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: "joint downlink cell association and bandwidth allocation for wireless backhauling in two tier hetnets with large scale antenna arrays"
  Abstract: The problem of joint downlink cell association (CA) and wireless backhaul bandwidth allocation (WBBA) in two-tier cellular heterogeneous networks (HetNets) is investigated. Large-scale antenna array is implemented at the macro base station (BS), while the small cells within the macro cell range are single-antenna BSs and they rely on over-the-air links to the macro BS for backhauling. A sum logarithmic user rate maximization problem is studied under the wireless backhaul constraints. Duplex and spectrum sharing with co-channel reverse time-division duplex (TDD) and dynamic soft frequency reuse is considered for interference management in the two-tier HetNet employing large-scale antenna arrays at the macro BS and wireless backhauling for small cells. Two in-band WBBA scenarios, namely, unified bandwidth allocation and per-small-cell bandwidth allocation, are investigated for joint CA-WBBA in the HetNet. A two-level hierarchical decomposition method for relaxed optimization is employed to solve the mixed-integer nonlinear program (MINLP). Solutions based on the General Algorithm Modeling System (GAMS) optimization solver and fast heuristics are also proposed for cell association in the per-small-cell WBBA scenario. It is shown that when all small cells have to use in-band wireless backhaul, the system load has more impact on both the sum logarithmic rate and per-user rate performance than the number of small cells deployed within the macro cell range. The proposed joint CA-WBBA algorithms have an optimal load approximately equal to the size of the large-scale antenna array at the macro BS. The cell range expansion (CRE) strategy, which is an efficient cell association scheme for HetNets with ideal backhauling, is shown to be inefficient when in-band wireless backhauling for small cells comes into play.

Connected through hyperedge HE-1 (induced by source paper "backhaul aware optimization of uav base station location and bandwidth allocation for profit maximization"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "uav base station location optimization for next generation wireless networks overview and future research directions"
    - "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "spatial configuration of agile wireless networks with drone bss and user in the loop"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "user association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"

Connected through hyperedge HE-2 (induced by source paper "integrated access and backhaul optimization for millimeter wave heterogeneous networks"):
  with members:
    - "scheduling and power allocation in self backhauled full duplex small cells"
    - "optimal joint routing and scheduling in millimeter wave cellular networks"
    - "joint backhaul access analysis of full duplex self backhauling heterogeneous networks"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "small cell in band wireless backhaul in massive mimo systems a cooperation of next generation techniques"
    - "5g wireless backhaul networks challenges and research advances"
    - "enhanced intercell interference coordination challenges in heterogeneous networks"

Connected through hyperedge HE-3 (induced by source paper "event triggered online proactive network association to mobile edge computing for iot"):
  with members:
    - "a scalable framework for wireless distributed computing"
    - "user association for load balancing in heterogeneous cellular networks"

Connected through hyperedge HE-4 (induced by source paper "backhaul aware placement of a uav bs with bandwidth allocation for user centric operation and profit maximization"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "user association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "designing and implementing future aerial communication networks"

Connected through hyperedge HE-5 (induced by source paper "on the energy efficient deployment for ultra dense heterogeneous networks with nlos and los transmissions"):
  with members:
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "effect of densification on cellular network performance with bounded pathloss model"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "user association in 5g networks a survey and an outlook"
    - "coverage analysis of heterogeneous cellular networks in urban areas"
    - "stochastic geometric analysis of energy efficient dense cellular networks"
    - "physical layer security in heterogeneous cellular networks"
    - "performance impact of idle mode capability on dense small cell networks"

Connected through hyperedge HE-6 (induced by source paper "backhaul aware user association and resource allocation for energy constrained hetnets"):
  with members:
    - "energy harvesting wireless communications a review of recent advances"
    - "5g wireless backhaul networks challenges and research advances"
    - "a traffic load balancing framework for software defined radio access networks powered by hybrid energy sources"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "distributed pricing based user association for downlink heterogeneous cellular networks"
    - "unified and distributed qos driven cell association algorithms in heterogeneous networks"
    - "distributed resource allocation for relay aided device to device communication a message passing approach"
    - "what will 5g be"

Connected through hyperedge HE-7 (induced by source paper "user association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "introduction to ultra reliable and low latency communications in 5g"
    - "association of networked flying platforms with small cells for network centric 5g c ran"
    - "a distributed approach for networked flying platform association with small cells in 5g networks"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "fso based vertical backhaul fronthaul framework for 5g wireless networks"
    - "the new frontier in ran heterogeneity multi tier drone cells"

Connected through hyperedge HE-8 (induced by source paper "downlink energy efficiency of power allocation and wireless backhaul bandwidth allocation in heterogeneous small cell networks"):
  with members:
    - "cooperative interference mitigation and handover management for heterogeneous cloud small cell networks"

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.NI(Networking and Internet Architecture)