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: "interference alignment under limited feedback for mimo interference channels"
  Abstract: While interference alignment schemes have been employed to realize the full multiplexing gain of $K$-user interference channels, the analyses performed so far have predominantly focused on the case when global channel knowledge is available at each node of the network. This paper considers the problem where each receiver knows its channels from all the transmitters and feeds back this information using a limited number of bits to all other terminals. In particular, channel quantization over the composite Grassmann manifold is proposed and analyzed. It is shown, for $K$-user multiple-input, multiple-output (MIMO) interference channels, that when the transmitters use an interference alignment strategy as if the quantized channel estimates obtained via this limited feedback are perfect, the full sum degrees of freedom of the interference channel can be achieved as long as the feedback bit rate scales sufficiently fast with the signal-to-noise ratio. Moreover, this is only one extreme point of a continuous tradeoff between achievable degrees of freedom region and user feedback rate scalings which are allowed to be non-identical. It is seen that a slower scaling of feedback rate for any one user leads to commensurately fewer degrees of freedom for that user alone.

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 "a time variant channel prediction and feedback framework for interference alignment"):
  with members:
    - "on the degrees of freedom for opportunistic interference alignment with 1 bit feedback the 3 cell case"
    - "delay and doppler spreads of nonstationary vehicular channels for safety relevant scenarios"
    - "grassmannian differential limited feedback for interference alignment"
    - "adaptive interference alignment with csi uncertainty"
    - "ensemble properties of rvq based limited feedback beamforming codebooks"
    - "optimization of training and feedback overhead for beamforming over block fading channels"
    - "interference alignment with analog channel state feedback"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"

Connected through hyperedge HE-3 (induced by source paper "robust transceiver design for reciprocal m n interference channel based on statistical linearization approximation"):
  with members:
    - "robust transceiver design for k pairs quasi static mimo interference channels via semi definite relaxation"
    - "interference alignment with analog channel state feedback"
    - "interference alignment with limited feedback"
    - "degrees of freedom of the k user m times n mimo interference channel"

Connected through hyperedge HE-4 (induced by source paper "on interference alignment with imperfect csi characterizations of outage probability ergodic rate and ser"):
  with members:
    - "performance analysis and optimization for interference alignment over mimo interference channels with limited feedback"
    - "the feasibility conditions for interference alignment in mimo networks"
    - "on the achievable dof and user scaling law of opportunistic interference alignment in 3 transmitter mimo interference channels"
    - "interference aware resource control in multi antenna cognitive ad hoc networks with heterogeneous delay constraints"
    - "performance analysis for physical layer security in multi antenna downlink networks with limited csi feedback"
    - "limited feedback design for interference alignment on mimo interference networks with heterogeneous path loss and spatial correlations"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"

Connected through hyperedge HE-5 (induced by source paper "distributed long term base station clustering in cellular networks using coalition formation"):
  with members:
    - "adaptive pilot clustering in heterogeneous massive mimo networks"
    - "globally optimal base station clustering in interference alignment based multicell networks"
    - "cooperative base station coloring for pair wise multi cell coordination"
    - "overhead aware distributed csi selection in the mimo interference channel"
    - "interference alignment aided base station clustering using coalition formation"
    - "what will 5g be"
    - "on the feasibility of linear interference alignment for mimo interference broadcast channels with constant coefficients"
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"

Connected through hyperedge HE-6 (induced by source paper "on the benefits of edge caching for mimo interference alignment"):
  with members:
    - "optimal geographic caching in cellular networks"
    - "hierarchical coded caching"
    - "performance analysis and optimization for interference alignment over mimo interference channels with limited feedback"
    - "device to device data storage with regenerating codes"
    - "what will 5g be"
    - "living on the edge the role of proactive caching in 5g wireless networks"
    - "cache enabled opportunistic cooperative mimo for video streaming in wireless systems"
    - "many to many matching games for proactive social caching in wireless small cell networks"

Connected through hyperedge HE-7 (induced by source paper "queueing stability and csi probing of a tdd wireless network with interference alignment"):
  with members:
    - "performance analysis and optimization for interference alignment over mimo interference channels with limited feedback"
    - "csit sharing over finite capacity backhaul for spatial interference alignment"
    - "performance evaluation of multiterminal backhaul compression for cloud radio access networks"
    - "on feasibility of interference alignment in mimo interference networks"
    - "interference alignment with analog channel state feedback"
    - "interference alignment with limited feedback"
    - "stability and delay of zero forcing sdma with limited feedback"
    - "on feasibility of interference alignment in mimo interference networks"

Connected through hyperedge HE-8 (induced by source paper "robust iterative interference alignment for cellular networks with limited feedback"):
  with members:
    - "interference alignment with analog channel state feedback"
    - "interference alignment with limited feedback"
    - "approaching the capacity of wireless networks through distributed interference alignment"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"
    - "mimo broadcast channels with finite rate feedback"

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)