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: "dynamic spectrum access in cognitive radio networks with rf energy harvesting"
  Abstract: Spectrum efficiency and energy efficiency are two critical issues in designing wireless networks. Through dynamic spectrum access, cognitive radios can improve the spectrum efficiency and capacity of wireless networks. On the other hand radio frequency (RF) energy harvesting has emerged as a promising technique to supply energy to wireless networks and thereby increase their energy efficiency. Therefore, to achieve both spectrum and energy efficiencies, the secondary users in a cognitive radio network (CRN) can be equipped with the RF energy harvesting capability, and such a network can be referred to as an RF-powered cognitive radio network. In this article we provide an overview of the RF-powered CRNs and discuss the challenges that arise for dynamic spectrum access in these networks. Focusing on the trade-off among spectrum sensing, data transmission, and RF energy harvesting, we then discuss the dynamic channel selection problem in a multi-channel RF-powered CRN. In the RF-powered CRN a secondary user can adaptively select a channel to transmit data when the channel is not occupied by any primary user. Alternatively, the secondary user can harvest RF energy for data transmission if the channel is occupied. The optimal channel selection policy of the secondary user can be obtained by formulating a Markov decision process (MDP) problem. We present some numerical results obtained by solving this MDP problem.

Connected through hyperedge HE-1 (induced by source paper "compressive spectrum sensing for cognitive radio networks"):
  with members:
    - "techniques for dealing with uncertainty in cognitive radio networks"
    - "double detector for sparse signal detection from one bit compressed sensing measurements"
    - "one bit compressive sensing of dictionary sparse signals"
    - "a survey of sparse representation algorithms and applications"
    - "spectrum occupancy measurement an autocorrelation based scanning technique using usrp"
    - "matched filter detection with dynamic threshold for cognitive radio networks"
    - "a bayesian network model of the bit error rate for cognitive radio networks"
    - "compressive signal processing with circulant sensing matrices"

Connected through hyperedge HE-2 (induced by source paper "accelerated structure aware reinforcement learning for delay sensitive energy harvesting wireless sensors"):
  with members:
    - "structural properties of optimal transmission policies for delay sensitive energy harvesting wireless sensors"
    - "aerial uav iot sensing for ubiquitous immersive communication and virtual human teleportation"
    - "viewport adaptive navigable 360 degree video delivery"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"
    - "fast reinforcement learning for energy efficient wireless communication"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "optimal packet scheduling in an energy harvesting communication system"

Connected through hyperedge HE-3 (induced by source paper "structural properties of optimal transmission policies for delay sensitive energy harvesting wireless sensors"):
  with members:
    - "optimal energy allocation for wireless communications with energy harvesting constraints"
    - "fast reinforcement learning for energy efficient wireless communication"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "optimal packet scheduling in an energy harvesting communication system"
    - "optimal energy management policies for energy harvesting sensor nodes"

Connected through hyperedge HE-4 (induced by source paper "wireless powered device to device communications with ambient backscattering performance modeling and analysis"):
  with members:
    - "analysis of wireless powered device to device communications with ambient backscattering"
    - "wireless charging technologies fundamentals standards and network applications"
    - "wirelessly powered backscatter communication networks modeling coverage and capacity"
    - "downlink coverage probability in a cellular network with ginibre deployed base stations and nakagami m fading channels"
    - "resource allocation in wireless networks with rf energy harvesting and transfer"
    - "wireless powered communication opportunities and challenges"
    - "performance analysis of ambient rf energy harvesting with repulsive point process modeling"
    - "hierarchical cooperation for operator controlled device to device communications a layered coalitional game approach"

Connected through hyperedge HE-5 (induced by source paper "analysis of wireless powered device to device communications with ambient backscattering"):
  with members:
    - "wireless charging technologies fundamentals standards and network applications"
    - "resource allocation in wireless networks with rf energy harvesting and transfer"
    - "hierarchical cooperation for operator controlled device to device communications a layered coalitional game approach"
    - "wireless charger networking for mobile devices fundamentals standards and applications"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "performance analysis of ambient rf energy harvesting a stochastic geometry approach"
    - "throughput maximization in wireless powered communication networks"

Connected through hyperedge HE-6 (induced by source paper "ambient backscatter networking a novel paradigm to assist wireless powered communications"):
  with members:
    - "analysis of wireless powered device to device communications with ambient backscattering"
    - "resource allocation in wireless networks with rf energy harvesting and transfer"
    - "performance analysis of ambient rf energy harvesting a stochastic geometry approach"
    - "full duplex wireless powered relay with self energy recycling"

Connected through hyperedge HE-7 (induced by source paper "spectrum sensing techniques for cognitive radio networks"):
  with members:
    - "spectrum occupancy measurement an autocorrelation based scanning technique using usrp"
    - "matched filter detection with dynamic threshold for cognitive radio networks"

Connected through hyperedge HE-8 (induced by source paper "wireless charging technologies fundamentals standards and network applications"):
  with members:
    - "secrecy wireless information and power transfer in fading wiretap channel"
    - "resource allocation in wireless networks with rf energy harvesting and transfer"
    - "wireless powered communication opportunities and challenges"
    - "performance analysis of ambient rf energy harvesting with repulsive point process modeling"
    - "distributed power splitting for swipt in relay interference channels using game theory"
    - "green wireless power transfer networks"
    - "energy harvesting wireless communications a review of recent advances"
    - "joint wireless information and power transfer for an autonomous multiple antenna relay system"

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.NI(Networking and Internet Architecture)