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: "power control in networks with heterogeneous users a quasi variational inequality approach"
  Abstract: This paper deals with the power allocation problem in a multipoint-to-multipoint network, which is heterogenous in the sense that each transmit and receiver pair can arbitrarily choose whether to selfishly maximize its own rate or energy efficiency. This is achieved by modeling the transmit and receiver pairs as rational players that engage in a noncooperative game in which the utility function changes according to each player’s nature. The underlying game is reformulated as a quasi variational inequality (QVI) problem using convex fractional program theory. The equivalence between the QVI and the noncooperative game provides us with all the mathematical tools to study the uniqueness of its Nash equilibrium points and to derive novel algorithms that allow the network to converge to these points in an iterative manner, both with and without the need for a centralized processing. Numerical results are used to validate the proposed solutions in different operating conditions.

Connected through hyperedge HE-1 (induced by source paper "uncertainty in multi commodity routing networks when does it help"):
  with members:
    - "how much urban traffic is searching for parking"
    - "effects of information heterogeneity in bayesian routing games"
    - "informational braess paradox the effect of information on traffic congestion"
    - "to observe or not to observe queuing game framework for urban parking"
    - "the burden of risk aversion in mean risk selfish routing"
    - "congestion games with distance based strict uncertainty"

Connected through hyperedge HE-2 (induced by source paper "energy efficient power control a look at 5g wireless technologies"):
  with members:
    - "energy aware competitive power allocation for heterogeneous networks under qos constraints"
    - "massive mimo with non ideal arbitrary arrays hardware scaling laws and circuit aware design"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"
    - "energy efficient scheduling and power allocation in downlink ofdma networks with base station coordination"
    - "massive mimo for maximal spectral efficiency how many users and pilots should be allocated"
    - "five disruptive technology directions for 5g"
    - "energy efficiency optimization for mimo broadcast channels"
    - "framework for link level energy efficiency optimization with informed transmitter"

Connected through hyperedge HE-3 (induced by source paper "distributed optimization of hierarchical small cell networks a gnep framework"):
  with members:
    - "energy efficient power control a look at 5g wireless technologies"
    - "energy aware competitive power allocation for heterogeneous networks under qos constraints"
    - "tier aware resource allocation in ofdma macrocell small cell networks"
    - "optimal user cell association for massive mimo wireless networks"
    - "what will 5g be"
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"
    - "real and complex monotone communication games"
    - "power control in two tier femtocell networks"

Connected through hyperedge HE-4 (induced by source paper "energy aware competitive power allocation for heterogeneous networks under qos constraints"):
  with members:
    - "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"
    - "distributed power allocation with rate constraints in gaussian parallel 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)