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 drone networks with limited feedback"
  Abstract: Unmanned aerial vehicle (UAV)-aided wireless communication networks can be a smart solution to provide connectivity during temporary events and after disasters. However, achieving high spectral efficiency is of paramount importance for UAVs due to limited energy resources on board of a UAV. In this paper, we introduce non-orthogonal multiple access (NOMA) transmission for UAVs serving as aerial base stations (BSs) at a large stadium potentially with several hundreds or thousands of mobile users. In particular, considering millimeter-wave (mmWave) transmission, we make use of multi-antenna techniques to generate directional beams specifically taking into consideration the physical constraints of the antenna array. Multiple users are served simultaneously within the same beam employing NOMA techniques. We focus on a limited feedback scheme in which user distances are considered for user ordering during NOMA formulation. For each user participating in NOMA, a target rate based on their quality of service (QoS) requirements is defined and UAV-BS hovering altitude is optimized to serve more users at their requested target rates. We develop a comprehensive framework over which outage probabilities and respective sum rates are derived rigorously for the distance feedback mechanism, which are verified through extensive simulations. Our analytical and simulation results depict that NOMA with distance feedback can provide better outage sum rates compared to its orthogonal counterpart. We investigate the optimal operation altitude of UAV-BS to maximize the sum rates using the tools of developed analytical framework. The importance of identifying a proper user pair for maximizing sum rates with NOMA transmission is also investigated.

Connected through hyperedge HE-1 (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"
    - "uav enabled communication using noma"
    - "non orthogonal multiple access for mmwave drones with multi antenna transmission"
    - "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-2 (induced by source paper "comparison of limited feedback schemes for noma transmission in mmwave drone networks"):
  with members:
    - "non orthogonal multiple access for mmwave drones with multi antenna transmission"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "impact of angular spread in moderately large mimo systems under pilot contamination"):
  with members:
    - "robust pilot decontamination based on joint angle and power domain discrimination"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "directional training and fast sector based processing schemes for mmwave channels"
    - "no downlink pilots are needed in tdd massive mimo"
    - "massive mimo ten myths and one critical question"
    - "the impact of beamwidth on temporal channel variation in vehicular channels and its implications"
    - "massive mimo for next generation wireless systems"
    - "blind pilot decontamination"

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)