human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "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.

Connected through hyperedge HE-1 (induced by source paper "the k user interference channel strong interference regime"):
  with members:
    - "fundamental limits of communications in interference networks part iii information flow in strong interference regime"
    - "fundamental limits of communications in interference networks part i basic structures"
    - "fundamental limits of communications in interference networks part ii information flow in degraded networks"
    - "fundamental limits of communications in interference networks part iv networks with a sequence of less noisy receivers"
    - "interference networks with general message sets a random coding scheme"
    - "lecture notes on network information theory"
    - "capacity of symmetric k user gaussian very strong interference channels"

Connected through hyperedge HE-2 (induced by source paper "on the capacity region of the two user interference channel"):
  with members:
    - "the k user interference channel strong interference regime"
    - "on the sum capacity of the discrete memoryless interference channel with one sided weak interference and mixed interference"
    - "fundamental limits of communications in interference networks part i basic structures"
    - "fundamental limits of communications in interference networks part ii information flow in degraded networks"
    - "interference networks with general message sets a random coding scheme"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"

Question: Please tell me which class the center node 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)