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 "channel aided interference alignment"):
  Abstract: Interference alignment (IA) techniques mostly attain their degrees of freedom (DoF) benefits as the number of channel extensions tends to infinity. Intuitively, the more interfering signals that need to be aligned, the larger the number of dimensions needed to align them. This requirement poses a major challenge for IA in practical systems. This work evaluates the necessary and sufficient conditions on channel structure of a fully connected interference network with time-varying fading to make perfect IA feasible within limited number of channel extensions. We propose a method based on the obtained conditions on the channel structure to achieve perfect IA. For the case of $3$ user interference channel, it is shown that only one condition on channel coefficients is required to make perfect IA feasible at all receivers. IA feasibility literature have mainly focused on network topology so far. In contrast, derived channel aiding conditions in this work can be considered as the perfect IA feasibility conditions on channel structure.

Includes members:
  Member "the feasibility conditions for interference alignment in mimo networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "topological interference management with user admission control via riemannian optimization")
  Member "opportunistic interference alignment for mimo interfering multiple access channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multi stream opportunistic network decoupling relay selection and interference management")
  Member "the approximate sum capacity of the symmetric gaussian k user interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "private information retrieval over gaussian mac")
  Member "ergodic fading interference channels sum capacity and separability":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "interference regime enforcing rate maximization for non orthogonal multiple access noma")
  Member "degrees of freedom region for an interference network with general message demands":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "treating content delivery in multi antenna coded caching as general message sets transmission a dof region perspective")
  Member "delay rate tradeoff for ergodic interference alignment in the gaussian case":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "delay rate tradeoff in ergodic interference alignment")
  Member "ergodic interference alignment":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the interference channel revisited aligning interference by adjusting receive antenna separation")
  Member "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels":
    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)