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 uplink downlink duality for cellular ia"
  Abstract: In our previous work we considered the uplink of a hexagonal cellular network topology and showed that linear "one-shot" interference alignment (IA) schemes are able to achieve the optimal degrees of freedom (DoFs) per user, under a decoded-message passing framework that allows base-stations to exchange their own decoded messages over local backhaul links. In this work, we provide the dual framework for the downlink of cellular networks with the same backhaul architecture, and show that for every "one-shot" IA scheme that can achieve $d$ DoFs per user in the uplink, there exists a dual "one-shot" IA scheme that can achieve the same DoFs in the downlink. To enable "Cellular IA" for the downlink, base-stations will now use the same local backhaul links to exchange quantized versions of the dirty-paper precoded signals instead of user messages.

Connected through hyperedge HE-1 (induced by source paper "cell associations that maximize the average uplink downlink degrees of freedom"):
  with members:
    - "layered downlink precoding for c ran systems with full dimensional mimo"
    - "conferencing in wyner s asymmetric interference network effect of number of rounds"
    - "performance of cloud radio networks"
    - "degrees of freedom of uplink downlink multiantenna cellular networks"
    - "cellular interference alignment"
    - "dynamic interference management"
    - "degrees of freedom of interference channels with comp transmission and reception"

Connected through hyperedge HE-2 (induced by source paper "cellular interference alignment omni directional antennas and asymmetric configurations"):
  with members:
    - "fractional coloring orthogonal access achieves all unicast capacity dof region of index coding tim if and only if network topology is chordal"
    - "feasibility of interference alignment for the mimo interference channel"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "topological interference management through index coding"
    - "cellular interference alignment"
    - "on the optimality of treating interference as noise"
    - "degrees of freedom of mimo cellular networks decomposition and linear beamforming design"
    - "network mimo with linear zero forcing beamforming large system analysis impact of channel estimation and reduced complexity scheduling"

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)