human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "joint design of optimal cooperative jamming and power allocation for linear precoding"
  Abstract: Linear precoding and cooperative jamming for multiuser broadcast channel is studied to enhance the physical layer security. We consider the system where multiple independent data streams are transmitted from the base station to multiple legitimate users with the help of a friendly jammer. It is assumed that a normalized linear precoding matrix is given at the base station, whereas the power allocated to each user is to be determined. The problem is to jointly design the power allocation across different users for linear precoding and the cooperative jamming at the friendly jammer. The goal is to maximize a lower bound of the secrecy rate, provided that a minimum communication rate to the users is guaranteed. The optimal solution is obtained when the number of antennas at the friendly jammer is no less than the total number of antennas at the users and eavesdropper. Moreover, a suboptimal algorithm is proposed, which can be applied for all the scenarios. Numerical results demonstrate that the proposed schemes are effective for secure communications.

Connected through hyperedge HE-1 (induced by source paper "secrecy energy efficiency of mimome wiretap channels with full duplex jamming"):
  with members:
    - "multi tenant c ran with spectrum pooling downlink optimization under privacy constraints"
    - "exploiting full duplex receivers for achieving secret communications in multiuser miso networks"
    - "softnull many antenna full duplex wireless via digital beamforming"
    - "a survey of energy efficient techniques for 5g networks and challenges ahead"
    - "hardware impairments aware transceiver for full duplex massive mimo relaying"
    - "multi objective optimization for robust power efficient and secure full duplex wireless communication systems"
    - "robust beamforming for secure communication in systems with wireless information and power transfer"
    - "passive self interference suppression for full duplex infrastructure nodes"

Connected through hyperedge HE-2 (induced by source paper "exploiting full duplex receivers for achieving secret communications in multiuser miso networks"):
  with members:
    - "individual secrecy for broadcast channels with receiver side information"
    - "individual secrecy for the broadcast channel"
    - "multi objective optimization for robust power efficient and secure full duplex wireless communication systems"
    - "on the degrees of freedom of the mimo wiretap and mimo broadcast channels with unknown eavesdroppers"
    - "improving physical layer secrecy using full duplex jamming receivers"
    - "experiment driven characterization of full duplex wireless systems"
    - "mimo gaussian broadcast channels with confidential and common messages"
    - "capacity region of gaussian mimo broadcast channels with common and confidential messages"

Question: Please tell me which class the center node 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)