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 "allocation of licensed and unlicensed spectrum in heterogeneous networks"):
  Abstract: As the traffic load in cellular networks grows rapidly, future generation cellular networks will involve multiple radio access technologies (RATs) over different frequency bands. This paper studies the spectrum allocation problem in heterogeneous networks (HetNets) with multiple RATs over different bands using the average packet sojourn time as performance metric. The framework developed recently in [1] is generalized to incorporate multiple RATs. In contrast to the licensed band, the queueing model for the unlicensed band captures the lower spectral efficiency, reliability, and additional delay due to contention and/or listen-before-talk requirements. Under mild assumptions, we formulate the spectrum allocation problem as a convex optimization problem. Solving this problem gives an effective and efficient solution for user association and spectrum allocation over multiple RATs. Simulation results show that in the heavy-traffic regime, the proposed scheme significantly outperforms both orthogonal spectrum allocation and full-frequency-reuse allocation. In addition, the optimal solution to the optimization problem matches the intuition that users with relatively high traffic demand are mostly assigned to licensed spectrum, while those with low traffic demand and less interference are assigned to unlicensed spectrum.

Includes members:
  Member "energy management in heterogeneous networks with cell activation user association and interference coordination":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a centralized metropolitan scale radio resource management scheme")
  Member "energy efficient cell activation user association and spectrum allocation in heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "reinforcement learning based vehicle cell association algorithm for highly mobile millimeter wave communication")
  Member "traffic driven spectrum allocation in heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "optimization of mimo device to device networks via matrix fractional programming a minorization maximization approach")
  Member "algorithms for enhanced inter cell interference coordination eicic in lte hetnets":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "analog subspace coding a new approach to coding for non coherent wireless networks")
  Member "distributed pricing based user association for downlink heterogeneous cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "reinforcement learning based vehicle cell association algorithm for highly mobile millimeter wave communication")
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "base station activation and linear transceiver design for optimal resource management in heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "power efficient resource allocation in c rans with sinr constraints and deadlines")

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.NI(Networking and Internet Architecture)