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 "availability aware cell association for hybrid power supply networks with adaptive bias"):
  Abstract: New challenges have emerged from the integration of renewable energy sources within the conventional electrical grid which powers base stations (BS) and traffic offloading brings a promising solution to maintain the network performance while reducing the carbon footprint. In this work, we consider a three-tier downlink cellular network consisting of on-grid, off-grid and hybrid BSs, and design a novel power-aware biased cell association where each user partitions BSs into two sets, regardless of their effective tier but based on the type of power, renewable or not, that can be requested for service. Then, a different association bias is applied for each set. To capture their dual nature, the bias applied for association with a hybrid BS is not constant among users, nor over time, and is dynamically tailored to the fluctuations of the BS battery level, the user power requirement and the estimated power consumed to serve other users potentially associated with the same BS. Next, we develop for such strategy a tractable performance analysis, using stochastic geometry, and investigate the biases minimizing the grid power consumption. The proposed cell association allows to efficiently share the available energy among BSs and takes advantage of higher heterogeneity in the BS powering.

Includes members:
  Member "distributed user association in energy harvesting small cell networks an exchange economy with uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "energy efficient resource allocation in machine to machine communications with multiple access and energy harvesting for iot")
  Member "grid energy consumption and qos tradeoff in hybrid energy supply wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey on mobile edge computing the communication perspective")
  Member "power availability aware cell association for energy harvesting small cell base stations":
    also connected through other hyperedges:
      (none)
  Member "comp meets smart grid a new communication and energy cooperation paradigm":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "cross layer scheduling and beamforming in smart grid powered cellular networks with heterogeneous energy coordination")
  Member "energy harvesting small cell networks feasibility deployment and operation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy efficient optimization of wireless powered 5g full duplex cellular networks a mean field game approach")
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "fundamentals of heterogeneous cellular networks with energy harvesting":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "joint energy and sinr coverage in spatially clustered rf powered iot network")
  Member "offloading in heterogeneous networks modeling analysis and design insights":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "smart radio environments empowered by ai reconfigurable meta surfaces an idea whose time has come")

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)