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: "quality of service provisioning in decentralized networks a satisfaction equilibrium approach"
  Abstract: This paper introduces a particular game formulation and its corresponding notion of equilibrium, namely the satisfaction form (SF) and the satisfaction equilibrium (SE). A game in SF models the case where players are uniquely interested in the satisfaction of some individual performance constraints, instead of individual performance optimization. Under this formulation, the notion of equilibrium corresponds to the situation where all players can simultaneously satisfy their individual constraints. The notion of SE, models the problem of QoS provisioning in decentralized self-configuring networks. Here, radio devices are satisfied if they are able to provide the requested QoS. Within this framework, the concept of SE is formalized for both pure and mixed strategies considering finite sets of players and actions. In both cases, sufficient conditions for the existence and uniqueness of the SE are presented. When multiple SE exist, we introduce the idea of effort or cost of satisfaction and we propose a refinement of the SE, namely the efficient SE (ESE). At the ESE, all players adopt the action which requires the lowest effort for satisfaction. A learning method that allows radio devices to achieve a SE in pure strategies in finite time and requiring only one-bit feedback is also presented. Finally, a power control game in the interference channel is used to highlight the advantages of modeling QoS problems following the notion of SE rather than other equilibrium concepts, e.g., generalized Nash equilibrium.

Connected through hyperedge HE-1 (induced by source paper "joint path selection and rate allocation framework for 5g self backhauled mm wave networks"):
  with members:
    - "path selection and rate allocation in self backhauled mmwave networks"
    - "ultra reliable communication in 5g mmwave networks a risk sensitive approach"
    - "energy efficient interactive beam alignment for millimeter wave networks"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "toward low latency and ultra reliable virtual reality"
    - "millimeter wave v2v communications distributed association and beam alignment"
    - "capacity scaling of cellular networks impact of bandwidth infrastructure density and number of antennas"
    - "joint load balancing and interference mitigation in 5g heterogeneous networks"

Connected through hyperedge HE-2 (induced by source paper "path selection and rate allocation in self backhauled mmwave networks"):
  with members:
    - "joint load balancing and interference mitigation in 5g heterogeneous networks"
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"
    - "tracking mm wave channel dynamics fast beam training strategies under mobility"
    - "joint in band backhauling and interference mitigation in 5g heterogeneous networks"
    - "on the joint impact of beamwidth and orientation error on throughput in directional wireless poisson networks"
    - "what will 5g be"
    - "millimeter wave beamforming for wireless backhaul and access in small cell networks"
    - "backhaul aware interference management in the uplink of wireless small cell networks"

Connected through hyperedge HE-3 (induced by source paper "robust fuzzy learning for partially overlapping channels allocation in uav communication networks"):
  with members:
    - "survey of important issues in uav communication networks"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "distributed resource allocation for relay aided device to device communication under channel uncertainties a stable matching approach"
    - "what will 5g be"

Connected through hyperedge HE-4 (induced by source paper "a new theoretical evaluation framework for satisfaction equilibria in wireless networks"):
  with members:
    - "quality of service games for spectrum sharing"

Connected through hyperedge HE-5 (induced by source paper "a satisfactory power control for 5g self organizing networks"):
  with members:
    - "ultra dense small cell networks turning density into energy efficiency"
    - "uav assisted heterogeneous networks for capacity enhancement"
    - "transmit power minimization in small cell networks under time average qos constraints"
    - "what will 5g be"

Connected through hyperedge HE-6 (induced by source paper "data injection attacks on smart grids with multiple adversaries a game theoretic perspective"):
  with members:
    - "bad data injection attack and defense in electricity market using game theory study"

Connected through hyperedge HE-7 (induced by source paper "dynamic spectrum access in time varying environment distributed learning beyond expectation optimization"):
  with members:
    - "a game theoretic perspective on self organizing optimization for cognitive small cells"
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"
    - "evolutionarily stable spectrum access"
    - "multi agent q learning of channel selection in multi user cognitive radio systems a two by two case"
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"
    - "adaptive channel allocation spectrum etiquette for cognitive radio networks"

Connected through hyperedge HE-8 (induced by source paper "dynamic spectrum access with statistical qos provisioning a distributed learning approach beyond expectation optimization"):
  with members:
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"
    - "evolutionarily stable spectrum access"
    - "multi agent q learning of channel selection in multi user cognitive radio systems a two by two case"
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"
    - "adaptive channel allocation spectrum etiquette for cognitive radio 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.IT(Information Theory)