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 "reusing wireless power transfer for backscatter assisted relaying in wpcns"):
  Abstract: User cooperation is an effective technique to tackle the severe near-far user unfairness problem in wireless powered communication networks (WPCNs). In this paper, we consider a WPCN where two collaborating wireless devices (WDs) first harvest wireless energy from a hybrid access point (HAP) and then transmit their information to the HAP. The WD with the stronger WD-to-HAP channel helps relay the message of the other weaker user. In particular, we exploit the use of ambient backscatter communication during the wireless energy transfer phase, where the weaker user backscatters the received energy signal to transmit its information to the relay user in a passive manner. By doing so, the relay user can reuse the energy signal for simultaneous energy harvesting and information decoding (e.g., using an energy detector). Compared to active information transmission in conventional WPCNs, the proposed method effectively saves the energy and time consumed by the weaker user on information transmission during cooperation. With the proposed backscatter-assisted relaying scheme, we jointly optimize the time and power allocations on wireless energy and information transmissions to maximize the common throughput. Specifically, we derive the semi-closed-form expressions of the optimal solution and propose a low-complexity optimal algorithm to solve the joint optimization problem. By comparing with some representative benchmark methods, we simulate under extensive network setups and demonstrate that the proposed cooperation method effectively improves the throughput performance in WPCNs.

Includes members:
  Member "backscatter assisted relaying in wireless powered communications network":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "throughput maximization for ambient backscatter communication a reinforcement learning approach")
  Member "deep reinforcement learning for online computation offloading in wireless powered mobile edge computing networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "stacked auto encoder based deep reinforcement learning for online resource scheduling in large scale mec networks")
  Member "joint tx power allocation and rx power splitting for swipt system with multiple nonlinear energy harvesting circuits":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "collaborative computation offloading in wireless powered mobile edge computing systems")
  Member "multi antenna enabled cluster based cooperation in wireless powered communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "collaborative computation offloading in wireless powered mobile edge computing systems")
  Member "distributed scheduling in wireless powered communication network protocol design and performance analysis":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "reusing wireless power transfer for backscatter assisted cooperation in wpcn")
  Member "ambient backscatter communications a contemporary survey":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "irs based wireless jamming attacks when jammers can attack without power")
  Member "user cooperation for enhanced throughput fairness in wireless powered communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "collaborative computation offloading in wireless powered mobile edge computing systems")
  Member "distributed charging control in broadband wireless power transfer networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "optimizing throughput fairness of cluster based cooperation in underlay cognitive wpcns")

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.NI(Networking and Internet Architecture)