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 degrees of freedom in cognitive radio channels"):
  Abstract: In this work we revisit the multiplexing gain, or degrees of freedom, of the Gaussian cognitive radio channel. Prior work has shown that the cognitive radio channel attains one degree of freedom, indicating that while cognition significantly improves rates over the interference channel at medium SNR, at high SNR the cognitive channel too is interference-limited. In this work we show that by allowing the power of the secondary user to scale infinitesimally faster than the power of the primary user, degrees of freedom arbitrarily close to 2 can be achieved. This is equal to that of an ideal 2x2 MIMO channel, and cannot be achieved in a similar manner in the interference channel.

Includes members:
  Member "the multiplexing gain of mimo x channels with partial transmit side information":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "degrees of freedom of interference channels with comp transmission and reception")
  Member "on the capacity of interference channels with degraded message sets":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "capacity of linear two hop mesh networks with rate splitting decode and forward relaying and cooperation")

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)