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: "binary energy harvesting channel with finite energy storage"
  Abstract: We consider the capacity of an energy harvesting communication channel with a finite-sized battery. As an abstraction of this problem, we consider a system where energy arrives at the encoder in multiples of a fixed quantity, and the physical layer is modeled accordingly as a finite discrete alphabet channel based on this fixed quantity. Further, for tractability, we consider the case of binary energy arrivals into a unit-capacity battery over a noiseless binary channel. Viewing the available energy as state, this is a state-dependent channel with causal state information available only at the transmitter. Further, the state is correlated over time and the channel inputs modify the future states. We show that this channel is equivalent to an additive geometric-noise timing channel with causal information of the noise available at the transmitter.We provide a single-letter capacity expression involving an auxiliary random variable, and evaluate this expression with certain auxiliary random variable selection, which resembles noise concentration and lattice-type coding in the timing channel. We evaluate the achievable rates by the proposed auxiliary selection and extend our results to noiseless ternary channels.

Connected through hyperedge HE-1 (induced by source paper "joint transfer of energy and information in a two hop relay channel"):
  with members:
    - "a survey of energy efficient techniques for 5g networks and challenges ahead"
    - "constrained codes for joint energy and information transfer"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "interactive joint transfer of energy and information"
    - "on the transfer of information and energy in multi user systems"
    - "information theoretic analysis of an energy harvesting communication system"

Connected through hyperedge HE-2 (induced by source paper "capacity of remotely powered communication"):
  with members:
    - "asymptotics of input constrained erasure channel capacity"
    - "capacity of the energy harvesting channel with a finite battery"
    - "energy harvesting wireless communications a review of recent advances"
    - "can feedback increase the capacity of the energy harvesting channel"
    - "capacity of the awgn channel with random battery recharges"
    - "universally near optimal online power control for energy harvesting nodes"
    - "subblock constrained codes for real time simultaneous energy and information transfer"
    - "near optimal energy control and approximate capacity of energy harvesting communication"

Connected through hyperedge HE-3 (induced by source paper "capacity analysis of discrete energy harvesting channels"):
  with members:
    - "capacity of the energy harvesting channel with a finite battery"
    - "can feedback increase the capacity of the energy harvesting channel"
    - "capacity of a post channel with and without feedback"
    - "a randomized approach to the capacity of finite state channels"
    - "awgn channel under time varying amplitude constraints with causal information at the transmitter"
    - "optimum transmission policies for battery limited energy harvesting nodes"
    - "optimal packet scheduling in an energy harvesting communication system"
    - "extension of the blahut arimoto algorithm for maximizing directed information"

Connected through hyperedge HE-4 (induced by source paper "non asymptotic achievable rates for energy harvesting channels using save and transmit"):
  with members:
    - "finite blocklength achievable rates for energy harvesting awgn channels with infinite buffer"
    - "capacity of the energy harvesting channel with a finite battery"
    - "energy harvesting wireless communications a review of recent advances"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "capacity of the awgn channel with random battery recharges"
    - "the third order term in the normal approximation for the awgn channel"
    - "channels with cost constraints strong converse and dispersion"
    - "near optimal energy control and approximate capacity of energy harvesting communication"

Connected through hyperedge HE-5 (induced by source paper "capacity of the energy harvesting gaussian mac"):
  with members:
    - "capacity of the energy harvesting channel with a finite battery"
    - "capacity of the awgn channel with random battery recharges"
    - "universally near optimal online power control for energy harvesting nodes"
    - "on online energy harvesting in multiple access communication systems"
    - "awgn channel under time varying amplitude constraints with causal information at the transmitter"

Connected through hyperedge HE-6 (induced by source paper "energy harvesting wireless communications a review of recent advances"):
  with members:
    - "renewable powered cellular networks energy field modeling and network coverage"
    - "dynamic compression transmission for energy harvesting multihop networks with correlated sources"
    - "constrained codes for joint energy and information transfer"
    - "energy harvesting broadband communication systems with processing energy cost"
    - "spatial throughput of mobile ad hoc networks powered by energy harvesting"
    - "energy cooperation in energy harvesting communications"
    - "interactive joint transfer of energy and information"
    - "opportunistic wireless energy harvesting in cognitive radio networks"

Connected through hyperedge HE-7 (induced by source paper "capacity of the energy harvesting channel with a finite battery"):
  with members:
    - "can feedback increase the capacity of the energy harvesting channel"
    - "capacity of the awgn channel with random battery recharges"
    - "universally near optimal online power control for energy harvesting nodes"
    - "near optimal energy control and approximate capacity of energy harvesting communication"
    - "on online energy harvesting in multiple access communication systems"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "capacity of fading gaussian channel with an energy harvesting sensor node"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"

Connected through hyperedge HE-8 (induced by source paper "capacity of the awgn channel with random battery recharges"):
  with members:
    - "capacity of the energy harvesting channel with a finite battery"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "capacity of fading gaussian channel with an energy harvesting sensor node"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "optimum transmission policies for battery limited energy harvesting nodes"
    - "basic performance limits and tradeoffs in energy harvesting sensor nodes with finite data and energy storage"
    - "optimal packet scheduling in an energy harvesting communication 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.IT(Information Theory)