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 "rate splitting multiple access for downlink communication systems bridging generalizing and outperforming sdma and noma"):
  Abstract: Space-division multiple access (SDMA) utilizes linear precoding to separate users in the spatial domain and relies on fully treating any residual multi-user interference as noise. Non-orthogonal multiple access (NOMA) uses linearly precoded superposition coding with successive interference cancellation (SIC) to superpose users in the power domain and relies on user grouping and ordering to enforce some users to fully decode and cancel interference created by other users.

Includes members:
  Member "rate splitting for max min fair multigroup multicast beamforming in overloaded systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "rate splitting multiple access for multi antenna downlink communication systems spectral and energy efficiency tradeoff")
  Member "optimal dof region of the k user miso bc with partial csit":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a rate splitting strategy for mitigating intra cell pilot contamination in massive mimo")
  Member "multiuser millimeter wave beamforming strategies with quantized and statistical csit":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "rate splitting multiple access for multi antenna downlink communication systems spectral and energy efficiency tradeoff")
  Member "rate splitting to mitigate residual transceiver hardware impairments in massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optical rate splitting multiple access for visible light communications")
  Member "capacity comparison between mimo noma and mimo oma with multiple users in a cluster":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mimo noma networks relying on reconfigurable intelligent surface a signal cancellation based design")
  Member "sum rate maximization for linearly precoded downlink multiuser miso systems with partial csit a rate splitting approach":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "rate splitting multiple access for multi antenna downlink communication systems spectral and energy efficiency tradeoff")
  Member "achievable dof regions of mimo networks with imperfect csit":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "study of linear precoding and stream combining for rate splitting in mu mimo systems")
  Member "miso networks with imperfect csit a topological rate splitting approach":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "on the separability of parallel miso broadcast channels under partial csit a degrees of freedom region perspective")

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)