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 "a decentralized optimization framework for energy harvesting devices"):
  Abstract: Designing decentralized policies for wireless communication networks is a crucial problem, which has only been partially solved in the literature so far. In this paper, we propose the Decentralized Markov Decision Process (Dec-MDP) framework to analyze a wireless sensor network with multiple users which access a common wireless channel. We consider devices with energy harvesting capabilities, so that they aim at balancing the energy arrivals with the data departures and with the probability of colliding with other nodes. Randomly over time, an access point triggers a SYNC slot, wherein it recomputes the optimal transmission parameters of the whole network, and distributes this information. Every node receives its own policy, which specifies how it should access the channel in the future, and, thereafter, proceeds in a fully decentralized fashion, without interacting with other entities in the network. We propose a multi-layer Markov model, where an external MDP manages the jumps between SYNC slots, and an internal Dec-MDP computes the optimal policy in the near future. We numerically show that, because of the harvesting, a fully orthogonal scheme (e.g., TDMA-like) is suboptimal in energy harvesting scenarios, and the optimal trade-off lies between an orthogonal and a random access system.

Includes members:
  Member "battery powered devices in wpcns":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "online policies for throughput maximization of energy constrained wireless powered communication systems")
  Member "decentralized transmission policies for energy harvesting devices":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "battery powered devices in wpcns")
  Member "optimal adaptive random multiaccess in energy harvesting wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "game theory for multi access edge computing survey use cases and future trends")
  Member "energy harvesting wireless communications a review of recent advances":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "analysis of d2d communication with rf energy harvesting and interference management")
  Member "markov decision processes with applications in wireless sensor networks a survey":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimized trajectory design in uav based cellular networks for 3d users a double q learning approach")
  Member "joint transmission and energy transfer policies for energy harvesting devices with finite batteries":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an energy efficient controller for wirelessly powered communication networks")
  Member "universally near optimal online power control for energy harvesting nodes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a maximin optimal online power control policy for energy harvesting communications")
  Member "wireless networks with rf energy harvesting a contemporary survey":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "wirelessly powered sensor networks power allocation for channel estimation and energy beamforming")

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)