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 "transceiver design to maximize the weighted sum secrecy rate in full duplex swipt systems"):
  Abstract: This letter considers secrecy simultaneous wireless information and power transfer (SWIPT) in full-duplex (FD) systems. In such a system, FD capable base station (FD-BS) is designed to transmit data to one downlink user and concurrently receive data from one uplink user, while one idle user harvests the radio-frequency (RF) signals’ energy to extend its lifetime. Moreover, to prevent eavesdropping, artificial noise (AN) is exploited by FD-BS to degrade the channel of the idle user, as well as to provide energy supply to the idle user. To maximize the weighted sum of downlink secrecy rate and uplink secrecy rate, we jointly optimize the information covariance matrix, AN covariance matrix, and receiver vector, under the constraints of the sum transmission power of FD-BS and the minimum harvested energy of the idle user. Since the problem is nonconvex, the log-exponential reformulation and sequential parametric convex approximation (SPCA) method are used. Extensive simulation results are provided and demonstrate that our proposed FD scheme extremely outperforms the half-duplex scheme.

Includes members:
  Member "on the spectral efficiency of full duplex small cell wireless systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal centralized dynamic time division duplex")
  Member "full duplex wireless powered relay with self energy recycling":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "charge then forward wireless powered communication for multiuser relay networks")
  Member "secrecy wireless information and power transfer with miso beamforming":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "energy efficient resource allocation for secure noma enabled mobile edge computing networks")
  Member "improving physical layer secrecy using full duplex jamming receivers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "state space adaptive nonlinear self interference cancellation for full duplex communication")
  Member "full duplex cooperative cognitive radio with transmit imperfections":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "resource allocation for irs assisted full duplex cognitive radio systems")
  Member "resource allocation for secure communication in systems with wireless information and power transfer":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "artificial noise aided secrecy information and power transfer in ofdma systems")
  Member "coordinated beamforming for multiuser miso interference channel under rate outage constraints":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "robust urllc packet scheduling of ofdm systems")
  Member "self interference cancellation with phase noise induced ici suppression for full duplex systems":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "self interference cancellation using time domain phase noise estimation in ofdm full duplex systems")

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)