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: "a new dof upper bound and its achievability for k user mimo y channels"
  Abstract: This work is to study the degrees of freedom (DoF) of the K-user MIMO Y channel. Previously, two transmission frameworks, in addition to the original signal alignment introduced by Lee et al., have been proposed for the DoF analysis at different antenna configurations. One is signal group based alignment proposed by Hua et al. and the other is a signal pattern approach proposed by Wang et al. Yet, the maximum achievable DoF at antenna configuration equation still remains unknown, where M and N denote the number of antennas at each source node and the relay node, respectively. In this work, we first derive a new upper bound of the DoF using the genie-aided approach. Then, we propose a more general transmission framework, generalized signal alignment (GSA), to approach the new bound. With GSA, we prove that the new DoF upper bound is tight when equation.

Connected through hyperedge HE-1 (induced by source paper "generalized signal alignment on the achievable dof for multi user mimo two way relay channels"):
  with members:
    - "generalized signal alignment for mimo two way x relay channels"
    - "mimo multiway relaying with clustered full data exchange signal space alignment and degrees of freedom"
    - "beyond one way communication degrees of freedom of multi way relay mimo interference networks"
    - "mimo multiway relaying with pairwise data exchange a degrees of freedom perspective"
    - "generalized signal alignment for arbitrary mimo two way relay channels"
    - "degrees of freedom for the mimo multi way relay channel"
    - "the degrees of freedom of the mimo y channel"
    - "degrees of freedom for mimo two way x relay 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)