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 "secure massive mimo communication with low resolution dacs"):
  Abstract: In this paper, we investigate secure transmission in a massive multiple-input multiple-output system adopting low-resolution digital-to-analog converters (DACs). Artificial noise (AN) is deliberately transmitted simultaneously with the confidential signals to degrade the eavesdropper's channel quality. By applying the Bussgang theorem, a DAC quantization model is developed which facilitates the analysis of the asymptotic achievable secrecy rate. Interestingly, for a fixed power allocation factor φ, low-resolution DACs typically result in a secrecy rate loss, but in certain cases, they provide superior performance, e.g., at low signal-to-noise ratio (SNR). Specifically, we derive a closed-form SNR threshold which determines whether low-resolution or high-resolution DACs are preferable for improving the secrecy rate. Furthermore, a closed-form expression for the optimal φ is derived. With AN generated in the null-space of the user channel and the optimal φ, low-resolution DACs inevitably cause secrecy rate loss. On the other hand, for random AN with the optimal φ, the secrecy rate is hardly affected by the DAC resolution because the negative impact of the quantization noise can be compensated by reducing the AN power. All the derived analytical results are verified by numerical simulations.

Includes members:
  Member "optimal multiuser loading in quantized massive mimo under spatially correlated channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "slnr based precoding for one bit quantized massive mimo in mmwave communications")
  Member "mimo channel information feedback using deep recurrent network":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dl based csi feedback and cooperative recovery in massive mimo")
  Member "quantized constant envelope precoding with psk and qam signaling":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "spectral efficiency of one bit sigma delta massive mimo")
  Member "on performance of quantized transceiver in multiuser massive mimo downlinks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimal multiuser loading in quantized massive mimo under spatially correlated channels")
  Member "spectral and energy efficiency of multi pair massive mimo relay network with hybrid processing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hybrid transceiver optimization for multi hop communications")
  Member "power efficient and secure wpcns with hardware impairments and non linear eh circuit":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "secrecy throughput maximization for full duplex wireless powered iot networks under fairness constraints")
  Member "a tractable framework for performance analysis of dense multi antenna networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a unified framework for the tractable analysis of multi antenna wireless networks")
  Member "analysis of one bit quantized precoding for the multiuser massive mimo downlink":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "downlink secrecy rate of one bit massive mimo system with active eavesdropping")

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)