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: "a stochastic geometry framework for los nlos propagation in dense small cell networks"
  Abstract: The need to carry out analytical studies of wireless systems often motivates the usage of simplified models which, despite their tractability, can easily lead to an overestimation of the achievable performance. In the case of dense small cells networks, the standard single slope path-loss model has been shown to provide interesting, but supposedly too optimistic, properties such as the invariance of the outage/coverage probability and of the spectral efficiency to the base station density. This paper seeks to explore the performance of dense small cells networks when a more accurate path-loss model is taken into account. We first propose a stochastic geometry based framework for small cell networks where the signal propagation accounts for both the Line-of-Sight (LOS) and Non-Line-Of-Sight (NLOS) components, such as the model provided by the 3GPP for evaluation of pico-cells in Heterogeneous Networks. We then study the performance of these networks and we show the dependency of some metrics such as the outage/coverage probability, the spectral efficiency and Area Spectral Efficiency (ASE) on the base station density and on the LOS likelihood of the propagation environment. Specifically, we show that, with LOS/NLOS propagation, dense networks still achieve large ASE gain but, at the same time, suffer from high outage probability.

Connected through hyperedge HE-1 (induced by source paper "energy efficient cooperative caching in uav networks"):
  with members:
    - "energy minimization for wireless communication with rotary wing uav"
    - "random caching based cooperative transmission in heterogeneous wireless networks"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "power control in uav supported ultra dense networks communications caching and energy transfer"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "overcoming endurance issue uav enabled communications with proactive caching"
    - "mitigating interference in content delivery networks by spatial signal alignment the approach of shot noise ratio"
    - "effect of retransmissions on optimal caching in cache enabled small cell networks"

Connected through hyperedge HE-2 (induced by source paper "coverage analysis of 3 d dense cellular networks with realistic propagation conditions"):
  with members:
    - "downlink cellular network analysis with los nlos propagation and elevated base stations"
    - "sinr and throughput scaling in ultradense urban cellular networks"
    - "effect of los nlos propagation on area spectral efficiency and energy efficiency of small cells"
    - "what will 5g be"
    - "coverage and economy of cellular networks with many base stations"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "5g massive mimo architectures self backhauled small cells versus direct access"):
  with members:
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "performance of massive mimo self backhauling for ultra dense small cell deployments"
    - "performance of dynamic and static tdd in self backhauled millimeter wave cellular networks"
    - "uplink sounding reference signal coordination to combat pilot contamination in 5g massive mimo"
    - "joint backhaul access analysis of full duplex self backhauling heterogeneous networks"
    - "analysis of massive mimo enabled downlink wireless backhauling for full duplex small cells"
    - "the new frontier in ran heterogeneity multi tier drone cells"
    - "performance impact of los and nlos transmissions in dense cellular networks"

Connected through hyperedge HE-4 (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"
    - "performance limits of network densification"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "performance analysis of ultra dense networks with elevated base stations"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "downlink cellular network analysis with los nlos propagation and elevated base stations"
    - "a 3 d spatial model for in building wireless networks with correlated shadowing"
    - "coverage and capacity scaling laws in downlink ultra dense cellular networks"
    - "impact of los nlos propagation and path loss in ultra dense cellular networks"
    - "please lower small cell antenna heights in 5g"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "are we approaching the fundamental limits of wireless network densification"

Connected through hyperedge HE-6 (induced by source paper "miso in ultra dense networks balancing the tradeoff between user and system performance"):
  with members:
    - "the major and minor factors in the performance analysis of ultra dense networks"
    - "effect of densification on cellular network performance with bounded pathloss model"
    - "performance impact of base station antenna heights in dense cellular networks"
    - "fronthauling for 5g lte u ultra dense cloud small cell networks"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "sinr and throughput scaling in ultradense urban cellular networks"
    - "downlink cellular network analysis with multi slope path loss models"

Connected through hyperedge HE-7 (induced by source paper "the impact of antenna height difference on the performance of downlink cellular networks"):
  with members:
    - "effect of densification on cellular network performance with bounded pathloss model"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "sinr and throughput scaling in ultradense urban cellular networks"
    - "downlink cellular network analysis with multi slope path loss models"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-8 (induced by source paper "performance impact of los and nlos transmissions in dense cellular networks"):
  with members:
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "downlink cellular network analysis with multi slope path loss models"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "will the area spectral efficiency monotonically grow as small cells go dense"
    - "analysis of blockage effects on urban cellular networks"
    - "offloading in heterogeneous networks modeling analysis and design insights"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "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.IT(Information Theory)