human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "energy efficient massive iot shared spectrum access over uav enabled cellular networks"):
  Abstract: Providing connectivity to a massive number of sensors and machines, commonly known as massive Internet-of-things (IoT), has become a critical use case for fifth-generation new radio (5G-NR). Nevertheless, existing transmission protocols, e.g., orthogonal allocation or spectrum sharing, can be detrimental for cellular users (UEs) and IoT devices due to increased congestion and interference or resource splitting. To this end, we consider to equip cellular networks with unmanned aerial vehicles (UAVs), e.g., drones, acting as mobile data aggregators. Specifically, we propose a transmission protocol for shared spectrum access between IoT devices and UEs, where IoT traffic is collected by drones and then aggregated to the cellular network. Using stochastic geometry, we analyze the performance of the proposed protocol and compare it with existing ones. In addition, we present a stochastic optimization framework that optimizes the transmit power of IoT devices to maximize the average energy-efficiency (EE) of a typical IoT device subject to interference constraints on UEs. Simulation results are presented to validate the effectiveness of the proposed transmission protocol and power control, showing significant improvements of the EE of IoT devices with minimal degradation on the UE spectral efficiency when compared to existing transmission schemes.

Includes members:
  Member "cellular connected uav uplink association power control and interference coordination":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "analysis of uav communications in cell free massive mimo systems")
  Member "performance analysis of uplink cellular iot using different deployments of data aggregators":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the benefits of network level cooperation in iot networks with aggregators")
  Member "aeronautical data aggregation and field estimation in iot networks hovering traveling time dilemma of uavs":
    also connected through other hyperedges:
      (none)
  Member "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "distributed federated learning for ultra reliable low latency vehicular communications")
  Member "on the energy distortion tradeoff in the iot":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy delay distortion problem")
  Member "energy efficient data collection in uav enabled wireless sensor network":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "joint trajectory and resource allocation design for energy efficient secure uav communication systems")
  Member "energy efficient uav communication with trajectory optimization":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "joint trajectory and resource allocation design for energy efficient secure uav communication systems")
  Member "energy efficient power control a look at 5g wireless technologies":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "energy efficiency optimization for downlink massive mimo with statistical csit")

Question: Please tell me which class the source paper 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)