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 "backscatter communications for internet of things theory and applications"):
  Abstract: The Internet-of-Things (IoT) is an emerging concept of network connectivity at anytime and anywhere for billions of everyday objects, which has recently attracted tremendous attentions from both the industry and academia. The rapid growth of IoT has been driven by recent advancements in consumer electronics, wireless network densification, 5G communication technologies [e.g., millimeter wave and massive multiple-input and multiple-output (MIMO)], and cloud-computing enabled big-data analytics. One of the remaining key challenges for IoT is the limited network lifetime due to massive IoT devices being powered by batteries with finite capacities. The low-power and low-complexity backscatter communications (BackCom) has emerged to be a promising technology for tackling the challenge. In this article, we present an overview of the active area by discussing basic principles, system and network architectures and relevant techniques. Last, we describe the IoT applications for BackCom and how the technology can solve the energy challenge for IoT.

Includes members:
  Member "backscatter multiplicative multiple access systems fundamental limits and practical design":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "coverage probability analysis under clustered ambient backscatter nodes")
  Member "ambient backscatter communications a contemporary survey":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "irs based wireless jamming attacks when jammers can attack without power")
  Member "waveform design for wireless power transfer":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "wirelessly powered sensor networks power allocation for channel estimation and energy beamforming")
  Member "full duplex backscatter interference networks based on time hopping spread spectrum":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "backscatter data collection with unmanned ground vehicle mobility management and power allocation")
  Member "inter technology backscatter towards internet connectivity for implanted devices":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "design of ambient backscatter training for retrodirective wireless power transfer")
  Member "wireless communications with unmanned aerial vehicles opportunities and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "joint trajectory and resource allocation design for energy efficient secure uav communication systems")
  Member "multi antenna wireless energy transfer for backscatter communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "energy efficient uav backscatter communication with joint trajectory design and resource optimization")
  Member "in band full duplex wireless challenges and opportunities":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "resource allocation for irs assisted full duplex cognitive radio 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)