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: "a parameterized base station power model"
  Abstract: Power models are needed to assess the power consumption of cellular base stations (BSs) on an abstract level. Currently available models are either too simplified to cover necessary aspects or overly complex. We provide a parameterized linear power model which covers the individual aspects of a BS which are relevant for a power consumption analysis, especially the transmission bandwidth and the number of radio chains. Details reflecting the underlying architecture are abstracted in favor of simplicity and applicability. We identify current power-saving techniques of cellular networks for which this model can be used. Furthermore, the parameter set of typical commercial BSs is provided and compared to the underlying complex model. The complex model is well approximated while only using a fraction of the input parameters.

Connected through hyperedge HE-1 (induced by source paper "separation framework an enabler for cooperative and d2d communication for future 5g networks"):
  with members:
    - "d2d enhanced heterogeneous cellular networks with dynamic tdd"
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "software defined networking a comprehensive survey"
    - "a survey on device to device communication in cellular networks"
    - "what will 5g be"
    - "cache enabled opportunistic cooperative mimo for video streaming in wireless systems"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "hierarchical radio resource optimization for heterogeneous networks with enhanced inter cell interference coordination eicic"

Connected through hyperedge HE-2 (induced by source paper "load coupling power optimization in cloud radio access networks"):
  with members:
    - "coordinate update algorithms for robust power loading for the mu miso downlink with outage constraints"
    - "power and load coupling in cellular networks for energy optimization"
    - "energy efficient resource assignment and power allocation in heterogeneous cloud radio access networks"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "analysis of cell load coupling for lte network planning and optimization"

Connected through hyperedge HE-3 (induced by source paper "semi dynamic green resource management in downlink heterogeneous networks by group sparse power control"):
  with members:
    - "optimizing user association and spectrum allocation in hetnets a utility perspective"
    - "what will 5g be"
    - "group sparse beamforming for green cloud ran"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "user association for load balancing in heterogeneous cellular networks"

Connected through hyperedge HE-4 (induced by source paper "spatial topology adjustment for minimizing multicell network power consumption"):
  with members:
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "green cellular networks a survey some research issues and challenges"
    - "a tractable approach to coverage and rate in cellular networks"
    - "analytical evaluation of fractional frequency reuse for ofdma cellular networks"

Connected through hyperedge HE-5 (induced by source paper "energy efficient resource allocation for fractional frequency reuse in heterogeneous networks"):
  with members:
    - "quantifying potential energy efficiency gain in green cellular wireless networks"
    - "interference based cell selection in heterogenous networks"
    - "analytical evaluation of fractional frequency reuse for heterogeneous cellular networks"

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)