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: "averaged iterative water filling algorithm robustness and convergence"
  Abstract: The convergence properties of the iterative water-filling (IWF) based algorithms have been derived in the ideal situation where the transmitters in the network are able to obtain the exact value of the interference plus noise (IPN) experienced at the corresponding receivers in each iteration of the algorithm. However, these algorithms are not robust because they diverge when there is time-varying estimation error of the IPN, a situation that arises in real communication system. In this correspondence, we propose an algorithm that possesses convergence guarantees in the presence of various forms of such time-varying error. Moreover, we also show by simulation that in scenarios where the interference is strong, the conventional IWF diverges while our proposed algorithm still converges.

Connected through hyperedge HE-1 (induced by source paper "a parallel decomposition method for nonconvex stochastic multi agent optimization problems"):
  with members:
    - "hybrid random deterministic parallel algorithms for nonconvex big data optimization"
    - "parallel selective algorithms for big data optimization"
    - "decomposition by partial linearization parallel optimization of multi agent systems"
    - "real and complex monotone communication games"

Connected through hyperedge HE-2 (induced by source paper "signal processing and optimal resource allocation for the interference channel"):
  with members:
    - "joint power and admission control via linear programming deflation"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "linear transceiver design for a mimo interfering broadcast channel achieving max min fairness"
    - "robust linear precoder design for multi cell downlink transmission"
    - "rate region frontiers for n user interference channel with interference as noise"
    - "balancing egoism and altruism on the interference channel the mimo case"
    - "capacity regions and sum rate capacities of vector gaussian interference channels"
    - "dynamic resource allocation in cognitive radio networks"

Connected through hyperedge HE-3 (induced by source paper "joint access point selection and power allocation for uplink wireless networks"):
  with members:
    - "signal processing and optimal resource allocation for the interference channel"
    - "mechanism design for base station association and resource allocation in downlink ofdma network"
    - "dynamic power allocation games in parallel multiple access channels"
    - "game theory and the frequency selective interference channel"
    - "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria"
    - "optimal linear precoding strategies for wideband non cooperative systems based on game theory part ii algorithms"

Connected through hyperedge HE-4 (induced by source paper "mechanism design for base station association and resource allocation in downlink ofdma network"):
  with members:
    - "linear transceiver design for a mimo interfering broadcast channel achieving max min fairness"

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)