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: "performance limits of network densification"
  Abstract: Network densification is a promising cellular deployment technique that leverages spatial reuse to enhance coverage and throughput. Recent work has identified that at some point, ultra-densification will no longer be able to deliver significant throughput gains. In this paper, we provide a unified treatment of the performance limits of network densification. We develop a general framework, which incorporates multi-slope pathloss and the entire space of shadowing and small scale fading distributions, under strongest cell association in a Poisson field of interferers. First, our results show that there are three scaling regimes for the downlink signal-to-interference-plus-noise ratio, coverage probability, and average per-user rate. Specifically, depending on the near-field pathloss and the fading distribution, the user performance of 5G ultra dense networks (UDNs) would either monotonically increase, saturate, or decay with increasing network density. Second, we show that network performance in terms of coverage density and area spectral efficiency can scale with the network density better than the user performance does. Furthermore, we provide ordering results for both coverage and average rate as a means to qualitatively compare different transmission techniques that may exhibit the same performance scaling. Our results, which are verified by simulations, provide succinct insights and valuable design guidelines for the deployment of 5G UDNs.

Connected through hyperedge HE-1 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks"):
  with members:
    - "scaling laws of dense multi antenna cellular networks"
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "performance impact of base station antenna heights in dense cellular networks"
    - "a primer on cellular network analysis using stochastic geometry"
    - "scaling laws for ergodic spectral efficiency in mimo poisson networks"
    - "cooperative base station coloring for pair wise multi cell coordination"

Connected through hyperedge HE-2 (induced by source paper "scaling laws of dense multi antenna cellular networks"):
  with members:
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks"
    - "performance impact of base station antenna heights in dense cellular networks"
    - "spectral efficiency scaling laws in dense random wireless networks with multiple receive antennas"
    - "downlink cellular network analysis with multi slope path loss models"
    - "downlink mimo hetnets modeling ordering results and performance analysis"
    - "transmission capacity of wireless networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "learning deterministic policy with target for power control in wireless networks"):
  with members:
    - "energy efficient power control a look at 5g wireless technologies"
    - "theoretically grounded policy advice from multiple teachers in reinforcement learning settings with applications to negative transfer"
    - "continuous control with deep reinforcement learning"
    - "enhanced intercell interference coordination challenges in heterogeneous networks"

Connected through hyperedge HE-4 (induced by source paper "network deployment for maximal energy efficiency in uplink with multislope path loss"):
  with members:
    - "massive mimo has unlimited capacity"
    - "cell free massive mimo versus small cells"
    - "designing wireless broadband access for energy efficiency are small cells the only answer"
    - "deploying dense networks for maximal energy efficiency small cells meet massive mimo"
    - "downlink cellular network analysis with multi slope path loss models"
    - "what will 5g be"
    - "optimal design of energy efficient multi user mimo systems is massive mimo the answer"
    - "downlink mimo hetnets modeling ordering results and performance analysis"

Connected through hyperedge HE-5 (induced by source paper "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks"):
  with members:
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "stochastic geometry analysis of ultra dense networks impact of antenna height and performance limits"
    - "modeling and analyzing millimeter wave cellular systems"
    - "effect of densification on cellular network performance with bounded pathloss model"
    - "downlink cellular network analysis with los nlos propagation and elevated base stations"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "performance impact of base station antenna heights in dense cellular networks"
    - "unified stochastic geometry modeling and analysis of cellular networks in los nlos and shadowed fading"

Connected through hyperedge HE-6 (induced by source paper "dense small cell networks from noise limited to dense interference limited"):
  with members:
    - "on the energy efficient deployment for ultra dense heterogeneous networks with nlos and los transmissions"
    - "effect of densification on cellular network performance with bounded pathloss model"
    - "impact of los nlos propagation and path loss in ultra dense cellular networks"
    - "coverage analysis of heterogeneous cellular networks in urban areas"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "performance impact of idle mode capability on dense small cell networks"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"

Connected through hyperedge HE-7 (induced by source paper "downlink cellular network analysis with los nlos propagation and elevated base stations"):
  with members:
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "modeling and analyzing millimeter wave cellular systems"
    - "performance analysis of ultra dense networks with elevated base stations"
    - "power beacon assisted millimeter wave ad hoc networks"
    - "a 3 d spatial model for in building wireless networks with correlated shadowing"
    - "coverage and capacity scaling laws in downlink ultra dense cellular networks"
    - "study on the idle mode capability with los and nlos transmissions"
    - "impact of los nlos propagation and path loss in ultra dense cellular networks"

Connected through hyperedge HE-8 (induced by source paper "a tractable framework for the analysis of dense heterogeneous cellular networks"):
  with members:
    - "stability and dynamic control of underlay mobile edge networks"
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "ultra dense networks is there a limit to spatial spectrum reuse"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "user association in 5g networks a survey and an outlook"
    - "tractable framework for the analysis of general multi tier heterogeneous cellular networks"
    - "gaussian approximation for the downlink interference in heterogeneous 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.IT(Information Theory)