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 "exploiting channel correlations simple interference alignment schemes with no csit"):
  Abstract: We explore a few selected multiuser communication problems where the possibility of interference alignment, and consequently, the total number of degrees of freedom (DoF) with channel uncertainty at the transmitters are unknown. These problems share the common property that in each case the best known outer bounds are essentially robust to channel uncertainty and represent the outcome with interference alignment, but the best inner bounds -- in some cases conjectured to be optimal -- predict a total collapse of DoF, thus indicating the infeasibility of interference alignment under channel uncertainty at transmitters. Our main contribution is to show that even with no knowledge of channel coefficient values at the transmitters, the knowledge of the channels' correlation structure can be exploited to achieve interference alignment.

Includes members:
  Member "error exponents for the gaussian channel with active noisy feedback":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "achievable error exponents of one way and two way awgn channels")
  Member "real interference alignment with real numbers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "linear degrees of freedom of mimo broadcast channels with reconfigurable antennas in the absence of csit")
  Member "on the degrees of freedom of the k user gaussian interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "real interference alignment exploiting the potential of single antenna systems")
  Member "on degrees of freedom region of mimo networks without csit":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the degrees of freedom region of temporally correlated mimo networks with delayed csit")
  Member "ergodic interference alignment":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the interference channel revisited aligning interference by adjusting receive antenna separation")
  Member "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "two user simo interference channel with tin improper signaling versus time sharing")
  Member "capacity of symmetric k user gaussian very strong interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "strong interference alignment")
  Member "interference alignment for line of sight channels":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "cyclic interference alignment and cancellation in 3 user x networks with minimal backhaul")

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)