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: "multi beam uav communication in cellular uplink cooperative interference cancellation and sum rate maximization"
  Abstract: Integrating unmanned aerial vehicles (UAVs) into the cellular network as new aerial users is a promising solution to meet their ever-increasing communication demands in a plethora of applications. Due to the high UAV altitude, the channels between UAVs and the ground base stations (GBSs) are dominated by the strong line-of-sight (LoS) links, thus severe interference may be generated to/from the GBSs in the uplink/downlink, which renders the interference management with coexisting terrestrial and aerial users a more challenging problem to solve. In this paper, we study the uplink communication from a multi-antenna UAV to a set of GBSs in its signal coverage region. Among these GBSs, we denote available GBSs as the ones that do not serve any terrestrial users at the assigned resource block (RB) of the UAV, and occupied GBSs as the rest that are serving their respectively associated terrestrial users in the same RB. We propose a new cooperative interference cancellation strategy for the multi-beam UAV uplink communication, which aims to eliminate the co-channel interference at each of the occupied GBSs and in the meanwhile maximize the sum-rate to the available GBSs. Specifically, the multi-antenna UAV sends multiple data streams to selected available GBSs, which in turn forward their decoded data streams to their backhaul-connected occupied GBSs for interference cancellation. To draw useful insights, the maximum degrees-of-freedom (DoF) achievable by the multi-beam UAV communication for sum-rate maximization in the high signal-to-noise ratio (SNR) regime is first characterized, subject to the stringent constraint that all the occupied GBSs do not suffer from any interference in the UAV's uplink transmission. Then, based on the DoF-optimal design, the achievable sum-rate at finite SNR is maximized, subject to given maximum allowable interference power constraints at each occupied GBS.

Connected through hyperedge HE-1 (induced by source paper "towards reliable uav swarm communication in d2d enhanced cellular network"):
  with members:
    - "unmanned aerial vehicles uavs a survey on civil applications and key research challenges"
    - "cellular connected uav uplink association power control and interference coordination"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "ultra reliable and low latency communications in 5g downlink physical layer aspects"
    - "uplink cooperative noma for cellular connected uav"
    - "a d2d based protocol for ultra reliable wireless communications for industrial automation"

Connected through hyperedge HE-2 (induced by source paper "towards power efficient aerial communications via dynamic multi uav cooperation"):
  with members:
    - "comp in the sky uav placement and movement optimization for multi user communications"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "interference mitigation methods for unmanned aerial vehicles served by cellular networks"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-3 (induced by source paper "cooperative noma for downlink asymmetric interference cancellation"):
  with members:
    - "cooperative downlink interference transmission and cancellation for cellular connected uav a divide and conquer approach"
    - "cellular connected uav uplink association power control and interference coordination"
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"

Connected through hyperedge HE-4 (induced by source paper "uav sensing assisted cellular interference coordination a cognitive radio approach"):
  with members:
    - "cellular connected uav uplink association power control and interference coordination"
    - "dynamic resource allocation in cognitive radio networks"

Connected through hyperedge HE-5 (induced by source paper "mobility in the sky performance and mobility analysis for cellular connected uavs"):
  with members:
    - "capacity and coverage enhancement using long endurance tethered airborne base stations"
    - "trajectory design for cellular connected uav under outage duration constraint"
    - "interference management for cellular connected uavs a deep reinforcement learning approach"
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "cellular connectivity for uavs network modeling performance analysis and design guidelines"
    - "on the 3 d placement of airborne base stations using tethered uavs"
    - "trajectory optimization for cellular connected uav under outage duration constraint"
    - "drones in distress a game theoretic countermeasure for protecting uavs against gps spoofing"

Connected through hyperedge HE-6 (induced by source paper "radio map based 3d path planning for cellular connected uav"):
  with members:
    - "trajectory design for cellular connected uav under outage duration constraint"
    - "interference management for cellular connected uavs a deep reinforcement learning approach"
    - "connectivity aware uav path planning with aerial coverage maps"
    - "hybrid offline online design for uav enabled data harvesting in probabilistic los channel"
    - "3d trajectory optimization in rician fading for uav enabled data harvesting"
    - "trajectory optimization for cellular connected uav under outage duration constraint"
    - "cognitive uav communication via joint maneuver and power control"
    - "comp in the sky uav placement and movement optimization for multi user communications"

Connected through hyperedge HE-7 (induced by source paper "cooperative downlink interference transmission and cancellation for cellular connected uav a divide and conquer approach"):
  with members:
    - "uav communications for 5g and beyond recent advances and future trends"
    - "cognitive uav communication via joint maneuver and power control"
    - "understanding uav cellular communications from existing networks to massive mimo"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "cellular connected uav uplink association power control and interference coordination"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "interference mitigation methods for unmanned aerial vehicles served by cellular networks"
    - "uplink cooperative noma for cellular connected uav"

Connected through hyperedge HE-8 (induced by source paper "trajectory design for cellular connected uav under outage duration constraint"):
  with members:
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "exploiting noma for multi beam uav communication in cellular uplink"
    - "cellular connected uav uplink association power control and interference coordination"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "uplink cooperative noma for cellular connected uav"

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)