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: "energy management in heterogeneous networks with cell activation user association and interference coordination"
  Abstract: The densification and expansion of wireless network pose new challenges on interference management and reducing energy consumption. This paper studies energy-efficient resource management in heterogeneous networks by jointly optimizing cell activation, user association and multicell multiuser channel assignment, according to the long-term average traffic and channel conditions. The proposed framework is built on characterizing the interference coupling by pre-defined interference patterns, and performing resource allocation among these patterns. In this way, the interference fluctuation caused by (de)activating cells is explicitly taken into account when calculating the user achievable rates. A tailored algorithm is developed to solve the formulated problem in the dual domain by exploiting the problem structure, which gives a significant complexity saving. Numerical results show a huge improvement in energy saving achieved by the proposed scheme. The user association derived from the proposed joint resource optimization is mapped to standard-compliant cell selection biasing. This mapping reveals that the cell-specific biasing for energy saving is quite different from that for load balancing investigated in the literature.

Connected through hyperedge HE-1 (induced by source paper "a centralized metropolitan scale radio resource management scheme"):
  with members:
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "the impact of unlicensed access on small cell resource allocation"
    - "energy efficient cell activation user association and spectrum allocation in heterogeneous networks"
    - "licensed and unlicensed spectrum allocation in heterogeneous networks"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "base station activation and linear transceiver design for optimal resource management in heterogeneous networks"
    - "user association for load balancing in heterogeneous cellular networks"

Connected through hyperedge HE-2 (induced by source paper "large scale spectrum allocation for cellular networks via sparse optimization"):
  with members:
    - "scalable spectrum allocation and user association in networks with many small cells"
    - "energy efficient cell activation user association and spectrum allocation in heterogeneous networks"
    - "licensed and unlicensed spectrum allocation in heterogeneous networks"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "base station activation and linear transceiver design for optimal resource management in heterogeneous networks"
    - "distributed linear precoder optimization and base station selection for an uplink heterogeneous network"
    - "user association for load balancing in heterogeneous cellular networks"

Connected through hyperedge HE-3 (induced by source paper "scalable spectrum allocation and user association in networks with many small cells"):
  with members:
    - "energy efficient cell activation user association and spectrum allocation in heterogeneous networks"
    - "traffic driven spectrum allocation in heterogeneous networks"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "base station activation and linear transceiver design for optimal resource management in heterogeneous networks"
    - "on association cells in random heterogeneous networks"
    - "distributed linear precoder optimization and base station selection for an uplink heterogeneous network"
    - "user association for load balancing in heterogeneous cellular networks"

Connected through hyperedge HE-4 (induced by source paper "scalable spectrum allocation for large networks based on sparse optimization"):
  with members:
    - "scalable spectrum allocation and user association in networks with many small cells"
    - "energy efficient cell activation user association and spectrum allocation in heterogeneous networks"
    - "traffic driven spectrum allocation in heterogeneous networks"
    - "joint user association and reuse pattern selection in heterogeneous networks"
    - "distributed linear precoder optimization and base station selection for an uplink heterogeneous network"

Connected through hyperedge HE-5 (induced by source paper "dual timescale spectrum management in wireless heterogeneous networks"):
  with members:
    - "energy efficient cell activation user association and spectrum allocation in heterogeneous networks"
    - "traffic driven spectrum allocation in heterogeneous networks"
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "base station activation and linear transceiver design for optimal resource management in heterogeneous networks"
    - "optimal joint user association and resource allocation in heterogeneous networks via sparsity pursuit"
    - "user association for load balancing in heterogeneous cellular networks"

Connected through hyperedge HE-6 (induced by source paper "dual timescale spectrum management in small cell wireless networks"):
  with members:
    - "scalable spectrum allocation and user association in networks with many small cells"
    - "traffic driven spectrum allocation in heterogeneous networks"
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "base station activation and linear transceiver design for optimal resource management in heterogeneous networks"
    - "user association for load balancing in heterogeneous cellular networks"

Connected through hyperedge HE-7 (induced by source paper "licensed and unlicensed spectrum allocation in heterogeneous networks"):
  with members:
    - "scalable spectrum allocation and user association in networks with many small cells"
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "the impact of unlicensed access on small cell resource allocation"
    - "dual timescale spectrum management in wireless heterogeneous networks"
    - "cell free massive mimo versus small cells"
    - "energy efficient cell activation user association and spectrum allocation in heterogeneous networks"
    - "small cell traffic balancing over licensed and unlicensed bands"
    - "allocation of licensed and unlicensed spectrum in heterogeneous networks"

Connected through hyperedge HE-8 (induced by source paper "allocation of licensed and unlicensed spectrum in heterogeneous networks"):
  with members:
    - "energy efficient cell activation user association and spectrum allocation in heterogeneous networks"
    - "traffic driven spectrum allocation in heterogeneous networks"
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "what will 5g be"
    - "base station activation and linear transceiver design for optimal resource management in heterogeneous 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)