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: "multi cell mimo downlink with fairness criteria the large system limit"
  Abstract: We consider the downlink of a cellular network with multiple cells and multi-antenna base stations including arbitrary inter-cell cooperation, realistic distance-dependent pathloss and general "fairness" requirements. Beyond Monte Carlo simulation, no efficient computation method to evaluate the ergodic throughput of such systems has been provided so far. We propose an analytic method based on the combination of the large random matrix theory with Lagrangian optimization. The proposed method is computationally much more efficient than Monte Carlo simulation and provides a very accurate approximation (almost indistinguishable) for the actual finite-dimensional case, even for of a small number of users and base station antennas. Numerical examples include linear 2-cell and planar three-sectored 7-cell layouts, with no inter-cell cooperation, sector cooperation, and full cooperation.

Connected through hyperedge HE-1 (induced by source paper "robust monotonic optimization framework for multicell miso systems"):
  with members:
    - "non convex utility maximization in gaussian miso broadcast and interference channels"
    - "robust linear precoder design for multi cell downlink transmission"
    - "optimality properties distributed strategies and measurement based evaluation of coordinated multicell ofdma transmission"
    - "optimal beamforming in interference networks with perfect local channel information"
    - "probabilistic sinr constrained robust transmit beamforming a bernstein type inequality based conservative approach"
    - "cooperative interference management with miso beamforming"
    - "fairness in multiuser systems with polymatroid capacity region"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"

Connected through hyperedge HE-2 (induced by source paper "iterative deterministic equivalents for the performance analysis of communication systems"):
  with members:
    - "random beamforming over quasi static and fading channels a deterministic equivalent approach"
    - "asymptotic capacity and optimal precoding in mimo multi hop relay networks"
    - "a deterministic equivalent for the analysis of correlated mimo multiple access channels"
    - "optimal channel training in uplink network mimo systems"
    - "ergodic capacity analysis of amplify and forward mimo dual hop systems"
    - "on the capacity achieving covariance matrix for frequency selective mimo channels using the asymptotic approach"
    - "a new approach for capacity analysis of large dimensional multi antenna channels"
    - "large n analysis of amplify and forward mimo relay channels with correlated rayleigh fading"

Connected through hyperedge HE-3 (induced by source paper "optimal channel training in uplink network mimo systems"):
  with members:
    - "optimized data sharing in multicell mimo with finite backhaul capacity"
    - "uplink comp under a constrained backhaul and imperfect channel knowledge"
    - "outage efficient strategies for network mimo with partial csit"
    - "training and feedback optimization for multiuser mimo downlink"
    - "distributed mimo receiver achievable rates and upper bounds"

Connected through hyperedge HE-4 (induced by source paper "base station cooperation on the downlink large system analysis"):
  with members:
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"
    - "a deterministic equivalent for the analysis of correlated mimo multiple access channels"
    - "optimal channel training in uplink network mimo systems"
    - "on the optimal number of cooperative base stations in network mimo systems"
    - "on the optimal number of cooperative base stations in network mimo"
    - "a central limit theorem for the sinr at the lmmse estimator output for large dimensional signals"

Connected through hyperedge HE-5 (induced by source paper "on the optimal number of cooperative base stations in network mimo systems"):
  with members:
    - "optimized data sharing in multicell mimo with finite backhaul capacity"
    - "training and feedback optimization for multiuser mimo downlink"
    - "cooperative multi cell networks impact of limited capacity backhaul and inter users links"

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)