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 "adding common randomness can remove the secrecy constraints in communication networks"):
  Abstract: In communication networks secrecy constraints usually incur an extra limit in capacity or generalized degrees-of-freedom (GDoF), in the sense that a penalty in capacity or GDoF is incurred due to the secrecy constraints. Over the past decades a significant amount of effort has been made by the researchers to understand the limits of secrecy constraints in communication networks. In this work, we focus on how to remove the secrecy constraints in communication networks, i.e., how to remove the GDoF penalty due to secrecy constraints. We begin with three basic settings: a two-user symmetric Gaussian interference channel with confidential messages, a symmetric Gaussian wiretap channel with a helper, and a two-user symmetric Gaussian multiple access wiretap channel. Interestingly, in this work we show that adding common randomness at the transmitters can totally remove the penalty in GDoF or GDoF region of the three settings considered here. The results reveal that adding common randomness at the transmitters is a powerful way to remove the secrecy constraints in communication networks in terms of GDoF performance. Common randomness can be generated offline. The role of the common randomness is to jam the information signal at the eavesdroppers, without causing too much interference at the legitimate receivers. To accomplish this role, a new method of Markov chain-based interference neutralization is proposed in the achievability schemes utilizing common randomness. From the practical point of view, we hope to use less common randomness to remove secrecy constraints in terms of GDoF performance. With this motivation, for most of the cases we characterize the minimal GDoF of common randomness to remove secrecy constraints, based on our derived converses and achievability.

Includes members:
  Member "secure communication over interference channel to jam or not to jam":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi layer interference alignment and gdof of the k user asymmetric interference channel")
  Member "adding a helper can totally remove the secrecy constraints in interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal secure gdof of symmetric gaussian wiretap channel with a helper")
  Member "optimal secure gdof of symmetric gaussian wiretap channel with a helper":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi layer interference alignment and gdof of the k user asymmetric interference channel")
  Member "secure degrees of freedom of one hop wireless networks with no eavesdropper csit":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimal secure gdof of symmetric gaussian wiretap channel with a helper")
  Member "towards a constant gap sum capacity result for the gaussian wiretap channel with a helper":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal secure gdof of symmetric gaussian wiretap channel with a helper")
  Member "finite snr regime analysis of the gaussian wiretap multiple access channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimal secure gdof of symmetric gaussian wiretap channel with a helper")
  Member "secure degrees of freedom of one hop wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "towards an algebraic network information theory simultaneous joint typicality decoding")
  Member "real interference alignment exploiting the potential of single antenna systems":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "multi antenna coded content delivery with caching a low complexity solution")

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)