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 "multiuser diversity for secrecy communications using opportunistic jammer selection secure dof and jammer scaling law"):
  Abstract: In this paper, we propose opportunistic jammer selection in a wireless security system for increasing the secure degrees of freedom (DoF) between a transmitter and a legitimate receiver (say, Alice and Bob). There is a jammer group consisting of $S$ jammers among which Bob selects $K$ jammers. The selected jammers transmit independent and identically distributed Gaussian signals to hinder the eavesdropper (Eve). Since the channels of Bob and Eve are independent, we can select the jammers whose jamming channels are aligned at Bob, but not at Eve. As a result, Eve cannot obtain any DoF unless it has more than $KN_j$ receive antennas, where $N_j$ is the number of jammer's transmit antenna each, and hence $KN_j$ can be regarded as defensible dimensions against Eve. For the jamming signal alignment at Bob, we propose two opportunistic jammer selection schemes and find the scaling law of the required number of jammers for target secure DoF by a geometrical interpretation of the received signals.

Includes members:
  Member "on the achievable dof and user scaling law of opportunistic interference alignment in 3 transmitter mimo interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "opportunistic downlink interference alignment for multi cell mimo networks")
  Member "random beamforming with heterogeneous users and selective feedback individual sum rate and individual scaling laws":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fair scheduling policies exploiting multiuser diversity in cellular systems with device to device communications")
  Member "multiuser diversity in interfering broadcast channels achievable degrees of freedom and user scaling law":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "opportunistic downlink interference alignment for multi cell mimo networks")
  Member "interference alignment for secrecy":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "adding common randomness can remove the secrecy constraints in communication networks")
  Member "joint relay and jammer selection for secure two way relay networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "secure transmission and self energy recycling with partial eavesdropper csi")
  Member "on the throughput cost of physical layer security in decentralized wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "secrecy transmission in large scale uav enabled wireless networks")
  Member "ergodic secret alignment":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "secure retrospective interference alignment")
  Member "cooperative secret communication with artificial noise in symmetric interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "improving wireless physical layer security via exploiting co channel interference")

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)