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 "downlink secrecy rate of one bit massive mimo system with active eavesdropping"):
  Abstract: In this study, we consider the physical layer security in the downlink of a Massive MIMO system employing one-bit quantization at the base station (BS). We assume an active eavesdropper that attempts to spoiling the channel estimation acquisition at the BS for a legitimate user, whereas overhearing on downlink transmission. We consider the two most widespread methods for degrading the eavesdropper’s channel, the nullspace artificial noise (NS-AN) and random artificial noise (R-AN). Then, we present a lower bound on the secrecy rate and asymptotic performance, considering zero-forcing beamforming (ZF-BF) and maximum-ratio transmission beamforming (MRT-BF). Our results reveal that even when the eavesdropper is close enough to the intercepted user, a positive secrecy rate–which tends to saturation with increasing the number of BS antennas #N#   $N$   #N#—is possible, as long as the transmit power of eavesdropper is less than that of the legitimate user during channel training. We show that ZF-BF with NS-AN provides the best performance. It is found that MRT-BF and ZF-BF are equivalent in the asymptotic limit of #N#   $N$   #N# and hence the artificial noise technique is the performance indicator. Moreover, we study the impact of #N# power-scaling law #N# on the secrecy rate. When the transmit power of BS is reduced proportional to #N#   $1/N$   #N#, the performance is independent of artificial noise asymptotically and hence the beamforming technique is the performance indicator. In addition, when the BS’s power is reduced proportional to #N#   $1/\sqrt {N}$   #N#, all combinations of beamforming and artificial noise schemes are equally likely asymptotically, independent of quantization noise. We present various numerical results to corroborate our analysis.

Includes members:
  Member "robust designs of beamforming and power splitting for distributed antenna systems with wireless energy harvesting":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "energy efficiency optimization for secure transmission in miso cognitive radio network with energy harvesting")
  Member "secure massive mimo communication with low resolution dacs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "secure communication for spatially sparse millimeter wave massive mimo channels via hybrid precoding")
  Member "on the uplink achievable rate for massive mimo with 1 bit adc and superimposed pilots":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "learning based rate adaptation for uplink massive mimo networks with cooperative data assisted detection")
  Member "data aided secure massive mimo transmission with active eavesdropping":
    also connected through other hyperedges:
      (none)
  Member "secure massive mimo systems with limited rf chains":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "enabling security and high energy efficiency in the internet of things with massive mimo hybrid precoding")
  Member "secure transmission with large numbers of antennas and finite alphabet inputs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "data aided secure massive mimo transmission under the pilot contamination attack")
  Member "jamming resistant receivers for the massive mimo uplink":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "blind channel separation in massive mimo system under pilot spoofing and jamming attack")
  Member "beamforming and power splitting designs for an aided secure multi user mimo swipt systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "energy efficiency optimization for secure transmission in miso cognitive radio network with energy harvesting")

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)