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: "feedback topology designs for interference alignment in mimo interference channels"
  Abstract: Interference alignment (IA) is a joint-transmission technique for the interference channel that achieves the maximum degrees-of-freedom and provides linear scaling of the capacity with the number of users for high signal-to-noise ratios (SNRs). Most prior work on IA is based on the impractical assumption that perfect and global channel-state information (CSI) is available at all transmitters. However, to implement IA, each receiver has to feed back CSI to all interferers, resulting in overwhelming feedback overhead. In particular, the sum feedback rate of each receiver scales quadratically with the number of users even if the feedback CSI is quantized. To substantially suppress feedback overhead, this paper focuses on designing efficient arrangements of feedback links, called feedback topologies, under the IA constraint. For the multiple-input multiple-output (MIMO) K-user interference channel, we propose the feedback topology that supports sequential CSI exchange (feedback and feedforward) between transmitters and receivers so as to achieve IA progressively. This feedback topology is shown to reduce the network feedback overhead from a quadratic function of K to a linear one. To reduce the delay in the sequential CSI exchange, an alternative feedback topology is designed for supporting two-hop feedback via a control station, which also achieves the linear feedback scaling with K. Next, given the proposed feedback topologies, the feedback-bit allocation algorithm is designed for allocating feedback bits by each receiver to different feedback links so as to regulate the residual interference caused by finite-rate feedback. Simulation results demonstrate that the proposed bit allocation leads to significant throughput gains especially in strong interference environments.

Connected through hyperedge HE-1 (induced by source paper "csi feedback reduction for mimo interference alignment"):
  with members:
    - "the feasibility conditions for interference alignment in mimo networks"
    - "csit sharing over finite capacity backhaul for spatial interference alignment"
    - "limited feedback design for interference alignment on mimo interference networks with heterogeneous path loss and spatial correlations"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "interference alignment with quantized grassmannian feedback in the k user constant mimo interference channel"
    - "grassmannian differential limited feedback for interference alignment"
    - "interference alignment with incomplete csit sharing"
    - "mimo interference alignment over correlated channels with imperfect csi"

Connected through hyperedge HE-2 (induced by source paper "limited feedback design for interference alignment on mimo interference networks with heterogeneous path loss and spatial correlations"):
  with members:
    - "dynamic interference mitigation for generalized partially connected quasi static mimo interference channel"
    - "cooperative algorithms for mimo interference channels"
    - "interference alignment with analog channel state feedback"
    - "interference alignment under limited feedback for mimo interference channels"
    - "interference alignment with limited feedback"
    - "adaptive limited feedback for sum rate maximizing beamforming in cooperative multicell systems"
    - "degrees of freedom of the k user m times n mimo interference channel"
    - "mimo broadcast channels with finite rate feedback"

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"
    - "adaptive beamforming in interference networks via bi directional training"
    - "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"

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)