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: "multi cell random beamforming achievable rate and degrees of freedom region"
  Abstract: Random beamforming (RBF) is a practically favorable transmission scheme for multiuser multiantenna downlink systems since it requires only partial channel state information (CSI) at the transmitter. Under the conventional single-cell setup, RBF is known to achieve the optimal sum-capacity scaling law as the number of users goes to infinity, thanks to the multiuser diversity enabled transmission scheduling that virtually eliminates the intra-cell interference. In this paper, we extend the study of RBF to a more practical multi-cell downlink system with single-antenna receivers subject to the additional inter-cell interference (ICI). First, we consider the case of finite signal-to-noise ratio (SNR) at each receiver. We derive a closed-form expression of the achievable sum-rate with the multi-cell RBF, based upon which we show an asymptotic sum-rate scaling law as the number of users goes to infinity. Next, we consider the high-SNR regime and for tractable analysis assume that the number of users in each cell scales in a certain order with the per-cell SNR. Under this setup, we characterize the achievable degrees of freedom (DoF) (which is defined as the sum-rate normalized by the logarithm of the SNR as SNR goes to infinity) for the single-cell case with RBF. Then, we extend the analysis to the multi-cell RBF case by characterizing the DoF region, which consists of all the achievable DoF tuples for all the cells subject to their mutual ICI. It is shown that the DoF region characterization provides a useful guideline on how to design a cooperative multi-cell RBF system to achieve optimal throughput tradeoffs among different cells. Furthermore, our results reveal that the multi-cell RBF scheme achieves the “interference-free” DoF region upper bound for the multi-cell system, provided that the per-cell number of users has a sufficiently large scaling order with the SNR. Our result thus confirms the optimality of multi-cell RBF in this regime even without the complete CSI at the transmitter, as compared to other full-CSI requiring transmission schemes such as interference alignment.

Connected through hyperedge HE-1 (induced by source paper "multi stream opportunistic network decoupling relay selection and interference management"):
  with members:
    - "opportunistic downlink interference alignment for multi cell mimo networks"
    - "multi cell aware opportunistic random access for machine type communications"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "advanced interference management technique potentials and limitations"
    - "parallel opportunistic routing in wireless networks"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "opportunistic relaying in wireless networks"
    - "degrees of freedom of the k user m times n mimo interference channel"

Connected through hyperedge HE-2 (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"
    - "can one achieve multiuser diversity in uplink multi cell networks"

Connected through hyperedge HE-3 (induced by source paper "cell coverage extension with orthogonal random precoding for massive mimo systems"):
  with members:
    - "performance analysis of massive mimo for cell boundary users"
    - "spatially common sparsity based adaptive channel estimation and feedback for fdd massive mimo"
    - "distributed compressive csit estimation and feedback for fdd multi user massive mimo systems"
    - "downlink training techniques for fdd massive mimo systems open loop and closed loop training with memory"
    - "trellis extended codebooks and successive phase adjustment a path from lte advanced to fdd massive mimo systems"
    - "effect of receive spatial diversity on the degrees of freedom region in multi cell random beamforming"
    - "asymptotic coverage probability and rate in massive mimo networks"
    - "energy and spectral efficiency of very large multiuser mimo systems"

Connected through hyperedge HE-4 (induced by source paper "robust transceiver design based on interference alignment for multi user multi cell mimo networks with channel uncertainty"):
  with members:
    - "two stage beamformer design for massive mimo downlink by trace quotient formulation"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "rethinking the role of interference in wireless networks"
    - "two tier precoding for fdd multi cell massive mimo time varying interference networks"
    - "spatially sparse precoding in millimeter wave mimo systems"
    - "grouping based interference alignment with ia cell assignment in multi cell mimo mac under limited feedback"
    - "outage probability and outage based robust beamforming for mimo interference channels with imperfect channel state information"

Connected through hyperedge HE-5 (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"
    - "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-6 (induced by source paper "codebook based opportunistic interference alignment"):
  with members:
    - "on the achievable dof and user scaling law of opportunistic interference alignment in 3 transmitter mimo interference channels"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "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-7 (induced by source paper "effect of receive spatial diversity on the degrees of freedom region in multi cell random beamforming"):
  with members:
    - "on the achievable dof and user scaling law of opportunistic interference alignment in 3 transmitter mimo interference channels"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "multi cell mimo downlink with cell cooperation and fair scheduling a large system limit analysis"
    - "base station cooperation on the downlink large system analysis"
    - "cooperative interference management with miso beamforming"
    - "cooperative multi cell block diagonalization with per base station power constraints"
    - "on gaussian mimo bc mac duality with multiple transmit covariance constraints"

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)