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: "comp meets smart grid a new communication and energy cooperation paradigm"
  Abstract: In this paper, we pursue a unified study on smart grid and coordinated multipoint (CoMP)-enabled wireless communication by investigating a new joint communication and energy cooperation approach. We consider a practical CoMP system with clustered multiple-antenna base stations (BSs) cooperatively communicating with multiple single-antenna mobile terminals (MTs), where each BS is equipped with local renewable energy generators to supply power, as well as a smart meter to enable two-way energy flow with the grid. We propose a new  energy cooperation  paradigm, where a group of BSs dynamically shares their renewable energy for more efficient operation via locally injecting/drawing power to/from an aggregator with a zero effective sum energy exchanged. Under this new energy cooperation model, we consider the downlink transmission in one CoMP cluster with cooperative zero-forcing (ZF)-based precoding at the BSs. We maximize the weighted sum rate for all MTs by jointly optimizing the transmit power allocations at cooperative BSs and their exchanged energy amounts subject to a new type of power constraints featuring energy cooperation among BSs with practical loss ratios. Our new setup with BSs' energy cooperation generalizes the conventional CoMP transmit optimization under BSs' sum-power or individual-power constraints. It is shown that, with energy cooperation, the optimal throughput is achieved when all BSs transmit with all of their available power, which is different from the conventional CoMP schemes without energy cooperation where BSs' individual power constraints may not all be tight at the same time. This result implies that some harvested energy may be wasted with no use in the conventional setup due to the lack of energy sharing among BSs, whereas the total energy harvested at all BSs is efficiently utilized for throughput maximization with the proposed energy cooperation, thus leading to a new  energy cooperation gain . Finally, we validate our results by simulations under various practical setups and show that the proposed joint communication and energy cooperation scheme substantially improves the downlink throughput of CoMP systems powered by smart grid and renewable energy, as compared with other suboptimal designs without communication and/or energy cooperation.

Connected through hyperedge HE-1 (induced by source paper "cross layer scheduling and beamforming in smart grid powered cellular networks with heterogeneous energy coordination"):
  with members:
    - "deep reinforcement learning for adaptive caching in hierarchical content delivery networks"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "robust energy efficient beamforming in misome swipt systems with proportional secrecy rate"
    - "dynamic cross layer beamforming in hybrid powered communication systems with harvest use trade strategy"
    - "a hybrid energy sharing framework for green cellular networks"
    - "an overview of sustainable green 5g networks"
    - "ergodic energy management leveraging resource variability in distribution grids"
    - "power delay tradeoff with predictive scheduling in integrated cellular and wi fi networks"

Connected through hyperedge HE-2 (induced by source paper "throughput maximization for uav aided backscatter communication networks"):
  with members:
    - "3d trajectory optimization in rician fading for uav enabled data harvesting"
    - "uav aided offloading for cellular hotspot"
    - "securing uav communications via joint trajectory and power control"
    - "spectral and energy efficient wireless powered iot networks noma or tdma"
    - "riding on the primary a new spectrum sharing paradigm for wireless powered iot devices"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "power control in uav supported ultra dense networks communications caching and energy transfer"
    - "energy efficient data collection in uav enabled wireless sensor network"

Connected through hyperedge HE-3 (induced by source paper "energy sustainable paradigms and methods for future mobile networks a survey"):
  with members:
    - "information exchange in randomly deployed dense wsns with wireless energy harvesting capabilities"
    - "a stochastic geometry based demand response management framework for cellular networks powered by smart grid"
    - "fog computing based radio access networks issues and challenges"
    - "a hybrid energy sharing framework for green cellular networks"
    - "recent advances in cloud radio access networks system architectures key techniques and open issues"
    - "green networking in cellular hetnets a unified radio resource management framework with base station on off switching"
    - "online ski rental for on off scheduling of energy harvesting base stations"
    - "dynamic clustering and on off strategies for wireless small cell networks"

Connected through hyperedge HE-4 (induced by source paper "dynamic cross layer beamforming in hybrid powered communication systems with harvest use trade strategy"):
  with members:
    - "energy harvesting wireless communications a review of recent advances"
    - "a general utility optimization framework for energy harvesting based wireless communications"
    - "a lyapunov optimization approach for green cellular networks with hybrid energy supplies"
    - "cost minimization for fading channels with energy harvesting and conventional energy"
    - "cost aware green cellular networks with energy and communication cooperation"
    - "cooperative energy trading in comp systems powered by smart grids"
    - "energy efficient resource allocation in ofdma systems with hybrid energy harvesting base station"
    - "green cellular networks a survey some research issues and challenges"

Connected through hyperedge HE-5 (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"
    - "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"
    - "base station sleeping and resource allocation in renewable energy powered cellular networks"

Connected through hyperedge HE-6 (induced by source paper "optimizing df cognitive radio networks with full duplex enabled energy access points"):
  with members:
    - "robust resource allocation for mimo wireless powered communication networks based on a non linear eh model"
    - "wireless powered communication networks an overview"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "cognitive wireless powered network spectrum sharing models and throughput maximization"
    - "wireless powered cooperative jamming for secrecy multi af relaying networks"
    - "energy efficient resource allocation for wireless powered communication networks"
    - "joint resource optimization for multicell networks with wireless energy harvesting relays"
    - "information and energy cooperation in cognitive radio networks"

Connected through hyperedge HE-7 (induced by source paper "joint energy bandwidth allocation for multi user channels with cooperating hybrid energy nodes"):
  with members:
    - "iterative dynamic water filling for fading multiple access channels with energy harvesting"
    - "joint energy and spectrum cooperation for cellular communication systems"
    - "energy cooperation in energy harvesting communications"
    - "throughput maximization for the gaussian relay channel with energy harvesting constraints"
    - "energy cooperation in cellular networks with renewable powered base stations"
    - "optimal power allocation for energy harvesting and power grid coexisting wireless communication systems"
    - "relaying protocols for wireless energy harvesting and information processing"
    - "decentralized delay optimal control for interference networks with limited renewable energy storage"

Connected through hyperedge HE-8 (induced by source paper "inter tier interference suppression in heterogeneous cloud radio access networks"):
  with members:
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "system architecture and key technologies for 5g heterogeneous cloud radio access networks"
    - "joint power and antenna selection optimization in large cloud radio access networks"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"
    - "ergodic capacity analysis of remote radio head associations in cloud radio access networks"
    - "sparse beamforming and user centric clustering for downlink cloud radio access network"
    - "multi user linear precoding for multi polarized massive mimo system under imperfect csit"
    - "group sparse beamforming for green cloud ran"

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)