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 "a survey of rate optimal power domain noma schemes for enabling technologies of future wireless networks"):
  Abstract: Non-orthogonal multiple access (NOMA) schemes serve more than one user in the same resource block by multiplexing users in other domains than frequency and time. In this way, NOMA schemes offer several advantages over orthogonal multiple access (OMA) schemes such as improved user fairness and spectral efficiency, higher cell-edge throughput, massive connectivity support, and low transmission latency. With these merits, NOMA transmission schemes are being increasingly looked at as a promising multiple access scheme for future wireless networks. When the power domain is used to multiplex users, it is referred to as the power domain NOMA (PDNOMA) scheme. In this paper, we survey the integration of the PD-NOMA scheme with other upcoming communication schemes and technologies that satisfy the requirements of 5G and beyond 5G (B5G) networks. In particular, this paper surveys the rate optimization schemes studied in the literature when the PD-NOMA scheme is combined with MIMO and massive MIMO (mMIMO), millimeter wave (mmWave) communications, coordinated multi-point (CoMP) transmission and reception, cooperative communications, cognitive radio (CR), visible light communications (VLC), and unmanned aerial vehicle (UAV) assisted communications. The considered system models, the optimization methods used to maximize the achievable rates, and the main outcomes on the performance of these NOMA-enabled schemes are discussed along with future research directions for these combined schemes.

Includes members:
  Member "generalized coordinated multipoint gcomp enabled noma outage capacity and power allocation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "simultaneous energy harvesting and information transmission in a mimo full duplex system a machine learning based design")
  Member "what role can noma play in massive mimo":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "code domain noma in massive mimo when is it needed")
  Member "uav data collection over noma backscatter networks uav altitude and trajectory optimization":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "mobility assisted over the air computation for backscatter sensor networks")
  Member "uav communications for 5g and beyond recent advances and future trends":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "physical layer security for noma transmission in mmwave drone networks")
  Member "when full duplex wireless meets non orthogonal multiple access opportunities and challenges":
    also connected through other hyperedges:
      (none)
  Member "on optimizing vlc networks for downlink multi user transmission a survey":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "from a human centric perspective what might 6g be")
  Member "beam design and user scheduling for nonorthogonal multiple access with multiple antennas based on pareto optimality":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "design of non orthogonal beamspace multiple access for cellular internet of things")
  Member "spatial modulation assisted multi antenna non orthogonal multiple access":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on spatial modulation in emerging wireless systems research progresses and applications")

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)