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: "riding on the primary a new spectrum sharing paradigm for wireless powered iot devices"
  Abstract: In this paper, a new spectrum sharing model referred to as riding on the primary (ROP) is proposed for wireless-powered IoT devices with ambient backscatter communication capabilities. The key idea of ROP is that the secondary transmitter harvests energy from the primary signal, then modulates its information bits to the primary signal, and reflects the modulated signal to the secondary receiver without violating the primary system's interference requirement. Compared with the conventional spectrum sharing model, the secondary system in the proposed ROP not only utilizes the spectrum of the primary system but also takes advantage of the primary signal to harvest energy and to carry its information. In this paper, we investigate the performance of such a spectrum sharing system under fading channels. To be specific, we maximize the ergodic capacity of the secondary system by jointly optimizing the transmit power of the primary signal and the reflection coefficient of the secondary ambient backscatter. Different (ideal/practical) energy consumption models, different (peak/average) transmit power constraints, different types (fixed/dynamically adjustable) reflection coefficient, different primary system's interference requirements (rate/outage) are considered. Optimal power allocation and reflection coefficient are obtained for each scenario.

Connected through hyperedge HE-1 (induced by source paper "joint time scheduling and transaction fee selection in blockchain based rf powered backscatter cognitive radio network"):
  with members:
    - "deep reinforcement learning for time scheduling in rf powered backscatter cognitive radio networks"
    - "reinforcement learning approach for rf powered cognitive radio network with ambient backscatter"
    - "wireless powered asynchronous backscatter networks with sporadic short packets performance analysis and optimization"
    - "deep reinforcement learning for dynamic multichannel access in wireless networks"
    - "stackelberg game for distributed time scheduling in rf powered backscatter cognitive radio networks"
    - "blockchained on device federated learning"
    - "joint transaction transmission and channel selection in cognitive radio based blockchain networks a deep reinforcement learning approach"
    - "a blockchain based approach for data accountability and provenance tracking"

Connected through hyperedge HE-2 (induced by source paper "throughput maximization for uav aided backscatter communication networks"):
  with members:
    - "3d trajectory optimization in rician fading for uav enabled data harvesting"
    - "uav aided offloading for cellular hotspot"
    - "securing uav communications via joint trajectory and power control"
    - "spectral and energy efficient wireless powered iot networks noma or tdma"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "power control in uav supported ultra dense networks communications caching and energy transfer"
    - "energy efficient data collection in uav enabled wireless sensor network"
    - "uav enabled wireless power transfer trajectory design and energy optimization"

Connected through hyperedge HE-3 (induced by source paper "large intelligent surface antennas lisa making reflective radios smart"):
  with members:
    - "miso wireless communication systems via intelligent reflecting surfaces"
    - "enabling large intelligent surfaces with compressive sensing and deep learning"
    - "cooperative ambient backscatter communications for green internet of things"
    - "achievable rate maximization by passive intelligent mirrors"
    - "intelligent reflecting surface enhanced wireless network via joint active and passive beamforming"
    - "symbiotic radio a new communication paradigm for passive internet of things"
    - "beamforming optimization for intelligent reflecting surface with discrete phase shifts"
    - "reconfigurable intelligent surfaces for energy efficiency in wireless communication"

Connected through hyperedge HE-4 (induced by source paper "energy efficient resource allocation for wirelessly powered backscatter communications"):
  with members:
    - "multiuser wirelessly powered backscatter communications nonlinearity waveform design and sinr energy tradeoff"
    - "wirelessly powered backscatter communications waveform design and snr energy tradeoff"
    - "wireless powered device to device communications with ambient backscattering performance modeling and analysis"
    - "ambient backscatter communications a contemporary survey"
    - "waveform design for wireless power transfer"
    - "wirelessly powered backscatter communication networks modeling coverage and capacity"
    - "communications and signals design for wireless power transmission"
    - "wireless networks with rf energy harvesting a contemporary survey"

Connected through hyperedge HE-5 (induced by source paper "beamforming design in multiple input multiple output symbiotic radio backscatter systems"):
  with members:
    - "modulation in the air backscatter communication over ambient ofdm carrier"
    - "what will 5g be"

Connected through hyperedge HE-6 (induced by source paper "ergodic rate analysis of cooperative ambient backscatter communication"):
  with members:
    - "cooperative ambient backscatter communications for green internet of things"
    - "mimo relaying broadcast channels with linear precoding and quantized channel state information feedback"

Connected through hyperedge HE-7 (induced by source paper "decentralized caching schemes and performance limits in two layer networks"):
  with members:
    - "low subpacketization schemes for coded caching"
    - "modeling analysis and optimization of coded caching in small cell networks"
    - "on edge caching with secrecy constraints"
    - "decentralized coded caching with distinct cache capacities"
    - "improved approximation of storage rate tradeoff for caching with multiple demands"
    - "fundamental limits of secretive coded caching"
    - "caching aided coded multicasting with multiple random requests"
    - "order optimal rate of caching and coded multicasting with random demands"

Connected through hyperedge HE-8 (induced by source paper "optimal resource allocation in full duplex ambient backscatter communication networks for wireless powered iot"):
  with members:
    - "cooperative ambient backscatter communications for green internet of things"
    - "wireless powered asynchronous backscatter networks with sporadic short packets performance analysis and optimization"
    - "lora backscatter enabling the vision of ubiquitous connectivity"
    - "backscatter multiplicative multiple access systems fundamental limits and practical design"
    - "fm backscatter enabling connected cities and smart fabrics"
    - "modulation in the air backscatter communication over ambient ofdm carrier"
    - "throughput optimization for massive mimo systems powered by wireless energy transfer"
    - "multi antenna wireless energy transfer for backscatter communication systems"

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)