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: "throughput maximization for mobile relaying systems"
  Abstract: This paper studies a novel mobile relaying technique, where relays of high mobility are employed to assist the communications from source to destination. By exploiting the predictable channel variations introduced by relay mobility, we study the throughput maximization problem in a mobile relaying system via dynamic rate and power allocations at the source and relay. An optimization problem is formulated for a finite time horizon, subject to an information-causality constraint, which results from the data buffering employed at the relay. It is found that the optimal power allocations across the different time slots follow a "stair-case" water filling (WF) structure, with non-increasing and non-decreasing water levels at the source and relay, respectively. For the special case where the relay moves unidirectionally from source to destination, the optimal power allocations reduce to the conventional WF with constant water levels. Numerical results show that with appropriate trajectory design, mobile relaying is able to achieve tremendous throughput gain over the conventional static relaying.

Connected through hyperedge HE-1 (induced by source paper "information transmission bounds between moving terminals"):
  with members:
    - "energy efficient uav communication with trajectory optimization"

Connected through hyperedge HE-2 (induced by source paper "optimal placement of a uav to maximize the lifetime of wireless devices"):
  with members:
    - "indoor mobile coverage problem using uavs"
    - "efficient 3d placement of a uav using particle swarm optimization"
    - "providing wireless coverage to high rise buildings using uavs"
    - "energy trade off in ground to uav communication via trajectory design"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "on the continuous coverage problem for a swarm of uavs"
    - "drone small cells in the clouds design deployment and performance analysis"

Connected through hyperedge HE-3 (induced by source paper "joint optimization of transmission and propulsion in aerial communication networks"):
  with members:
    - "optimizing communication and computation for multi uav information gathering applications"
    - "energy efficient uav communication with trajectory optimization"
    - "robotic message ferrying for wireless networks using coarse grained backpressure control"

Connected through hyperedge HE-4 (induced by source paper "mobile edge computing via a uav mounted cloudlet optimization of bit allocation and path planning"):
  with members:
    - "mobile cloud computing with a uav mounted cloudlet optimal bit allocation for communication and computation"
    - "energy efficient uav communication with trajectory optimization"
    - "parallel and distributed methods for nonconvex optimization part ii applications"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "resource allocation for machine to machine communications with unmanned aerial vehicles"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "the internet of flying things opportunities and challenges with airborne fog computing and mobile cloud in the clouds"

Connected through hyperedge HE-5 (induced by source paper "mobile cloud computing with a uav mounted cloudlet optimal bit allocation for communication and computation"):
  with members:
    - "placement optimization of uav mounted mobile base stations"
    - "energy efficient uav communication with trajectory optimization"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "resource allocation for machine to machine communications with unmanned aerial vehicles"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "mobile internet of things can uavs provide an energy efficient mobile architecture"
    - "the internet of flying things opportunities and challenges with airborne fog computing and mobile cloud in the clouds"

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)