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: "optimal linear precoding strategies for wideband non cooperative systems based on game theory part ii algorithms"
  Abstract: In this two-part paper, we address the problem of finding the optimal precoding/multiplexing scheme for a set of non-cooperative links sharing the same physical resources, e.g., time and bandwidth. We consider two alternative optimization problems: P.1) the maximization of mutual information on each link, given constraints on the transmit power and spectral mask; and P.2) the maximization of the transmission rate on each link, using finite order constellations, under the same constraints as in P.1, plus a constraint on the maximum average error probability on each link. Aiming at finding decentralized strategies, we adopted as optimality criterion the achievement of a Nash equilibrium and thus we formulated both problems P.1 and P.2 as strategic noncooperative (matrix-valued) games. In Part I of this two-part paper, after deriving the optimal structure of the linear transceivers for both games, we provided a unified set of sufficient conditions that guarantee the uniqueness of the Nash equilibrium. In this Part II, we focus on the achievement of the equilibrium and propose alternative distributed iterative algorithms that solve both games. Specifically, the new proposed algorithms are the following: 1) the sequential and simultaneous iterative waterfilling based algorithms, incorporating spectral mask constraints; 2) the sequential and simultaneous gradient projection based algorithms, establishing an interesting link with variational inequality problems. Our main contribution is to provide sufficient conditions for the global convergence of all the proposed algorithms which, although derived under stronger constraints, incorporating for example spectral mask constraints, have a broader validity than the convergence conditions known in the current literature for the sequential iterative waterfilling algorithm.

Connected through hyperedge HE-1 (induced by source paper "mixed monotonic programming for fast global optimization"):
  with members:
    - "optimization of weighted individual energy efficiencies in interference networks"
    - "efficient global optimal resource allocation in non orthogonal interference networks"
    - "energy efficient power control a look at 5g wireless technologies"
    - "resource allocation for energy efficient 3 way relay channels"
    - "robust monotonic optimization framework for multicell miso systems"
    - "achieving global optimality for weighted sum rate maximization in the k user gaussian interference channel with multiple antennas"
    - "framework for link level energy efficiency optimization with informed transmitter"
    - "mapel achieving global optimality for a non convex wireless power control problem"

Connected through hyperedge HE-2 (induced by source paper "large player games on wireless networks"):
  with members:
    - "discrete power control stochastic game on the multiple access channel"
    - "mean field energy games in wireless networks"
    - "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria"

Connected through hyperedge HE-3 (induced by source paper "distributed algorithms for complete and partial information games on interference channels"):
  with members:
    - "on the nash equilibria in decentralized parallel interference channels"
    - "distributed power allocation with rate constraints in gaussian parallel interference channels"

Connected through hyperedge HE-4 (induced by source paper "energy aware competitive power allocation for heterogeneous networks under qos constraints"):
  with members:
    - "power control in networks with heterogeneous users a quasi variational inequality approach"
    - "what will 5g be"
    - "optimal design of energy efficient multi user mimo systems is massive mimo the answer"
    - "designing multi user mimo for energy efficiency when is massive mimo the answer"
    - "framework for link level energy efficiency optimization with informed transmitter"
    - "energy efficient precoding for multiple antenna terminals"
    - "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria"
    - "competitive design of multiuser mimo systems based on game theory a unified view"

Connected through hyperedge HE-5 (induced by source paper "power control in networks with heterogeneous users a quasi variational inequality approach"):
  with members:
    - "game theory for signal processing in networks"
    - "energy aware competitive power allocation for heterogeneous networks under qos constraints"
    - "optimal design of energy efficient multi user mimo systems is massive mimo the answer"
    - "framework for link level energy efficiency optimization with informed transmitter"
    - "energy efficient precoding for multiple antenna terminals"
    - "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria"
    - "competitive design of multiuser mimo systems based on game theory a unified view"

Connected through hyperedge HE-6 (induced by source paper "learning equilibria of a stochastic game on gaussian interference channels with incomplete information"):
  with members:
    - "distributed learning policies for power allocation in multiple access channels"

Connected through hyperedge HE-7 (induced by source paper "power allocation games on interference channels with complete and partial information"):
  with members:
    - "algorithms for stochastic games on interference channels"

Connected through hyperedge HE-8 (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"
    - "averaged iterative water filling algorithm robustness and convergence"
    - "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"

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)