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: "optimal scheduling and power allocation for two hop energy harvesting communication systems"
  Abstract: Energy harvesting (EH) has recently emerged as a promising technique for green communications. To realize its potential, communication protocols need to be redesigned to combat the randomness of the harvested energy. In this paper, we investigate how to apply relaying to improve the short-term performance of EH communication systems. With an EH source and a non-EH half-duplex relay, we consider two different design objectives: 1) short-term throughput maximization; and 2) transmission completion time minimization. Both problems are joint time scheduling and power allocation problems, rendered quite challenging by the half-duplex constraint at the relay. A key finding is that directional water-filling (DWF), which is the optimal power allocation algorithm for the single-hop EH system, can serve as guideline for the design of two-hop communication systems, as it not only determines the value of the optimal performance, but also forms the basis to derive optimal solutions for both design problems. Based on a relaxed energy profile along with the DWF algorithm, we derive key properties of the optimal solutions for both problems and thereafter propose efficient algorithms. Simulation results will show that both time scheduling and power allocation optimizations are necessary in two-hop EH communication systems.

Connected through hyperedge HE-1 (induced by source paper "single or multiple frames content delivery for robust and secure communication in energy and spectrum efficient 5g networks"):
  with members:
    - "cost effective cache deployment in mobile heterogeneous networks"
    - "fairness and transmission aware caching and delivery policies in ofdma based hetnets"
    - "a new look at physical layer security caching and wireless energy harvesting for heterogeneous ultra dense networks"
    - "limited feedback scheme for device to device communications in 5g cellular networks with reliability and cellular secrecy outage constraints"
    - "joint backhaul access analysis of full duplex self backhauling heterogeneous networks"
    - "green ofdma resource allocation in cache enabled cran"
    - "joint hybrid backhaul and access links design in cloud radio access networks"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"

Connected through hyperedge HE-2 (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"
    - "online power control optimization for wireless transmission with energy harvesting and storage"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "near optimal online distortion minimization for energy harvesting nodes"):
  with members:
    - "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"
    - "source channel coding under energy delay and buffer constraints"
    - "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"
    - "energy cooperation in energy harvesting communications"

Connected through hyperedge HE-4 (induced by source paper "multi agent reinforcement learning for energy harvesting two hop communications with a partially observable state"):
  with members:
    - "multi access communications with energy harvesting a multi armed bandit model and the optimality of the myopic policy"
    - "iterative dynamic water filling for fading multiple access channels with energy harvesting"
    - "energy harvesting two hop communication networks"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"
    - "throughput maximization for an energy harvesting communication system with processing cost"
    - "optimal save then transmit protocol for energy harvesting wireless transmitters"
    - "optimal transmission policies for energy harvesting two hop networks"

Connected through hyperedge HE-5 (induced by source paper "distributed power control for delay optimization in energy harvesting cooperative relay networks"):
  with members:
    - "energy harvesting two hop communication networks"
    - "learning to cooperate via policy search"
    - "power allocation strategies in energy harvesting wireless cooperative networks"
    - "power allocation for conventional and buffer aided link adaptive relaying systems with energy harvesting nodes"
    - "on green energy powered cognitive radio networks"
    - "throughput maximization for the gaussian relay channel with energy harvesting constraints"
    - "a survey on delay aware resource control for wireless systems large deviation theory stochastic lyapunov drift and distributed stochastic learning"
    - "two hop communication with energy harvesting"

Connected through hyperedge HE-6 (induced by source paper "multi agent reinforcement learning for energy harvesting two hop communications with full cooperation"):
  with members:
    - "multi access communications with energy harvesting a multi armed bandit model and the optimality of the myopic policy"
    - "energy harvesting two hop communication networks"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "optimal save then transmit protocol for energy harvesting wireless transmitters"
    - "two hop communication with energy harvesting"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "optimum transmission policies for battery limited energy harvesting nodes"
    - "the multi way relay channel"

Connected through hyperedge HE-7 (induced by source paper "grid energy consumption and qos tradeoff in hybrid energy supply wireless networks"):
  with members:
    - "transmit power minimization for wireless networks with energy harvesting relays"
    - "energy harvesting wireless communications a review of recent advances"
    - "comp meets smart grid a new communication and energy cooperation paradigm"
    - "energy harvesting small cell networks feasibility deployment and operation"
    - "a lyapunov optimization approach for green cellular networks with hybrid energy supplies"
    - "cost minimization for fading channels with energy harvesting and conventional energy"
    - "power allocation for conventional and buffer aided link adaptive relaying systems with energy harvesting nodes"
    - "multiuser joint energy bandwidth allocation with energy harvesting part i optimum algorithm multiple point to point channels"

Connected through hyperedge HE-8 (induced by source paper "stochastic online control for energy harvesting wireless networks with battery imperfections"):
  with members:
    - "energy harvesting broadband communication systems with processing energy cost"
    - "throughput maximization for the gaussian relay channel with energy harvesting constraints"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "throughput optimal policies for energy harvesting wireless transmitters with non ideal circuit power"
    - "optimal save then transmit protocol for energy harvesting wireless transmitters"
    - "broadcasting with an energy harvesting rechargeable transmitter"
    - "sum rate optimal power policies for energy harvesting transmitters in an interference channel"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"

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)