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 "modeling and performance analysis in cache enabled millimeter wave hetnets with access and backhaul integration"):
  Abstract: Recently, a mmWave-based access and backhaul integration HetNetsarchitecture (mABHetNets) has been envisioned to provide the high link capacity in both access and backhaul links. In mABHetNets, the access link and the backhaul link will share the same mm-wave spectral resources to serve cellular users as well as to maintain the backhaul capacity of the SBSs. However, a large spectrum bandwidth are occupied by the backhaul link to maintain the backhaul link capacity. Up to 50\% mmWave spectrum resource will be used in backhaul link to satisfy the high speed data traffic. Such "\emph{spectrum occupation}" of backhaul link has restricted network performance to achieve a better possible improvement. To overcome spectrum occupation problem in the existing mABHetNets, involving caches in the mABHetNets brings a opportunity. When the backhaul traffic is offloaded by caching popular fils in the SBSs and the corresponding mmWave spectrum can be transfered to the access link by the bandwidth partition. Then with more spectrum for access link, both the network throughout and the coverage ability are increased significantly. However, the caching power consumption will be increased and the EE will be decreased. Therefore, we analyze the througput and EE in mABHetNets by stochastic geometry tool. Extensive numerical and simulations results are carried out to validate our work.

Includes members:
  Member "modeling and analysis of d2d millimeter wave networks with poisson cluster processes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "clustered millimeter wave networks with non orthogonal multiple access")
  Member "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "downlink cellular network analysis with los nlos propagation and elevated base stations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the coverage and capacity of ultra dense networks with directional transmissions")
  Member "modeling analysis and optimization of coded caching in small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "joint optimization of file placement and delivery in cache assisted wireless networks with limited lifetime and cache space")
  Member "dense small cell networks from noise limited to dense interference limited":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the performance of splitting receiver with joint coherent and non coherent processing")
  Member "coverage in downlink heterogeneous mmwave cellular networks with user centric small cell deployment":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimized deployment of millimeter wave networks for in venue regions with stochastic users orientation")
  Member "caching at the wireless edge design aspects challenges and future directions":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "enhancing physical layer security of random caching in large scale multi antenna heterogeneous wireless networks")
  Member "energy efficiency of downlink networks with caching at base stations":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "aoi delay tradeoff in mobile edge caching with freshness aware content refreshing")

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)