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: "artificial noise aided secure multi antenna transmission with limited feedback"
  Abstract: We present an optimized secure multi-antenna transmission approach based on artificial-noise-aided beamforming, with limited feedback from a desired single-antenna receiver. To deal with beamformer quantization errors as well as unknown eavesdropper channel characteristics, our approach is aimed at maximizing throughput under dual performance constraints—a connection outage constraint on the desired communication channel and a secrecy outage constraint to guard against eavesdropping. We propose an adaptive transmission strategy that judiciously selects the wiretap coding parameters, as well as the power allocation between the artificial noise and the information signal. This optimized solution reveals several important differences with respect to solutions designed previously under the assumption of perfect feedback. We also investigate the problem of how to most efficiently utilize the feedback bits. The simulation results indicate that a good design strategy is to use approximately 20% of these bits to quantize the channel gain information, with the remainder to quantize the channel direction, and this allocation is largely insensitive to the secrecy outage constraint imposed. In addition, we find that 8 feedback bits per transmit antenna is sufficient to achieve approximately 90% of the throughput attainable with perfect feedback.

Connected through hyperedge HE-1 (induced by source paper "physical layer security enhancement for satellite communication among similar channels relay selection and power allocation"):
  with members:
    - "physical layer security of a buffer aided full duplex relaying system"
    - "location based beamforming and physical layer security in rician wiretap channels"
    - "spatially selective artificial noise aided transmit optimization for miso multi eves secrecy rate maximization"
    - "on the design of artificial noise aided secure multi antenna transmission in slow fading channels"

Connected through hyperedge HE-2 (induced by source paper "hybrid spatio temporal artificial noise design for secure mimome ofdm systems"):
  with members:
    - "physical layer security in heterogeneous cellular networks"
    - "massive mimo for next generation wireless systems"
    - "principles of physical layer security in multiuser wireless networks a survey"
    - "power allocation and time domain artificial noise design for wiretap ofdm with discrete inputs"
    - "filter design with secrecy constraints the mimo gaussian wiretap channel"
    - "secure transmission with artificial noise over fading channels achievable rate and optimal power allocation"
    - "secured communication over frequency selective fading channels a practical vandermonde precoding"

Connected through hyperedge HE-3 (induced by source paper "artificial noise aided secure transmission in wiretap channels with transmitter side correlation"):
  with members:
    - "linear precoding of data and artificial noise in secure massive mimo systems"
    - "location based beamforming for enhancing secrecy in rician wiretap channels"
    - "achieving secrecy without knowing the number of eavesdropper antennas"
    - "physical layer security for massive mimo an overview on passive eavesdropping and active attacks"
    - "optimization of code rates in sisome wiretap channels"
    - "improving physical layer secrecy using full duplex jamming receivers"
    - "spatially selective artificial noise aided transmit optimization for miso multi eves secrecy rate maximization"
    - "on the design of artificial noise aided secure multi antenna transmission in slow fading channels"

Connected through hyperedge HE-4 (induced by source paper "optimal power allocation for artificial noise under imperfect csi against spatially random eavesdroppers"):
  with members:
    - "physical layer security in downlink multi antenna cellular networks"
    - "on the design of artificial noise aided secure multi antenna transmission in slow fading channels"
    - "robust beamforming for security in mimo wiretap channels with imperfect csi"
    - "design guidelines for training based mimo systems with feedback"

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)