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: "downlink capacity and base station density in cellular networks"
  Abstract: There have been a bulk of analytic results about the performance of cellular networks where base stations are regularly located on a hexagonal or square lattice. This regular model cannot reflect the reality, and tends to overestimate the network performance. Moreover, tractable analysis can be performed only for a fixed location user (e.g., cell center or edge user). In this paper, we use the stochastic geometry approach, where base stations can be modeled as a homogeneous Poisson point process. We also consider the user density, and derive the user outage probability that an arbitrary user is under outage owing to low signal-to-interference-plus-noise ratio or high congestion by multiple users. Using the result, we calculate the density of success transmissions in the downlink cellular network. An interesting observation is that the success transmission density increases with the base station density, but the increasing rate diminishes. This means that the number of base stations installed should be more than $n$-times to increase the network capacity by a factor of $n$. Our results will provide a framework for performance analysis of the wireless infrastructure with a high density of access points, which will significantly reduce the burden of network-level simulations.

Connected through hyperedge HE-1 (induced by source paper "ran slicing for massive iot and bursty urllc service multiplexing analysis and optimization"):
  with members:
    - "how should i orchestrate resources of my slices for bursty urllc service provision"
    - "resource allocation and harq optimization for urllc traffic in 5g wireless networks"
    - "5g wireless network slicing for embb urllc and mmtc a communication theoretic view"
    - "network slicing to enable scalability and flexibility in 5g mobile networks"
    - "random access analysis for massive iot networks under a new spatio temporal model a stochastic geometry approach"
    - "stochastic coalitional games for cooperative random access in m2m communications"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"

Connected through hyperedge HE-2 (induced by source paper "stochastic geometry based uplink analysis of massive mimo systems with fractional pilot reuse"):
  with members:
    - "johnson mehl cell based analysis of ul cellular network with coupled user and bs locations"
    - "fog massive mimo a user centric seamless hot spot architecture"
    - "massive mimo has unlimited capacity"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "a primer on cellular network analysis using stochastic geometry"
    - "user point processes in cellular networks"
    - "poisson hole process theory and applications to wireless networks"
    - "massive mimo enabled full duplex cellular networks"

Connected through hyperedge HE-3 (induced by source paper "system level modeling and optimization of the energy efficiency in cellular networks a stochastic geometry framework"):
  with members:
    - "effect of densification on cellular network performance with bounded pathloss model"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "enhanced cellular coverage and throughput using rateless codes"
    - "area spectral efficiency analysis and energy consumption minimization in multiantenna poisson distributed networks"
    - "stochastic geometric analysis of energy efficient dense cellular networks"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "a survey of energy efficient techniques for 5g networks and challenges ahead"
    - "spatial spectrum and energy efficiency of random cellular networks"

Connected through hyperedge HE-4 (induced by source paper "mean field game theoretic edge caching in ultra dense networks"):
  with members:
    - "ultra dense edge caching under spatio temporal demand and network dynamics"
    - "spatially correlated content caching for device to device communications"
    - "ultra dense small cell networks turning density into energy efficiency"
    - "fundamental storage latency tradeoff in cache aided mimo interference networks"
    - "caching in wireless small cell networks a storage bandwidth tradeoff"
    - "wireless content caching for small cell and d2d networks"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"
    - "mean field games for distributed caching in ultra dense small cell networks"

Connected through hyperedge HE-5 (induced by source paper "optimal coverage and rate in downlink cellular networks a sir meta distribution based approach"):
  with members:
    - "sir meta distribution of k tier downlink heterogeneous cellular networks with cell range expansion"
    - "the spatial outage capacity of wireless networks"
    - "downlink cellular network analysis with los nlos propagation and elevated base stations"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "please lower small cell antenna heights in 5g"
    - "propagation path loss models for 5g urban micro and macro cellular scenarios"
    - "performance impact of los and nlos transmissions in dense cellular networks"

Connected through hyperedge HE-6 (induced by source paper "accuracy of distance based ranking of users in the analysis of noma systems"):
  with members:
    - "downlink non orthogonal multiple access noma in poisson networks"
    - "system level modeling and optimization of the energy efficiency in cellular networks a stochastic geometry framework"
    - "cooperative harq assisted noma scheme in large scale d2d networks"
    - "the meta distribution of the sir for cellular networks with power control"
    - "user point processes in cellular networks"
    - "energy efficiency of distributed signal processing in wireless networks a cross layer analysis"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"

Connected through hyperedge HE-7 (induced by source paper "analysis and optimization of caching and multicasting for multi quality videos in large scale wireless networks"):
  with members:
    - "optimal caching designs for perfect imperfect and unknown file popularity distributions in large scale multi tier wireless networks"
    - "wireless video caching and dynamic streaming under differentiated quality requirements"
    - "analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks"
    - "optimal geographic caching in cellular networks"
    - "analysis and optimization of caching and multicasting in large scale cache enabled wireless networks"
    - "joint resource partitioning and offloading in heterogeneous cellular networks"

Connected through hyperedge HE-8 (induced by source paper "a stochastic geometry analysis of energy harvesting in large scale wireless networks"):
  with members:
    - "millimeter wave energy harvesting"
    - "performance analysis of ambient rf energy harvesting with repulsive point process modeling"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"
    - "sinr based k coverage probability in cellular networks with arbitrary shadowing"
    - "a tractable approach to coverage and rate in 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.NI(Networking and Internet Architecture)