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 "noma in distributed antenna system for max min fairness and max sum rate"):
  Abstract: Distributed antenna system (DAS) has been deployed for over a decade. DAS has advantages in capacity especially for the cell edge users, in both single-cell and multi-cell environments. In this paper, non-orthogonal multiple access (NOMA) is suggested in single-cell DAS to maximize user fairness and sumrate. Two transmission strategies are considered: NOMA with single selection transmission and NOMA with blanket transmission. In a two-user scenario, the center base station (BS) uses NOMA to serve both users and the remote radio units (RRUs) serve only the weak user based on the transmission scheme. The signals sent from the RRUs are not considered as interference at both user sides. At one side, the signals from the RRUs are used to detect the required data and at the other side, the signals are used to perform successive interference cancellation (SIC). The max-min performance is studied when instantaneous channel gain information (CGI) or channel distribution information (CDI) is known at the transmitter. A closed-form expression of the upper bound is derived for the data rate of each user with only CDI. In addition, the sum-rate is studied with a minimum rate constraint when instantaneous CGI known at the transmitter. The results show that NOMA with blanket transmission gives the best performance compared to other schemes; conventional-NOMA, conventional single selection scheme and joint-transmission (JT) NOMA. It is also shown that with less transmit power, NOMA with single selection transmission gives better performance than conventional-NOMA.

Includes members:
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "on the performance of non orthogonal multiple access in 5g systems with randomly deployed users":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "performance analysis of intelligent reflecting surface assisted noma networks")
  Member "transmission schemes based on sum rate analysis in distributed antenna systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "robust designs of beamforming and power splitting for distributed antenna systems with wireless energy harvesting")

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)