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: "adaptive beamforming in interference networks via bi directional training"
  Abstract: We study distributed algorithms for adjusting beamforming vectors and receiver filters in multiple-input multiple-output (MIMO) interference networks, with the assumption that each user uses a single beam and a linear filter at the receiver. In such a setting there have been several distributed algorithms studied for maximizing the sum-rate or sum-utility assuming perfect channel state information (CSI) at the transmitters and receivers. The focus of this paper is to study adaptive algorithms for time-varying channels, without assuming any CSI at the transmitters or receivers. Specifically, we consider an adaptive version of the recent Max-SINR algorithm for a time-division duplex system. This algorithm uses a period of bi-directional training followed by a block of data transmission. Training in the forward direction is sent using the current beam-formers and used to adapt the receive filters. Training in the reverse direction is sent using the current receive filters as beams and used to adapt the transmit beamformers. The adaptation of both receive filters and beamformers is done using a least-squares objective for the current block. In order to improve the performance when the training data is limited, we also consider using exponentially weighted data from previous blocks. Numerical results are presented that compare the performance of the algorithms in different settings.

Connected through hyperedge HE-1 (induced by source paper "optimizing the mimo cellular downlink multiplexing diversity or interference nulling"):
  with members:
    - "a stochastic analysis of network mimo systems"
    - "spectral efficiency of dynamic coordinated beamforming a stochastic geometry approach"
    - "large scale mimo versus network mimo for multicell interference mitigation"
    - "user centric intercell interference nulling for downlink small cell networks"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "sparse beamforming and user centric clustering for downlink cloud radio access network"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"
    - "interference coordination random clustering and adaptive limited feedback"

Connected through hyperedge HE-2 (induced by source paper "signal and interference leakage minimization in mimo uplink downlink cellular networks"):
  with members:
    - "degrees of freedom of uplink downlink multiantenna cellular networks"
    - "cooperative algorithms for mimo interference channels"
    - "downlink interference alignment"

Connected through hyperedge HE-3 (induced by source paper "interference alignment with incomplete csit sharing"):
  with members:
    - "robust iterative interference alignment for cellular networks with limited feedback"
    - "the feasibility conditions for interference alignment in mimo networks"
    - "csi feedback reduction for mimo interference alignment"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "feedback topology designs for interference alignment in mimo interference channels"
    - "user partitioning for less overhead in mimo interference channels"
    - "interference alignment as a rank constrained rank minimization"
    - "on feasibility of interference alignment in mimo interference networks"

Connected through hyperedge HE-4 (induced by source paper "linear precoding and equalization for network mimo with partial cooperation"):
  with members:
    - "multi cell mimo downlink with cell cooperation and fair scheduling a large system limit analysis"
    - "rank constrained schur convex optimization with multiple trace log det constraints"
    - "mimo b mac interference network optimization under rate constraints by polite water filling and duality"
    - "optimal multiuser zero forcing with per antenna power constraints for network mimo coordination"
    - "duality polite water filling and optimization for mimo b mac interference networks and itree networks"
    - "multiuser miso transmitter optimization for intercell interference mitigation"
    - "linear precoding in cooperative mimo cellular networks with limited coordination clusters"
    - "cooperative algorithms for mimo interference channels"

Connected through hyperedge HE-5 (induced by source paper "grassmannian differential limited feedback for interference alignment"):
  with members:
    - "grassmannian predictive coding for limited feedback in multiple antenna wireless systems"
    - "cooperative algorithms for mimo interference channels"
    - "interference alignment as a rank constrained rank minimization"
    - "interference alignment with analog channel state feedback"
    - "interference alignment under limited feedback for mimo interference channels"
    - "interference alignment with limited feedback"
    - "on the achievability of interference alignment in the k user constant mimo interference channel"
    - "on the beamforming design for efficient interference alignment"

Connected through hyperedge HE-6 (induced by source paper "the practical challenges of interference alignment"):
  with members:
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "user partitioning for less overhead in mimo interference channels"
    - "cooperative algorithms for mimo interference channels"
    - "interference alignment with analog channel state feedback"
    - "interference alignment with limited feedback"

Connected through hyperedge HE-7 (induced by source paper "interference alignment with analog channel state feedback"):
  with members:
    - "cooperative algorithms for mimo interference channels"
    - "interference alignment as a rank constrained rank minimization"
    - "on feasibility of interference alignment in mimo interference networks"
    - "interference alignment under limited feedback for mimo interference channels"
    - "interference alignment with limited feedback"
    - "on feasibility of interference alignment in mimo interference networks"
    - "training and feedback optimization for multiuser mimo downlink"
    - "on the achievability of interference alignment in the k user constant mimo interference 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)