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: "traffic management for heterogeneous networks with opportunistic unlicensed spectrum sharing"
  Abstract: This paper studies how to maximize the per-user-based throughput in an M-tier heterogeneous wireless network (HetNet) by optimally managing traffic flows between the access points (APs) in the HetNet. The APs in the first M-1 tiers can use the licensed spectrum at the same time whereas they share the unlicensed spectrum with the APs in the Mth tier by the proposed opportunistic carrier sense multiple access with collision avoidance (CSMA/CA) protocol. The APs that access the licensed and unlicensed spectra simultaneously are able to integrate their spectrum resources by the carrier aggregation technique. We first characterize the distribution of the cell load and the channel access probability of each AP using a generalized AP association scheme. For an AP in each tier, the tight lower bounds on its mean spectrum efficiencies in the licensed and unlicensed spectra are derived for the general random models of the channel gain and AP association weights. We define the per-user link throughput and per-user network throughput based on the derived the mean spectrum efficiencies and maximize them by proposing the decentralized and centralized traffic management schemes for the APs in the first M-1 tiers under the constraint that the per-user link throughput of the tier-M APs must be above some minimum required value. Finally, a numerical example of coexisting LTE and WiFi networks is provided to validate our derived results and findings.

Connected through hyperedge HE-1 (induced by source paper "smart contract based secure spectrum sharing in multi operators wireless communication networks"):
  with members:
    - "smart contract slas for dense small cell as a service"
    - "spatial spectrum and energy efficiency of random cellular networks"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"
    - "energy efficiency evaluation of cellular networks based on spatial distributions of traffic load and power consumption"
    - "capacity analysis of a multi cell multi antenna cooperative cellular network with co channel interference"

Connected through hyperedge HE-2 (induced by source paper "mmwave uav networks with multi cell association performance limit and optimization"):
  with members:
    - "cellular connectivity for uavs network modeling performance analysis and design guidelines"
    - "survey on uav cellular communications practical aspects standardization advancements regulation and security challenges"
    - "wireless communication using unmanned aerial vehicles uavs optimal transport theory for hover time optimization"
    - "fast deployment of uav networks for optimal wireless coverage"
    - "coverage rate tradeoff analysis in mmwave heterogeneous cellular networks"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "enabling uav cellular with millimeter wave communication potentials and approaches"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-3 (induced by source paper "fundamentals of simultaneous wireless information and power transmission in heterogeneous networks a cell load perspective"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "wireless power transfer in massive mimo aided hetnets with user association"
    - "fundamentals of the downlink green coverage and energy efficiency in heterogeneous networks"
    - "on the limits of coexisting coverage and capacity in multi rat heterogeneous networks"
    - "random cell association and void probability in poisson distributed cellular networks"
    - "optimal cell load and throughput in green small cell networks with generalized cell association"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "simultaneous information and energy transfer in large scale networks with without relaying"

Connected through hyperedge HE-4 (induced by source paper "full duplex heterogeneous networks with decoupled user association rate analysis and traffic scheduling"):
  with members:
    - "user selection and power allocation in full duplex multicell networks"
    - "downlink and uplink decoupling in two tier heterogeneous networks with multi antenna base stations"
    - "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems"
    - "fundamentals of the downlink green coverage and energy efficiency in heterogeneous networks"
    - "full duplex mimo small cell networks with interference cancellation"
    - "on the limits of coexisting coverage and capacity in multi rat heterogeneous networks"
    - "random cell association and void probability in poisson distributed cellular networks"
    - "why to decouple the uplink and downlink in cellular networks and how to do it"

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)