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 beamforming design for efficient interference alignment"
  Abstract: An efficient interference alignment (IA) scheme is developed for $K$-user single-input single-output frequency selective fading interference channels. The main idea is to steer the transmit beamforming matrices such that at each receiver the subspace dimensions occupied by interference-free desired streams are asymptotically the same as those occupied by all interferences. Our proposed scheme achieves a higher multiplexing gain at any given number of channel realizations in comparison with the original IA scheme, which is known to achieve the optimal multiplexing gain asymptotically.

Connected through hyperedge HE-1 (induced by source paper "maximizing first order approximate mean of sinr under imperfect channel state information for throughput enhancement of mimo interference networks"):
  with members:
    - "interference alignment for the k user interference channel with imperfect csi"
    - "adaptive interference alignment with csi uncertainty"
    - "group based interference alignment"
    - "degrees of freedom of the k user m times n mimo interference channel"

Connected through hyperedge HE-2 (induced by source paper "a new approach for throughput enhancement of mimo interference networks under imperfect channel state information"):
  with members:
    - "interference alignment for the k user interference channel with imperfect csi"
    - "group based interference alignment"

Connected through hyperedge HE-3 (induced by source paper "grouping based interference alignment with ia cell assignment in multi cell mimo mac under limited feedback"):
  with members:
    - "user selection in mimo interfering broadcast channels"
    - "what will 5g be"
    - "limited feedback design for interference alignment on mimo interference networks with heterogeneous path loss and spatial correlations"
    - "interference alignment with quantized grassmannian feedback in the k user constant mimo interference channel"
    - "low complexity sum rate maximization for single and multiple stream mimo af relay networks"
    - "spatial degrees of freedom of the multicell mimo multiple access channel"
    - "on feasibility of interference alignment in mimo interference networks"
    - "downlink interference alignment"

Connected through hyperedge HE-4 (induced by source paper "feedback topology designs for interference alignment in mimo interference channels"):
  with members:
    - "interference alignment for the k user mimo interference channel"
    - "interference alignment through user cooperation for two cell mimo interfering broadcast channels"
    - "on feasibility of interference alignment in mimo interference networks"
    - "downlink interference alignment"
    - "interference alignment under limited feedback for mimo interference channels"
    - "interference alignment with limited feedback"
    - "on feasibility of interference alignment in mimo interference networks"
    - "adaptive limited feedback for sum rate maximizing beamforming in cooperative multicell systems"

Connected through hyperedge HE-5 (induced by source paper "on achievable schemes of interference alignment in constant channels via finite amplify and forward relays"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "interference alignment as a rank constrained rank minimization"
    - "degrees of freedom region of a class of multi source gaussian relay networks"
    - "on feasibility of interference alignment in mimo interference networks"
    - "aligned interference neutralization and the degrees of freedom of the 2x2x2 interference channel"
    - "degrees of freedom of multi source relay networks"
    - "on the degrees of freedom of the compound mimo broadcast channels with finite states"
    - "on feasibility of interference alignment in mimo interference networks"

Connected through hyperedge HE-6 (induced by source paper "grassmannian differential limited feedback for interference alignment"):
  with members:
    - "grassmannian predictive coding for limited feedback in multiple antenna wireless systems"
    - "adaptive beamforming in interference networks via bi directional training"
    - "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"

Connected through hyperedge HE-7 (induced by source paper "on achievable schemes of interference alignment with double layered symbol extensions in interference channel"):
  with members:
    - "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture"

Connected through hyperedge HE-8 (induced by source paper "degrees of freedom region for an interference network with general message demands"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "degrees of freedom regions of two user mimo z and full interference channels the benefit of reconfigurable antennas"
    - "interference alignment for the k user mimo interference channel"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"
    - "aiming perfectly in the dark blind interference alignment through staggered antenna switching"
    - "capacity regions and sum rate capacities of vector gaussian interference channels"
    - "on feasibility of interference alignment in mimo interference networks"
    - "on the degrees of freedom regions of two user mimo z and full interference channels with reconfigurable antennas"

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)