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 "power efficient resource allocation for mc noma with statistical channel state information"):
  Abstract: In this paper, we study the power-efficient resource allocation for multicarrier non-orthogonal multiple access (MC-NOMA) systems. The resource allocation algorithm design is formulated as a non-convex optimization problem which takes into account the statistical channel state information at transmitter and quality of service (QoS) constraints. To strike a balance between system performance and computational complexity, we propose a suboptimal power allocation and user scheduling with low computational complexity to minimize the total power consumption. The proposed design exploits the heterogeneity of QoS requirement to determine the successive interference cancellation decoding order. Simulation results demonstrate that the proposed scheme achieves a close-to-optimal performance and significantly outperforms a conventional orthogonal multiple access (OMA) scheme.

Includes members:
  Member "nonorthogonal multiple access in large scale underlay cognitive radio networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "resource allocation for irs assisted full duplex cognitive radio systems")
  Member "optimal joint power and subcarrier allocation for mc noma systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "non orthogonal multiple access noma how it meets 5g and beyond")
  Member "secrecy sum rate maximization in non orthogonal multiple access":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "physical layer security for noma transmission in mmwave drone networks")
  Member "fairness for non orthogonal multiple access in 5g systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "resource allocation technique for hybrid tdma noma system with opportunistic time assignment")
  Member "application of non orthogonal multiple access in lte and 5g networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on the security and the evolution of osmotic and catalytic computing for 5g networks")
  Member "on the performance of non orthogonal multiple access in 5g systems with randomly deployed users":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "performance analysis of intelligent reflecting surface assisted noma networks")

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)