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 achievable dof and user scaling law of opportunistic interference alignment in 3 transmitter mimo interference channels"
  Abstract: In this paper, we propose opportunistic interference alignment (OIA) for three-transmitter multiple-input multiple-output interference channels. In the proposed OIA, each transmitter has its own user group and selects a single user who has the most aligned interference signals. The user dimensions provided by multiple users are exploited to align interfering signals. Contrary to conventional IA, perfect channel state information of all channel links is not required at the transmitter, and each user just feeds back one scalar value to indicate how well the interfering channels are aligned. We prove that each transmitter can achieve the same degrees of freedom (DoF) as the interference free case via user selection in our system model that the number of receive antennas is twice of the number of transmit antennas. Using the geometric interpretation, we find the required user scaling to obtain an arbitrary non-zero DoF. Two OIA schemes are proposed and compared with various user selection schemes in terms of achievable rate/DoF and complexity.

Connected through hyperedge HE-1 (induced by source paper "opportunistic downlink interference alignment for multi cell mimo networks"):
  with members:
    - "codebook based opportunistic interference alignment"
    - "opportunistic downlink interference alignment"
    - "effect of receive spatial diversity on the degrees of freedom region in multi cell random beamforming"
    - "parallel opportunistic routing in wireless networks"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "multiuser diversity in interfering broadcast channels achievable degrees of freedom and user scaling law"
    - "multi cell random beamforming achievable rate and degrees of freedom region"
    - "can one achieve multiuser diversity in uplink multi cell networks"

Connected through hyperedge HE-2 (induced by source paper "on interference alignment with imperfect csi characterizations of outage probability ergodic rate and ser"):
  with members:
    - "performance analysis and optimization for interference alignment over mimo interference channels with limited feedback"
    - "the feasibility conditions for interference alignment in mimo networks"
    - "interference aware resource control in multi antenna cognitive ad hoc networks with heterogeneous delay constraints"
    - "performance analysis for physical layer security in multi antenna downlink networks with limited csi feedback"
    - "limited feedback design for interference alignment on mimo interference networks with heterogeneous path loss and spatial correlations"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "distributed robust multicell coordinated beamforming with imperfect csi an admm approach"

Connected through hyperedge HE-3 (induced by source paper "on the degrees of freedom for opportunistic interference alignment with 1 bit feedback the 3 cell case"):
  with members:
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "multiuser diversity in interfering broadcast channels achievable degrees of freedom and user scaling law"
    - "interference alignment with quantized grassmannian feedback in the k user constant mimo interference channel"
    - "opportunistic interference mitigation achieves optimal degrees of freedom in wireless multi cell uplink networks"
    - "interference alignment with analog channel state feedback"
    - "quantization bounds on grassmann manifolds and applications to mimo communications"

Connected through hyperedge HE-4 (induced by source paper "on the achievable dof of opportunistic interference alignment with 1 bit feedback"):
  with members:
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "multiuser diversity in interfering broadcast channels achievable degrees of freedom and user scaling law"
    - "interference alignment with quantized grassmannian feedback in the k user constant mimo interference channel"
    - "opportunistic interference mitigation achieves optimal degrees of freedom in wireless multi cell uplink networks"
    - "interference alignment with analog channel state feedback"
    - "quantization bounds on grassmann manifolds and applications to mimo communications"

Connected through hyperedge HE-5 (induced by source paper "low complexity opportunistic interference alignment in k transmitter mimo interference channels"):
  with members:
    - "interference alignment as a rank constrained rank minimization"
    - "interference alignment with analog channel state feedback"

Connected through hyperedge HE-6 (induced by source paper "opportunistic downlink interference alignment"):
  with members:
    - "effect of receive spatial diversity on the degrees of freedom region in multi cell random beamforming"
    - "parallel opportunistic routing in wireless networks"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "multiuser diversity in interfering broadcast channels achievable degrees of freedom and user scaling law"
    - "multi cell random beamforming achievable rate and degrees of freedom region"
    - "can one achieve multiuser diversity in uplink multi cell networks"
    - "opportunistic interference mitigation achieves optimal degrees of freedom in wireless multi cell uplink networks"
    - "downlink interference alignment"

Connected through hyperedge HE-7 (induced by source paper "codebook based opportunistic interference alignment"):
  with members:
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "multi cell random beamforming achievable rate and degrees of freedom region"
    - "opportunistic interference mitigation achieves optimal degrees of freedom in wireless multi cell uplink networks"
    - "channel estimation and linear precoding in multiuser multiple antenna tdd systems"
    - "interference alignment under limited feedback for mimo interference channels"
    - "interference alignment with limited feedback"
    - "pilot contamination and precoding in multi cell tdd systems"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-8 (induced by source paper "distributed user scheduling for mimo y channel"):
  with members:
    - "on channel inseparability and the dof region of mimo multi way relay channels"
    - "approximate sum capacity of the y channel"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "divide and conquer approaching the capacity of the two pair bidirectional gaussian relay network"
    - "a simple cooperative diversity method based on network path selection"

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)