human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "on the two user multi carrier joint channel selection and power control game"):
  Abstract: In this paper, we propose a hierarchical game approach to model the energy efficiency maximization problem, where transmitters individually choose their channel assignment and power control. We conduct a thorough analysis of the existence, uniqueness, and characterization of the Stackelberg equilibrium. Interestingly, we formally show that a spectrum orthogonalization naturally occurs when users decide sequentially about their transmitting carriers and powers, delivering a binary channel assignment. Both analytical and simulation results are provided for assessing and improving the performances in terms of energy efficiency and spectrum utilization between the simultaneous-move game (with synchronous decision makers), the social welfare (in a centralized manner), and the proposed Stackelberg (hierarchical) game. For the first time, we provide tight closed-form bounds on the spectral efficiency of such a model, including correlation across carriers and users. We show that the spectrum orthogonalization capability induced by the proposed hierarchical game model enables the wireless network to achieve the spectral efficiency improvement while still enjoying a high energy efficiency.

Includes members:
  Member "toward fully coordinated multi level multi carrier energy efficient networks":
    also connected through other hyperedges:
      (none)
  Member "spectrum coordination in energy efficient cognitive radio networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "game theory for multi access edge computing survey use cases and future trends")
  Member "on the energy spectral efficiency trade off of the mrc receiver in massive mimo systems with transceiver power consumption":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a cmdp based approach for energy efficient power allocation in massive mimo systems")
  Member "spectral efficiency and energy efficiency of ofdm systems impact of power amplifiers and countermeasures":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fundamental green tradeoffs progresses challenges and impacts on 5g networks")
  Member "quantifying potential energy efficiency gain in green cellular wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy sustainable paradigms and methods for future mobile networks a survey")
  Member "a game theoretic analysis for energy efficient heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "distributed power control with partial channel state information performance characterization and design")
  Member "energy efficient precoding for multiple antenna terminals":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "decision set optimization and energy efficient mimo communications")
  Member "introducing hierarchy in energy games":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "distributed power control with partial channel state information performance characterization and design")

Question: Please tell me which class the source paper 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)