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: "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
  Abstract: Generalized Degrees of Freedom (GDoF) are characterized for the symmetric $K$-user Multiple Input Multiple Output (MIMO) Interference Channel (IC) under the assumption that the channel state information at the transmitters (CSIT) is limited to finite precision. In this symmetric setting, each transmitter is equipped with $M$ antennas, each receiver is equipped with $N$ antennas, each desired channel (i.e., a channel between a transmit antenna and a receive antenna belonging to the same user) has strength $\sim P$, while each undesired channel has strength $\sim P^\alpha$, where $P$ is a nominal SNR parameter. The result generalizes a previous GDoF characterization for the SISO setting $(M=N=1)$ and is enabled by a significant extension of the Aligned Image Sets bound that is broadly useful. GDoF per user take the form of a $W$-curve with respect to $\alpha$ for fixed values of $M$ and $N$. Under finite precision CSIT, in spite of the presence of multiple antennas, all the benefits of interference alignment are lost.

Connected through hyperedge HE-1 (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"
    - "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"
    - "rate splitting for mimo wireless networks a promising phy layer strategy for lte evolution"

Connected through hyperedge HE-2 (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"
    - "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"
    - "on the vector broadcast channel with alternating csit a topological perspective"
    - "the gdof of 3 user mimo gaussian interference channel"

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:
    - "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"
    - "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"
    - "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"
    - "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 "fundamental limits of cloud and cache aided interference management with multi antenna base stations"):
  with members:
    - "cache aided content delivery in fog ran systems with topological information and no csi"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "coded caching in a multi server system with random topology"
    - "decentralized coded caching in wireless networks trade off between storage and latency"
    - "online edge caching and wireless delivery in fog aided networks with dynamic content popularity"
    - "degrees of freedom of cache aided wireless interference networks"
    - "fundamental storage latency tradeoff in cache aided mimo interference networks"
    - "cache aided wireless networks tradeoffs between storage and latency"

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)