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: "dynamic power allocation games in parallel multiple access channels"
  Abstract: We analyze the distributed power allocation problem in parallel multiple access channels (MAC) by studying an associated non-cooperative game which admits an exact potential. Even though games of this type have been the subject of considerable study in the literature, we find that the sufficient conditions which ensure uniqueness of Nash equilibrium points typically do not hold in this context. Nonetheless, we show that the parallel MAC game admits a unique equilibrium almost surely, thus establishing an important class of counterexamples where these sufficient conditions are not necessary. Furthermore, if the network's users employ a distributed learning scheme based on the replicator dynamics, we show that they converge to equilibrium from almost any initial condition, even though users only have local information at their disposal.

Connected through hyperedge HE-1 (induced by source paper "cost efficient throughput maximization in multi carrier cognitive radio systems"):
  with members:
    - "what will 5g be"
    - "transmit without regrets online optimization in mimo ofdm cognitive radio systems"
    - "distributed learning policies for power allocation in multiple access channels"

Connected through hyperedge HE-2 (induced by source paper "coalitional games for transmitter cooperation in mimo multiple access channels"):
  with members:
    - "distributed learning policies for power allocation in multiple access channels"
    - "the capacity of mimo channels with per antenna power constraint"
    - "power allocation games in wireless networks of multi antenna terminals"
    - "methodologies for analyzing equilibria in wireless games"
    - "coalitions in cooperative wireless networks"
    - "cores of cooperative games in information theory"

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"
    - "averaged iterative water filling algorithm robustness and convergence"
    - "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 "distributed learning policies for power allocation in multiple access channels"):
  with members:
    - "power allocation games in wireless networks of multi antenna terminals"
    - "methodologies for analyzing equilibria in wireless games"
    - "on the base station selection and base station sharing in self configuring networks"
    - "the mimo iterative waterfilling algorithm"
    - "competitive design of multiuser mimo systems based on game theory a unified view"
    - "correlated anarchy in overlapping wireless networks"
    - "optimal linear precoding strategies for wideband non cooperative systems based on game theory part ii algorithms"
    - "energy efficient resource allocation in wireless networks"

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.GT(Computer Science and Game Theory)