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 "how much rate splitting is required for a random coding scheme a new achievable rate region for the broadcast channel with cognitive relays"):
  Abstract: In this paper, it is shown that for any given single-hop communication network with two receivers, splitting messages into more than two sub-messages in a random coding scheme is redundant. To this end, the Broadcast Channel with Cognitive Relays (BCCR) is considered. A novel achievability scheme is designed for this network. Our achievability design is derived by a systematic combination of the best known achievability schemes for the basic building blocks included in the network: the Han-Kobayashi scheme for the two-user interference channel and the Marton coding scheme for the broadcast channel. Meanwhile, in our scheme each private message is split into only two sub-messages which is identically exploited also in the Han-Kobayashi scheme. It is shown that the resultant achievable rate region includes previous results as well. More importantly, the procedure of the achievability design is described by graphical illustrations based on directed graphs. Then, it is argued that by extending the proposed scheme on the MACCM plan of messages, one can derive similar achievability schemes for any other single-hop communication network.

Includes members:
  Member "fundamental limits of communications in interference networks part iii information flow in strong interference regime":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the k user interference channel strong interference regime")
  Member "capacity theorems for the cognitive radio channel with confidential messages":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "enhancing phy security of cooperative cognitive radio multicast communications")
  Member "evaluation of marton s inner bound for the general broadcast channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the direction of discrimination an information theoretic analysis of disparate impact in machine learning")
  Member "fundamental limits of communications in interference networks part i basic structures":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the capacity region of the wireless ergodic fading interference channel with partial csit to within one bit")
  Member "fundamental limits of communications in interference networks part ii information flow in degraded networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the capacity region of the wireless ergodic fading interference channel with partial csit to within one bit")
  Member "fundamental limits of communications in interference networks part iv networks with a sequence of less noisy receivers":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the k user interference channel strong interference regime")
  Member "interference networks with general message sets a random coding scheme":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "capacity bounds for wireless ergodic fading broadcast channels with partial csit")
  Member "capacity bounds and exact results for the cognitive z interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "relay channel with orthogonal components and structured interference known at the source")

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)