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: "arq with adaptive feedback for energy harvesting receivers"
  Abstract: Automatic repeat request (ARQ) is widely used in modern communication systems to improve transmission reliability. In conventional ARQ protocols developed for systems with energy-unconstrained receivers, an acknowledgement/negative-acknowledgement (ACK/NACK) message is fed back when decoding succeeds/fails. Such kind of non-adaptive feedback consumes significant amount of energy, and thus will limit the performance of systems with energy harvesting (EH) receivers. In order to overcome this limitation and to utilize the harvested energy more efficiently, we propose a novel ARQ protocol for EH receivers, where the ACK feedback can be adapted based upon the receiver's EH state. Two conventional ARQ protocols are also considered. By adopting the packet drop probability (PDP) as the performance metric, we formulate the throughput constrained PDP minimization problem for a communication link with a non-EH transmitter and an EH receiver. Optimal reception policies including the sampling, decoding and feedback strategies, are developed for different ARQ protocols. Simulation results will show that the proposed ARQ protocol not only outperforms the conventional ARQs in terms of PDP, but can also achieve a higher throughput.

Connected through hyperedge HE-1 (induced by source paper "rate control for wireless powered communication network with reliability and delay constraints"):
  with members:
    - "statistical analysis of multiple antenna strategies for wireless energy transfer"
    - "spectral and energy efficient wireless powered iot networks noma or tdma"
    - "ultra reliable and low latency communications in 5g downlink physical layer aspects"
    - "ultra reliable cooperative short packet communications with wireless energy transfer"
    - "wireless powered relaying with finite block length codes"
    - "wirelessly powered communication networks with short packets"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "subblock constrained codes for real time simultaneous energy and information transfer"

Connected through hyperedge HE-2 (induced by source paper "swipt using hybrid arq over time varying channels"):
  with members:
    - "channel sensing and communication over a time correlated channel with an energy harvesting transmitter"
    - "energy management for energy harvesting wireless sensors with adaptive retransmission"
    - "on distributed power control for uncoordinated dual energy harvesting links performance bounds and near optimal policies"
    - "on optimal policies in full duplex wireless powered communication networks"
    - "communications and signals design for wireless power transmission"
    - "optimal policies for wireless networks with energy harvesting transmitters and receivers effects of decoding costs"
    - "wireless powered relays in cooperative communications time switching relaying protocols and throughput analysis"
    - "powering the next billion devices with wi fi"

Connected through hyperedge HE-3 (induced by source paper "wireless data acquisition for edge learning data importance aware retransmission"):
  with members:
    - "machine learning at the wireless edge distributed stochastic gradient descent over the air"
    - "towards federated learning at scale system design"
    - "label less learning for traffic control in an edge network"
    - "wireless network intelligence at the edge"
    - "federated learning strategies for improving communication efficiency"
    - "broadband analog aggregation for low latency federated edge learning extended version"
    - "federated learning via over the air computation"
    - "fast analog transmission for high mobility wireless data acquisition in edge learning"

Connected through hyperedge HE-4 (induced by source paper "dynamic computation offloading for mobile edge computing with energy harvesting devices"):
  with members:
    - "delay optimal computation task scheduling for mobile edge computing systems"
    - "grid energy consumption and qos tradeoff in hybrid energy supply wireless networks"
    - "distributed real time power balancing in renewable integrated power grids with storage and flexible loads"
    - "power delay tradeoff in multi user mobile edge computing systems"
    - "decentralized computation offloading game for mobile cloud computing"
    - "energy harvesting wireless communications a review of recent advances"
    - "energy harvesting small cell networks feasibility deployment and operation"
    - "a lyapunov optimization approach for green cellular networks with hybrid energy supplies"

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)