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: "sum set inequalities from aligned image sets instruments for robust gdof bounds"
  Abstract: We present sum-set inequalities specialized to the generalized degrees of freedom (GDoF) framework. These are information theoretic lower bounds on the entropy of bounded density linear combinations of discrete, power-limited dependent random variables in terms of the joint entropies of arbitrary linear combinations of new random variables that are obtained by power level partitioning of the original random variables. The bounds are useful instruments to obtain GDoF characterizations for wireless interference networks, especially with multiple antenna nodes, subject to arbitrary channel strength and channel uncertainty levels.

Connected through hyperedge HE-1 (induced by source paper "dof region of the decentralized mimo broadcast channel unicode x2014 how many informed antennas do we need"):
  with members:
    - "achievable dof regions of mimo networks with imperfect csit"
    - "on the degrees of freedom of the k user distributed broadcast channel"
    - "degrees of freedom of the two user mimo broadcast channel with private and common messages under hybrid csit models"
    - "generalized degrees of freedom of the symmetric k user interference channel under finite precision csit"
    - "sum capacity of interference channels with a local view impact of distributed decisions"
    - "completely stale transmitter channel state information is still very useful"
    - "the two user gaussian interference channel a deterministic view"

Connected through hyperedge HE-2 (induced by source paper "gdof of interference channel with limited cooperation under finite precision csit"):
  with members:
    - "towards an extremal network theory robust gdof gain of transmitter cooperation over tin"
    - "straggler mitigation in distributed matrix multiplication fundamental limits and optimal coding"
    - "channels with cooperation links that may be absent"
    - "generalized degrees of freedom of the symmetric k user interference channel under finite precision csit"
    - "on the synergistic benefits of alternating csit for the miso bc"
    - "interference channels with source cooperation"
    - "interference channels with destination cooperation"
    - "interference mitigation through limited transmitter cooperation"

Connected through hyperedge HE-3 (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"
    - "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"
    - "on the capacity of fading mimo broadcast channels with imperfect transmitter side information"

Connected through hyperedge HE-4 (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"
    - "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"
    - "tdma is optimal for all unicast dof region of tim if and only if topology is chordal bipartite"

Connected through hyperedge HE-5 (induced by source paper "on the dof of parallel miso bcs with partial csit total order and separability"):
  with members:
    - "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"
    - "dof analysis of the mimo broadcast channel with alternating hybrid csit"

Connected through hyperedge HE-6 (induced by source paper "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"):
  with members:
    - "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"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-7 (induced by source paper "aligned image sets and the generalized degrees of freedom of symmetric mimo interference channel with partial csit"):
  with members:
    - "elevated multiplexing and signal space partitioning in the 2 user mimo ic 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"
    - "multilevel topological interference management"
    - "optimal use of current and outdated channel state information degrees of freedom of the miso bc with mixed csit"
    - "the degrees of freedom regions of mimo broadcast interference and cognitive radio channels with no csit"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-8 (induced by source paper "network coherence time matters aligned image sets and the degrees of freedom of interference networks with finite precision csit and perfect csir"):
  with members:
    - "topological interference management through index coding"
    - "interference networks with no csit impact of topology"
    - "elements of cellular blind interference alignment aligned frequency reuse wireless index coding and interference diversity"
    - "on the capacity of fading mimo broadcast channels with imperfect transmitter side information"

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)