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: "price based resource allocation for spectrum sharing femtocell networks a stackelberg game approach"
  Abstract: This paper investigates the price-based resource allocation strategies for the uplink transmission of a spectrum-sharing femtocell network, in which a central macrocell is underlaid with distributed femtocells, all operating over the same frequency band as the macrocell. Assuming that the macrocell base station (MBS) protects itself by pricing the interference from the femtocell users, a Stackelberg game is formulated to study the joint utility maximization of the macrocell and the femtocells subject to a maximum tolerable interference power constraint at the MBS. Especially, two practical femtocell channel models: sparsely deployed scenario for rural areas and densely deployed scenario for urban areas, are investigated. For each scenario, two pricing schemes: uniform pricing and non-uniform pricing, are proposed. Then, the Stackelberg equilibriums for these proposed games are studied, and an effective distributed interference price bargaining algorithm with guaranteed convergence is proposed for the uniform-pricing case. Finally, numerical examples are presented to verify the proposed studies. It is shown that the proposed algorithms are effective in resource allocation and macrocell protection requiring minimal network overhead for spectrum-sharing-based two-tier femtocell networks.

Connected through hyperedge HE-1 (induced by source paper "joint dynamic pricing and radio resource allocation framework for iot services"):
  with members:
    - "adaptive and resilient revenue maximizing dynamic resource allocation and pricing for cloud enabled iot systems"
    - "computing resource allocation in three tier iot fog networks a joint optimization approach combining stackelberg game and matching"
    - "toward hierarchical mobile edge computing an auction based profit maximization approach"
    - "market model and optimal pricing scheme of big data and internet of things iot"
    - "mobile data transactions in device to device communication networks pricing and auction"
    - "multiobjective signal processing optimization the way to balance conflicting metrics in 5g systems"

Connected through hyperedge HE-2 (induced by source paper "dynamic pricing for revenue maximization in mobile social data market with network effects"):
  with members:
    - "mobile data trading behavioral economics analysis and algorithm design"
    - "a socially aware incentive mechanism for mobile crowdsensing service market"
    - "competition and cooperation analysis for data sponsored market a network effects model"
    - "exploiting social tie structure for cooperative wireless networking a social group utility maximization framework"
    - "price discrimination for energy trading in smart grid a game theoretic approach"
    - "time and location aware mobile data pricing"
    - "a survey of smart data pricing past proposals current plans and future trends"
    - "optimal pricing in networks with externalities"

Connected through hyperedge HE-3 (induced by source paper "the economics of video websites with membership advertising mode in wireless networks"):
  with members:
    - "pricing and resource allocation via game theory for a small cell video caching system"
    - "auction based coopetition between lte unlicensed and wi fi"
    - "joint caching and pricing strategies for popular content in information centric networks"
    - "motivating smartphone collaboration in data acquisition and distributed computing"
    - "what will 5g be"
    - "five disruptive technology directions for 5g"
    - "price differentiation for communication networks"

Connected through hyperedge HE-4 (induced by source paper "incentive mechanisms for motivating mobile data offloading in heterogeneous networks a salary plus bonus approach"):
  with members:
    - "full duplex wireless powered communication network with energy causality"
    - "mobile data offloading through a third party wifi access point an operator s perspective"
    - "user association for load balancing in heterogeneous cellular networks"

Connected through hyperedge HE-5 (induced by source paper "game theoretic spectrum trading in rf relay assisted free space optical communications"):
  with members:
    - "optimal relay selection for the parallel hybrid rf fso relay channel non buffer aided and buffer aided designs"
    - "on the capacity of free space optical intensity channels"

Connected through hyperedge HE-6 (induced by source paper "power control via stackelberg game for small cell networks"):
  with members:
    - "energy efficient noncooperative power control in small cell networks"
    - "energy efficient joint resource allocation and power control for d2d communications"

Connected through hyperedge HE-7 (induced by source paper "outage analysis of offloading in heterogeneous networks composite fading channels"):
  with members:
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "analysis and optimization of inter tier interference coordination in downlink multi antenna hetnets with offloading"
    - "joint resource partitioning and offloading in heterogeneous cellular networks"
    - "offloading in heterogeneous networks modeling analysis and design insights"
    - "modeling heterogeneous network interference using poisson point processes"
    - "spectrum leasing as an incentive towards uplink macrocell and femtocell cooperation"
    - "non cooperative game for capacity offload"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-8 (induced by source paper "performance optimization of co existing underlay secondary networks"):
  with members:
    - "cognitive radio an information theoretic perspective"

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)