human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "cross layer scheduling and beamforming in smart grid powered cellular networks with heterogeneous energy coordination"):
  Abstract: User scheduling, beamforming and energy coordination are investigated in smart-grid powered cellular networks (SGPCNs), where the base stations are powered by a smart grid and natural renewable energy sources. Heterogeneous energy coordination is considered in SGPCNs, namely energy merchandizing with the smart grid and energy exchanging among the base stations. A long-term grid-energy expenditure minimization problem with proportional-rate constraints is formulated for SGPCNs. Since user scheduling is coupled with the beamforming vectors, the formulated problem is challenging to handle via standard convex optimization methods. In practice, the beamforming vectors need to be updated over each slot according to the channel variations. User scheduling needs to be updated over several slots (frame) since the frequent scheduling of user equipment can cause reliability issues. Therefore, the Lyapunov optimization method is used to decouple the problem. A practical two-scale algorithm is proposed to schedule users at each frame, and obtain the beamforming vectors and amount of exchanged natural renewable energy at each slot. We prove that the proposed two-scale algorithm can asymptotically achieve the optimal solutions via tuning a control parameter. Numerical results verify the performance of the proposed two-scale algorithm.

Includes members:
  Member "deep reinforcement learning for adaptive caching in hierarchical content delivery networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "pa cache learning based popularity aware content caching in edge networks")
  Member "optimal 3d trajectory design and resource allocation for solar powered uav communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint trajectory and resource allocation design for energy efficient secure uav communication systems")
  Member "robust energy efficient beamforming in misome swipt systems with proportional secrecy rate":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "joint precoding and power control in small cell networks with proportional rate miso bc backhaul")
  Member "dynamic cross layer beamforming in hybrid powered communication systems with harvest use trade strategy":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cross layer scheduling and beamforming in smart grid powered small cell networks")
  Member "a hybrid energy sharing framework for green cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "spatial and temporal management of cellular hetnets with multiple solar powered drones")
  Member "an overview of sustainable green 5g networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "energy and spectral efficiency tradeoff in ofdma networks via antenna selection strategy")
  Member "ergodic energy management leveraging resource variability in distribution grids":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "real time voltage control using deep reinforcement learning")
  Member "comp meets smart grid a new communication and energy cooperation paradigm":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "throughput maximization for uav aided backscatter communication networks")

Question: Please tell me which class the source paper 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)