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: "non orthogonal multiple access for mmwave drones with multi antenna transmission"
  Abstract: Unmanned aerial vehicles (UAVs) can be deployed as aerial base stations (BSs) for rapid establishment of communication networks during temporary events and after disasters. Since UAV-BSs are low power nodes, achieving high spectral and energy efficiency are of paramount importance. In this paper, we introduce non-orthogonal multiple access (NOMA) transmission for millimeter-wave (mmWave) drones serving as flying BSs at a large stadium potentially with several hundreds or thousands of mobile users. In particular, we make use of multi-antenna techniques specifically taking into consideration the physical constraints of the antenna array, to generate directional beams. Multiple users are then served within the same beam employing NOMA transmission. If the UAV beam can not cover entire region where users are distributed, we introduce beam scanning to maximize outage sum rates. The simulation results reveal that, with NOMA transmission the spectral efficiency of the UAV based communication can be greatly enhanced compared to orthogonal multiple access (OMA) transmission. Further, the analysis shows that there is an optimum transmit power value for NOMA beyond which outage sum rates do not improve further.

Connected through hyperedge HE-1 (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-2 (induced by source paper "angle feedback for noma transmission in mmwave drone networks"):
  with members:
    - "comparison of limited feedback schemes for noma transmission in mmwave drone networks"
    - "non orthogonal multiple access for mmwave drone networks with limited feedback"
    - "uav enabled communication using noma"
    - "capacity comparison between mimo noma and mimo oma with multiple users in a cluster"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-3 (induced by source paper "uplink cooperative noma for cellular connected uav"):
  with members:
    - "capacity characterization of uav enabled two user broadcast channel"
    - "cellular connected uav uplink association power control and interference coordination"
    - "cellular connected uav potentials challenges and promising technologies"
    - "supporting uav cellular communications through massive mimo"
    - "mobile networks connected drones field trials simulations and design insights"
    - "multi beam uav communication in cellular uplink cooperative interference cancellation and sum rate maximization"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "signal processing for mimo noma present and future challenges"

Connected through hyperedge HE-4 (induced by source paper "uav enabled communication using noma"):
  with members:
    - "fundamental tradeoffs in communication and trajectory design for uav enabled wireless network"
    - "capacity characterization of uav enabled two user broadcast channel"
    - "uav aided offloading for cellular hotspot"
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "joint altitude and beamwidth optimization for uav enabled multiuser communications"
    - "energy efficient uav communication with trajectory optimization"

Connected through hyperedge HE-5 (induced by source paper "comparison of limited feedback schemes for noma transmission in mmwave drone networks"):
  with members:
    - "non orthogonal multiple access for mmwave drone networks with limited feedback"
    - "capacity comparison between mimo noma and mimo oma with multiple users in a cluster"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"

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)