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: "study on scheduling techniques for ultra dense small cell networks"
  Abstract: The most promising approach to enhance network capacity for the next generation of wireless cellular networks (5G) is densification, which benefits from the extensive spatial reuse of the spectrum and the reduced distance between transmitters and receivers. In this paper, we examine the performance of different schedulers in ultra dense small cell deployments. Due to the stronger line of sight (LOS) at low inter-site distances (ISDs), we discuss that the Rician fading channel model is more suitable to study network performance than the Rayleigh one, and model the Rician K factor as a function of distance between the user equipment (UE) and its serving base station (BS). We also construct a cross-correlation shadowing model that takes into account the ISD, and finally investigate potential multi-user diversity gains in ultra dense small cell deployments by comparing the performances of proportional fair (PF) and round robin (RR) schedulers. Our study shows that as network becomes denser, the LOS component starts to dominate the path loss model which significantly increases the interference. Simulation results also show that multi-user diversity is considerably reduced at low ISDs, and thus the PF scheduling gain over the RR one is small, around 10\% in terms of cell throughput. As a result, the RR scheduling may be preferred for dense small cell deployments due to its simplicity. Despite both the interference aggravation as well as the multi-user diversity loss, network densification is still worth it from a capacity view point.

Connected through hyperedge HE-1 (induced by source paper "analysis of uav communications in cell free massive mimo systems"):
  with members:
    - "scalability aspects of cell free massive mimo"
    - "max min rate of cell free massive mimo uplink with optimal uniform quantization"
    - "ubiquitous cell free massive mimo communications"
    - "cellular uav to uav communications"
    - "making cell free massive mimo competitive with mmse processing and centralized implementation"
    - "understanding uav cellular communications from existing networks to massive mimo"
    - "tutorial on uav a blue sky view on wireless communication"
    - "cellular connected uav uplink association power control and interference coordination"

Connected through hyperedge HE-2 (induced by source paper "enabling uav communications with cell free massive mimo"):
  with members:
    - "ubiquitous cell free massive mimo communications"
    - "making cell free massive mimo competitive with mmse processing and centralized implementation"
    - "understanding uav cellular communications from existing networks to massive mimo"
    - "supporting uav cellular communications through massive mimo"
    - "the essential guide to realizing 5g connected uavs with massive mimo"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "downlink performance of uplink fractional power control in 5g massive mimo systems"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"

Connected through hyperedge HE-3 (induced by source paper "delay analysis of random scheduling and round robin in small cell networks"):
  with members:
    - "sir coverage analysis in cellular networks with temporal traffic a stochastic geometry approach"
    - "ultra dense networks a new look at the proportional fair scheduler"
    - "packet throughput analysis of static and dynamic tdd in small cell networks"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "toward a tractable delay analysis in ultra dense networks"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "what will 5g be"

Connected through hyperedge HE-4 (induced by source paper "the major and minor factors in the performance analysis of ultra dense networks"):
  with members:
    - "study on the idle mode capability with los and nlos transmissions"
    - "microscopic analysis of the uplink interference in fdma small cell networks"
    - "nearest neighbour distance distribution in hard core point processes"
    - "throughput and coverage for a mixed full and half duplex small cell network"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "what is the true value of dynamic tdd a mac layer perspective"
    - "please lower small cell antenna heights in 5g"
    - "performance impact of los and nlos transmissions in dense cellular networks"

Connected through hyperedge HE-5 (induced by source paper "on the performance of practical ultra dense networks the major and minor factors"):
  with members:
    - "study on the idle mode capability with los and nlos transmissions"
    - "microscopic analysis of the uplink interference in fdma small cell networks"
    - "throughput and coverage for a mixed full and half duplex small cell network"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "d2d enhanced heterogeneous cellular networks with dynamic tdd"

Connected through hyperedge HE-6 (induced by source paper "ultra dense networks a new look at the proportional fair scheduler"):
  with members:
    - "ultra dense networks is there a limit to spatial spectrum reuse"
    - "study on the idle mode capability with los and nlos transmissions"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "5g ultra dense cellular networks"
    - "coverage and economy of cellular networks with many base stations"

Connected through hyperedge HE-7 (induced by source paper "performance improvement by introducing mobility in wireless communication networks"):
  with members:
    - "survey of important issues in uav communication 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"

Connected through hyperedge HE-8 (induced by source paper "performance impact of idle mode capability on dense small cell networks"):
  with members:
    - "dynamic base station repositioning to improve performance of drone small cells"
    - "study on the idle mode capability with los and nlos transmissions"
    - "microscopic analysis of the uplink interference in fdma small cell networks"
    - "handover management in dense cellular networks a stochastic geometry approach"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "please lower small cell antenna heights in 5g"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"

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)