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 unified framework for non orthogonal multiple access"):
  Abstract: This paper proposes a unified framework of non-orthogonal multiple access (NOMA) networks. Stochastic geometry is employed to model the locations of spatially NOMA users. The proposed unified NOMA framework is capable of being applied to both code-domain NOMA (CD-NOMA) and power-domain NOMA (PD-NOMA). Since the detection of NOMA users mainly depend on efficient successive interference cancelation (SIC) schemes, both imperfect SIC (ipSIC) and perfect SIC (pSIC) are taken into account. To characterize the performance of the proposed unified NOMA framework, the exact and asymptotic expressions of outage probabilities as well as delay-limited throughput for CD/PD-NOMA with ipSIC/pSIC are derived. In order to obtain more insights, the diversity analysis of a pair of NOMA users (i.e., the  n th user and  m th user) is provided. Our analytical results reveal that: 1) the diversity orders of  m th and  n th user with pSIC for CD-NOMA are  mK  and  nK , respectively; 2) due to the influence of residual interference, the  n th user with ipSIC obtains a zero diversity order; and 3) the diversity order is determined by the user who has the poorer channel conditions out of the pair. Finally, Monte Carlo simulations are presented to verify the analytical results: 1) when the number of subcarriers becomes lager, the NOMA users are capable of achieving more steep slope in terms of outage probability and 2) the outage behavior of CD-NOMA is superior to that of PD-NOMA.

Includes members:
  Member "exploiting full half duplex user relaying in noma systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "performance analysis of intelligent reflecting surface assisted noma networks")
  Member "user association and resource allocation in unified noma enabled heterogeneous ultra dense networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "resource allocation in intelligent reflecting surface assisted noma systems")
  Member "performance analysis of noma with fixed gain relaying over nakagami m fading channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "performance analysis of intelligent reflecting surface assisted noma networks")
  Member "power domain non orthogonal multiple access noma in 5g systems potentials and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "mimo noma networks relying on reconfigurable intelligent surface a signal cancellation based design")
  Member "modulation and multiple access for 5g networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "capacity and optimal resource allocation for irs assisted multi user communication systems")
  Member "fundamentals of modeling finite wireless networks using binomial point process":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "air to air communications beyond 5g a novel 3d comp transmission scheme")
  Member "on the spectral efficiency and security enhancements of noma assisted multicast unicast streaming":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "energy efficient hybrid precoding design for integrated multicast unicast millimeter wave communications with swipt")
  Member "enhancing the physical layer security of non orthogonal multiple access in large scale networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "mimo noma networks relying on reconfigurable intelligent surface a signal cancellation based design")

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)