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: "online power control optimization for wireless transmission with energy harvesting and storage"
  Abstract: We consider wireless transmission over fading channel powered by energy harvesting and storage devices. Assuming a finite battery storage capacity, we design an online power control strategy aiming at maximizing the long-term time-averaged transmission rate under battery operational constraints for energy harvesting. We first formulate the stochastic optimization problem, and then develop techniques to transform this problem and employ techniques from Lyapunov optimization to design the online power control solution. In particular, we propose an approach to handle unbounded channel fade which cannot by directly dealt with by Lyapunov framework. Our proposed algorithm determines the transmission power based only on the current energy state of the battery and channel fade conditions, without requiring any knowledge of the statistics of energy arrivals or fading channels. Our online power control solution is a three-stage closed-form solution depending on the battery energy level. It not only provides strategic energy conservation through the battery energy control, but also reveals an opportunistic transmission style based on fading condition, both of which improve the long-term time-averaged transmission rate. We further characterize the performance bound of our proposed algorithm to the optimal solution with a general fading distribution. Simulation results demonstrate a significant performance gain of our proposed online algorithm over alternative online approaches.

Connected through hyperedge HE-1 (induced by source paper "online power allocation at energy harvesting transmitter for multiple receivers with and without individual rate constraints for oma and noma transmissions"):
  with members:
    - "stochastic control of computation offloading to a helper with a dynamically loaded cpu"
    - "dynamic computation offloading for mobile edge computing with energy harvesting devices"
    - "energy efficient transmission design in non orthogonal multiple access"
    - "energy efficient resource allocation in ofdma systems with hybrid energy harvesting base station"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"

Connected through hyperedge HE-2 (induced by source paper "age minimal transmission for energy harvesting sensors with finite batteries online policies"):
  with members:
    - "using erasure feedback for online timely updating with an energy harvesting sensor"
    - "online timely status updates with erasures for energy harvesting sensors"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "coded status updates in an energy harvesting erasure channel"
    - "status updates in a multi stream m g 1 1 preemptive queue"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"
    - "sending information through status updates"
    - "scheduling status updates to minimize age of information with an energy harvesting sensor"

Connected through hyperedge HE-3 (induced by source paper "energy harvesting networks with general utility functions near optimal online policies"):
  with members:
    - "finite horizon energy efficient scheduling with energy harvesting transmitters over fading channels"
    - "optimal offline and competitive online strategies for transmitter receiver energy harvesting"
    - "optimal policies for wireless networks with energy harvesting transmitters and receivers effects of decoding costs"
    - "iterative dynamic water filling for fading multiple access channels with energy harvesting"
    - "energy harvesting networks with energy cooperation procrastinating policies"
    - "universally near optimal online power control for energy harvesting nodes"
    - "energy harvesting broadband communication systems with processing energy cost"
    - "finite horizon online lazy scheduling with energy harvesting transmitters over fading channels"

Connected through hyperedge HE-4 (induced by source paper "energy harvesting communication using finite capacity batteries with internal resistance"):
  with members:
    - "energy harvesting wireless communications a review of recent advances"
    - "energy harvesting broadband communication systems with processing energy cost"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"
    - "optimal save then transmit protocol for energy harvesting wireless transmitters"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"
    - "a general framework for the optimization of energy harvesting communication systems with battery imperfections"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "optimum transmission policies for battery limited energy harvesting nodes"

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)