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: "dynamic base station repositioning to improve performance of drone small cells"
  Abstract: Thanks to the recent advancements in drone technology, it has become viable and cost-effective to quickly deploy small cells in areas of urgent needs by using a drone as a cellular base station. In this paper, we explore the benefit of dynamically repositioning the drone base station in the air to reduce the distance between the BS and the mobile user equipment, thereby improving the spectral efficiency of the small cell. In particular, we propose algorithms to autonomously control the repositioning of the drone in response to users activities and movements. We demonstrate that, compared to a drone hovering at a fixed location, dynamic repositioning of the drone moving with high speed can increase spectral efficiency by 15\%. However, considering the tradeoff between spectral efficiency and energy efficiency of the drone, we show that 10.5\% spectral efficiency gain can be obtained without negatively affecting energy consumption of the drone.

Connected through hyperedge HE-1 (induced by source paper "power constrained trajectory optimization for wireless uav relays with random requests"):
  with members:
    - "trajectory optimization for rotary wing uavs in wireless networks with random requests"
    - "energy minimization for wireless communication with rotary wing uav"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "survey on uav cellular communications practical aspects standardization advancements regulation and security challenges"
    - "survey of important issues in uav communication networks"
    - "energy efficient uav communication with trajectory optimization"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-2 (induced by source paper "a predictive on demand placement of uav base stations using echo state network"):
  with members:
    - "on demand density aware uav base station 3d placement for arbitrarily distributed users with guaranteed data rates"
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "drone small cells in the clouds design deployment and performance analysis"

Connected through hyperedge HE-3 (induced by source paper "3gpp inspired stochastic geometry based mobility model for a drone cellular network"):
  with members:
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "designing and implementing future aerial communication networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-4 (induced by source paper "survey on uav cellular communications practical aspects standardization advancements regulation and security challenges"):
  with members:
    - "understanding uav cellular communications from existing networks to massive mimo"
    - "supporting uav cellular communications through massive mimo"
    - "uav aided offloading for cellular hotspot"
    - "the essential guide to realizing 5g connected uavs with massive mimo"
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "promises and caveats of uplink iot ultra dense networks"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"

Connected through hyperedge HE-5 (induced by source paper "spatial configuration of agile wireless networks with drone bss and user in the loop"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "configurations and diagnosis for ultra dense heterogeneous networks from empirical measurements to technical solutions"
    - "placement optimization of uav mounted mobile base stations"
    - "user association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations"
    - "optimal transport theory for cell association in uav enabled cellular networks"
    - "energy efficient 3d uav bs placement versus mobile users density and circuit power"
    - "deployment and trajectory optimization for uavs a quantization theory approach"
    - "spectrum sharing and cyclical multiple access in uav aided cellular offloading"

Connected through hyperedge HE-6 (induced by source paper "common throughput maximization in uav enabled ofdma systems with delay consideration"):
  with members:
    - "capacity characterization of uav enabled two user broadcast channel"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "wireless powered cooperative jamming for secure ofdm system"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "securing uav communications via trajectory optimization"
    - "fundamental green tradeoffs progresses challenges and impacts on 5g networks"
    - "joint trajectory and communication design for uav enabled multiple access"

Connected through hyperedge HE-7 (induced by source paper "a stochastic model for uav networks positioned above demand hotspots in urban environments"):
  with members:
    - "backhaul for low altitude uavs in urban environments"
    - "coexistence of terrestrial and aerial users in cellular networks"
    - "energy efficient uav communication with trajectory optimization"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "the new frontier in ran heterogeneity multi tier drone cells"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "mobile internet of things can uavs provide an energy efficient mobile architecture"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-8 (induced by source paper "performance impact of base station antenna heights in dense cellular networks"):
  with members:
    - "performance analysis of dense scns with generalized shadowing fading and nlos los transmissions"
    - "dense small cell networks from noise limited to dense interference limited"
    - "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"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "impact of metro cell antenna pattern and downtilt in heterogeneous 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.NI(Networking and Internet Architecture)