gdof bounds"
    - "aligned image sets and the generalized degrees of freedom of symmetric mimo interference channel with partial csit"
    - "gdof of the k user symmetric miso bc bridging the gap between finite precision and perfect csit"
    - "gdof of the miso bc bridging the gap between finite precision and perfect csit"
    - "generalized degrees of freedom of the symmetric k user interference channel under finite precision csit"
    - "the degrees of freedom of mimo interference channels without state information at transmitters"
    - "the degrees of freedom regions of mimo broadcast interference and cognitive radio channels with no csit"
    - "generalized degrees of freedom of the symmetric gaussian k user interference channel"

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)