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 optimality of beamforming for multi user miso interference channels with single user detection"
  Abstract: For a multi-user interference channel with multi-antenna transmitters and single-antenna receivers, by restricting each receiver to a single-user detector, computing the largest achievable rate region amounts to solving a family of non-convex optimization problems. Recognizing the intrinsic connection between the signal power at the intended receiver and the interference power at the unintended receiver, the original family of non-convex optimization problems is converted into a new family of convex optimization problems. It is shown that, for such interference channels with each receiver implementing single-user detection, transmitter beamforming can achieve all boundary points of the achievable rate region.

Connected through hyperedge HE-1 (induced by source paper "distributed asynchronous optimization framework for the miso interference channel"):
  with members:
    - "robust monotonic optimization framework for multicell miso systems"
    - "non convex utility maximization in gaussian miso broadcast and interference channels"
    - "optimal beamforming in interference networks with perfect local channel information"
    - "cooperative interference management with miso beamforming"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"

Connected through hyperedge HE-2 (induced by source paper "achieving global optimality for weighted sum rate maximization in the k user gaussian interference channel with multiple antennas"):
  with members:
    - "robust monotonic optimization framework for multicell miso systems"
    - "cooperative interference management with miso beamforming"
    - "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture"
    - "optimal beamforming for two way multi antenna relay channel with analogue network coding"
    - "mapel achieving global optimality for a non convex wireless power control problem"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-3 (induced by source paper "optimal beamforming in interference networks with perfect local channel information"):
  with members:
    - "pareto characterization of the multicell mimo performance region with simple receivers"
    - "balancing egoism and altruism on the interference channel the mimo case"
    - "cooperative interference management with miso beamforming"

Connected through hyperedge HE-4 (induced by source paper "cooperative interference management with miso beamforming"):
  with members:
    - "cooperative multi cell block diagonalization with per base station power constraints"
    - "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "gaussian interference channel capacity to within one bit"
    - "interference alignment and the degrees of freedom for the k user interference channel"

Connected through hyperedge HE-5 (induced by source paper "optimal distributed beamforming for miso interference channels"):
  with members:
    - "cooperative interference management with miso beamforming"
    - "capacity bounds for the gaussian interference channel"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-6 (induced by source paper "a convex approximation approach to weighted sum rate maximization of multiuser miso interference channel under outage constraints"):
  with members:
    - "cooperative interference management with miso beamforming"

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)