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 "resource optimization with load coupling in multi cell noma"):
  Abstract: Optimizing non-orthogonal multiple access (NOMA) in multi-cell scenarios is much more challenging than the single-cell case because inter-cell interference must be considered. Most papers addressing NOMA consider a single cell. We take a significant step of analyzing NOMA in multi-cell scenarios. We explore the potential of NOMA networks in achieving optimal resource utilization with arbitrary topologies. Towards this goal, we investigate a broad class of problems consisting in optimizing power allocation and user pairing for any cost function that is monotonically increasing in time-frequency resource consump- tion. We propose an algorithm that achieves global optimality for this problem class. The basic idea is to prove that solving the joint optimization problem of power allocation, user pair selection, and time-frequency resource allocation amounts to solving a so-called iterated function without a closed form. We prove that the algorithm approaches optimality with fast convergence. Numerically, we evaluate and demonstrate the performance of NOMA for multi-cell scenarios in terms of resource efficiency and load balancing.

Includes members:
  Member "a robust machine learning method for cell load approximation in wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "machine learning in the air")
  Member "a framework for optimizing multi cell noma delivering demand with less resource":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a note on decoding order in optimizing multi cell noma")
  Member "on optimal power allocation for downlink non orthogonal multiple access systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "downlink analysis of noma enabled cellular networks with 3gpp inspired user ranking")
  Member "energy aware wireless relay selection in load coupled ofdma cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a note on decoding order in optimizing multi cell noma")
  Member "sub channel assignment power allocation and user scheduling for non orthogonal multiple access networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "resource allocation in intelligent reflecting surface assisted noma systems")
  Member "load optimization with user association in cooperative and load coupled lte networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a note on decoding order in optimizing multi cell noma")
  Member "elementary properties of positive concave mappings with applications to network planning and optimization":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a note on decoding order in optimizing multi cell noma")
  Member "power and channel allocation for non orthogonal multiple access in 5g systems tractability and computation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "non orthogonal multiple access noma how it meets 5g and beyond")

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)