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 achievable rate regions for state dependent gaussian interference channel"):
  Abstract: In this paper, we study a general additive state-dependent Gaussian interference channel (ASD-GIC) where we consider two-user interference channel with two independent states known non-causally at both transmitters, but unknown to either of the receivers. An special case, where the additive states over the two links are the same is studied in [1], [2], in which it is shown that the gap between the achievable symmetric rate and the upper bound is less than 1/4 bit for the strong interference case. Here, we also consider the case where each channel state has unbounded variance [3], which is referred to as the strong interferences. We first obtain an outer bound on the capacity region. By utilizing lattice-based coding schemes, we obtain four achievable rate regions. Depend on noise variance and channel power constraint, achievable rate regions can coincide with the channel capacity region. For the symmetric model, the achievable sum-rate reaches to within 0.661 bit of the channel capacity for signal to noise ratio (SNR) greater than one.

Includes members:
  Member "interference channel with state information":
    also connected through other hyperedges:
      (none)
  Member "interference channels with source cooperation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "gdof of interference channel with limited cooperation under finite precision csit")
  Member "the gaussian interference relay channel improved achievable rates and sum rate upperbounds using a potent relay":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "approximate capacity of fast fading interference channels with no instantaneous csit")
  Member "feedback capacity of the gaussian interference channel to within 2 bits":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "capacity limits of full duplex cellular network")
  Member "lattice strategies for the dirty multiple access channel":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "towards an algebraic network information theory simultaneous joint typicality decoding")
  Member "compute and forward harnessing interference through structured codes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "private information retrieval over gaussian mac")
  Member "an achievable rate region for interference channels with conferencing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "interference and x networks with noisy cooperation and feedback")
  Member "gaussian interference channel capacity to within one bit":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic")

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)