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 "mobility aware analysis of 5g and b5g cellular networks a tutorial"):
  Abstract: Providing network connectivity to mobile users is a key requirement for cellular wireless networks. User mobility impacts network performance as well as user perceived service quality. For efficient network dimensioning and optimization, it is therefore required to characterize the mobility-aware network performance metrics such as the handoff rate, handoff probability, sojourn time, direction switch rate, and users' throughput or coverage. This characterization is particularly challenging for heterogeneous, dense/ultra-dense, and random cellular networks such as the emerging 5G and beyond 5G (B5G) networks. In this article, we provide a tutorial on mobility-aware performance analysis of both the spatially random and non-random, single-tier and multi-tier cellular networks. We first provide a summary of the different mobility models which include purely random models, spatially correlated, and temporally correlated models. The differences among various mobility models, their statistical properties, and their pros and cons are presented. We then describe two main analytical approaches for mobility-aware performance analysis of both random and non-random cellular networks. For the first approach, we describe a general methodology and present several case studies for different cellular network tessellations such as square lattice, hexagon lattice, single-tier and multi-tier models in which base-stations (BSs) follow a homogeneous Poisson Point Process (PPP). For the second approach, we also outline the general methodology. In addition, we discuss some limitations/imperfections of the existing techniques and provide corrections to these imperfections. Finally, we point out specific 5G application scenarios where the impact of mobility would be significant and outline the challenges associated with mobility-aware analysis of those scenarios.

Includes members:
  Member "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "joint energy and sinr coverage in spatially clustered rf powered iot network")
  Member "coverage and rate analysis for co existing rf vlc downlink cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "ultra small cell networks with collaborative rf and lightwave power transfer")
  Member "handover management in 5g and beyond a topology aware skipping approach":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "hybrid lifi and wifi networks a survey")
  Member "analysis of massive mimo enabled downlink wireless backhauling for full duplex small cells":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "millimeter wave integrated access and backhaul in 5g performance analysis and design insights")
  Member "handoff rate and coverage analysis in multi tier heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "stochastic geometry analysis of sojourn time in multi tier cellular networks")
  Member "on feasibility of 5g grade dedicated rf charging technology for wireless powered wearables":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "wirelessly powered sensor networks power allocation for channel estimation and energy beamforming")
  Member "evolution toward 5g multi tier cellular wireless networks an interference management perspective":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on the security and the evolution of osmotic and catalytic computing for 5g networks")
  Member "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "sir analysis via signal fractions")

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)