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 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. Namely, any problem consisting in optimizing power allocation and user pairing in NOMA with a cost function that is monotonically increasing in time-frequency resource consumption, falls into our problem class. We propose an algorithm that solves the problems optimally 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 framework for optimizing multi cell noma delivering demand with less resource":
    also connected through other hyperedges:
      - Hyperedge HE-1 (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-2 (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-3 (induced by source paper "a note on decoding order in optimizing multi cell noma")
  Member "load optimization with user association in cooperative and load coupled lte networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (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-5 (induced by source paper "a note on decoding order in optimizing multi cell noma")
  Member "energy efficiency of distributed signal processing in wireless networks a cross layer analysis":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "downlink non orthogonal multiple access noma in poisson networks")
  Member "non orthogonal multiple access in multi cell networks theory performance and practical challenges":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "interplay between noma and other emerging technologies a survey")
  Member "power and load coupling in cellular networks for energy optimization":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a note on decoding order in optimizing multi cell noma")

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)