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 "on the capacity region of the two user interference channel"):
  Abstract: One of the key open problems in network information theory is to obtain the capacity region for the two-user Interference Channel (IC). In this paper, new results are derived for this channel. As a first result, a noisy interference regime is given for the general IC where the sum-rate capacity is achieved by treating interference as noise at the receivers. To obtain this result, a single-letter outer bound in terms of some auxiliary random variables is first established for the sum-rate capacity of the general IC and then those conditions under which this outer bound is reduced to the achievable sum-rate given by the simple treating interference as noise strategy are specified. The main benefit of this approach is that it is applicable for any two-user IC (potentially non-Gaussian). For the special case of Gaussian channel, our result is reduced to the noisy interference regime that was previously obtained. Next, some results are given on the Han-Kobayashi (HK) achievable rate region. The evaluation of this rate region is in general difficult. In this paper, a simple characterization of the HK rate region is derived for some special cases, specifically, for a novel very weak interference regime. As a remarkable characteristic, it is shown that for this very weak interference regime, the achievable sum-rate due to the HK region is identical to the one given by the simple treating interference as noise strategy.

Includes members:
  Member "the k user interference channel strong interference regime":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "novel outer bounds and capacity results for the interference channel with conferencing receivers")
  Member "on the sum capacity of the discrete memoryless interference channel with one sided weak interference and mixed interference":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fundamental limits of communications in interference networks part i basic structures")
  Member "how much rate splitting is required for a random coding scheme a new achievable rate region for the broadcast channel with cognitive relays":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the k user interference channel strong interference regime")
  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 "interference networks with general message sets a random coding scheme":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "capacity bounds for wireless ergodic fading broadcast channels with partial csit")
  Member "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "vector gaussian successive refinement with degraded side information")
  Member "capacity bounds for the gaussian interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "vector gaussian successive refinement with degraded side information")

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)