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: "can one achieve multiuser diversity in uplink multi cell networks"
  Abstract: We introduce a distributed opportunistic scheduling (DOS) strategy, based on two pre-determined thresholds, for uplink K-cell networks with time-invariant channel coefficients. Each base station (BS) opportunistically selects a mobile station (MS) who has a large signal strength of the desired channel link among a set of MSs generating a sufficiently small interference to other BSs. Then, performance on the achievable throughput scaling law is analyzed. As our main result, it is shown that the achievable sum-rate scales as K log(SNR log N) in a high signal-to-noise ratio (SNR) regime, if the total number of users in a cell, N, scales faster than SNRK-1/1-e for a constant e∈(0,1). This result indicates that the proposed scheme achieves the multiuser diversity gain as well as the degrees-of-freedom gain even under multi-cell environments. Simulation results show that the DOS provides a better sum-rate throughput over conventional schemes.

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"
    - "on the achievable dof and user scaling law of opportunistic interference alignment in 3 transmitter mimo interference channels"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "interference aware opportunistic random access in dense iot networks"):
  with members:
    - "opportunistic downlink interference alignment for multi cell mimo networks"
    - "mu mimo mac protocols for wireless local area networks a survey"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "opportunistic interference alignment for random access networks"
    - "maximum sum rate of slotted aloha with capture"
    - "coded slotted aloha a graph based method for uncoordinated multiple access"
    - "cooperative slotted aloha for multi base station systems"
    - "scalable synchronization and reciprocity calibration for distributed multiuser mimo"

Connected through hyperedge HE-3 (induced by source paper "multi cell aware opportunistic random access for machine type communications"):
  with members:
    - "opportunistic downlink interference alignment for multi cell mimo networks"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "opportunistic interference alignment for random access networks"
    - "maximum sum rate of slotted aloha with capture"
    - "coded slotted aloha a graph based method for uncoordinated multiple access"
    - "cooperative slotted aloha for multi base station systems"
    - "scalable synchronization and reciprocity calibration for distributed multiuser mimo"
    - "opportunistic interference mitigation achieves optimal degrees of freedom in wireless multi cell uplink networks"

Connected through hyperedge HE-4 (induced by source paper "opportunistic downlink interference alignment"):
  with members:
    - "on the achievable dof and user scaling law of opportunistic interference alignment in 3 transmitter mimo interference channels"
    - "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"
    - "opportunistic interference mitigation achieves optimal degrees of freedom in wireless multi cell uplink networks"
    - "downlink interference alignment"

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)