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: "uav assisted heterogeneous networks for capacity enhancement"
  Abstract: Modern day wireless networks have tremendously evolved driven by a sharp increase in user demands, continuously requesting more data and services. This puts significant strain on infrastructure-based macro cellular networks due to the inefficiency in handling these traffic demands, cost effectively. A viable solution is the use of unmanned aerial vehicles (UAVs) as intermediate aerial nodes between the macro and small cell tiers for improving coverage and boosting capacity. This letter investigates the problem of user-demand-based UAV assignment over geographical areas subject to high traffic demands. A neural-based cost function approach is formulated, in which UAVs are matched to a particular geographical area. It is shown that leveraging multiple UAVs not only provides long-range connectivity but also better load balancing and traffic offload. Simulation study demonstrates that the proposed approach yields significant improvements in terms of fifth percentile spectral efficiency up to 38% and reduced delays up to 37.5% compared with a ground-based network baseline without UAVs.

Connected through hyperedge HE-1 (induced by source paper "heuristic approach for jointly optimizing feicic and uav locations in multi tier lte advanced public safety hetnet"):
  with members:
    - "predictive deployment of uav base stations in wireless networks machine learning meets contract theory"
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "interference coordination for aerial and terrestrial nodes in three tier lte advanced hetnet"
    - "a survey on legacy and emerging technologies for public safety communications"
    - "coexistence of terrestrial and aerial users in cellular networks"
    - "a stochastic geometry model of backhaul and user coverage in urban uav networks"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "drone small cells in the clouds design deployment and performance analysis"

Connected through hyperedge HE-2 (induced by source paper "uav communications for 5g and beyond recent advances and future trends"):
  with members:
    - "comparison of limited feedback schemes for noma transmission in mmwave drone networks"
    - "energy optimization for cellular connected multi uav mobile edge computing systems with multi access schemes"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "resource allocation for solar powered uav communication systems"
    - "cellular connected uav potentials challenges and promising technologies"
    - "real time optimal resource allocation for embedded uav communication systems"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "minimum throughput maximization in uav aided wireless powered communication networks"

Connected through hyperedge HE-3 (induced by source paper "energy efficient uav backscatter communication with joint trajectory design and resource optimization"):
  with members:
    - "sum throughput maximization in multi tag backscattering to multiantenna reader"
    - "large intelligent surface antennas lisa making reflective radios smart"
    - "uav data collection over noma backscatter networks uav altitude and trajectory optimization"
    - "cooperative ambient backscatter communications for green internet of things"
    - "symbiotic radio a new communication paradigm for passive internet of things"
    - "energy minimization for wireless communication with rotary wing uav"
    - "spectrum sharing for internet of things a survey"
    - "throughput maximization for uav enabled wireless powered communication networks"

Connected through hyperedge HE-4 (induced by source paper "a user centric cooperative scheme for uav assisted wireless networks in malfunction areas"):
  with members:
    - "on the performance of network noma in uplink comp systems a stochastic geometry approach"
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "a tunable base station cooperation scheme for poisson cellular networks"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "uav enabled wireless power transfer trajectory design and energy optimization"
    - "cyclical multiple access in uav aided communications a throughput delay tradeoff"
    - "designing and implementing future aerial communication networks"

Connected through hyperedge HE-5 (induced by source paper "multi purpose aerial drones for network coverage and package delivery"):
  with members:
    - "comp in the sky uav placement and movement optimization for multi user communications"
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "uav aided offloading for cellular hotspot"
    - "on the min cost traveling salesman problem with drone"
    - "spatial configuration of agile wireless networks with drone bss and user in the loop"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"

Connected through hyperedge HE-6 (induced by source paper "learning decentralized controllers for robot swarms with graph neural networks"):
  with members:
    - "decentralization of multiagent policies by learning what to communicate"
    - "deep reinforcement learning for swarm systems"
    - "median activation functions for graph neural networks"
    - "relational forward models for multi agent learning"
    - "airsim high fidelity visual and physical simulation for autonomous vehicles"
    - "semi supervised classification with graph convolutional networks"
    - "convolutional neural networks on graphs with fast localized spectral filtering"
    - "sampling of graph signals with successive local aggregations"

Connected through hyperedge HE-7 (induced by source paper "efficient local map search algorithms for the placement of flying relays"):
  with members:
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "placement optimization of uav mounted mobile base stations"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "energy efficient uav communication with trajectory optimization"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "enabling uav cellular with millimeter wave communication potentials and approaches"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"

Connected through hyperedge HE-8 (induced by source paper "optimal power allocation for minimizing outage probability of uav relay communications"):
  with members:
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "joint altitude and beamwidth optimization for uav enabled multiuser communications"
    - "on secrecy performance of antenna selection aided mimo systems against eavesdropping"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

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)