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 sensing and power allocation in nonconvex cognitive radio games nash equilibria and distributed algorithms"
  Abstract: In this paper, we propose a novel class of Nash problems for Cognitive Radio (CR) networks, modeled as Gaussian frequency-selective interference channels, wherein each secondary user (SU) competes against the others to maximize his own opportunistic throughput by choosing jointly the sensing duration, the detection thresholds, and the vector power allocation. The proposed general formulation allows to accommodate several (transmit) power and (deterministic/probabilistic) interference constraints, such as constraints on the maximum individual and/or aggregate (probabilistic) interference tolerable at the primary receivers. To keep the optimization as decentralized as possible, global (coupling) interference constraints are imposed by penalizing each SU with a set of time-varying prices based upon his contribution to the total interference; the prices are thus additional variable to optimize. The resulting players' optimization problems are nonconvex; moreover, there are possibly price clearing conditions associated with the global constraints to be satisfied by the solution. All this makes the analysis of the proposed games a challenging task; none of classical results in the game theory literature can be successfully applied. The main contribution of this paper is to develop a novel optimization-based theory for studying the proposed nonconvex games; we provide a comprehensive analysis of the existence and uniqueness of a standard Nash equilibrium, devise alternative best-response based algorithms, and establish their convergence.

Connected through hyperedge HE-1 (induced by source paper "friendly jamming in a mimo wiretap interference network a nonconvex game approach"):
  with members:
    - "joint power control in wiretap interference channels"
    - "physical layer security for massive mimo an overview on passive eavesdropping and active attacks"
    - "real and complex monotone communication games"
    - "on secrecy rate of the generalized artificial noise assisted secure beamforming for wiretap channels"
    - "secure transmission with multiple antennas ii the mimome wiretap channel"
    - "on the secure degrees of freedom in the k user gaussian interference channel"

Connected through hyperedge HE-2 (induced by source paper "distributed channel assignment in cognitive radio networks stable matching and walrasian equilibrium"):
  with members:
    - "a context aware matching game for user association in wireless small cell networks"
    - "distributed medium access control for energy efficient transmission in cognitive radios"
    - "fully distributed optimal channel assignment for open spectrum access"
    - "exchange economy in two user multiple input single output interference channels"

Connected through hyperedge HE-3 (induced by source paper "a new distributed dc programming method and its applications"):
  with members:
    - "signal processing and optimal resource allocation for the interference channel"
    - "decomposition by partial linearization parallel optimization of multi agent systems"
    - "joint sensing and power allocation in nonconvex cognitive radio games quasi nash equilibria"
    - "distributed optimal beamformers for cognitive radios robust to channel uncertainties"
    - "on cooperative relaying schemes for wireless physical layer security"
    - "dynamic resource allocation in cognitive radio networks"
    - "cooperative jamming for wireless physical layer security"

Connected through hyperedge HE-4 (induced by source paper "joint sensing and power allocation in nonconvex cognitive radio games quasi nash equilibria"):
  with members:
    - "game theory and the frequency selective interference channel"
    - "optimal multiband joint detection for spectrum sensing in cognitive radio networks"
    - "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria"

Connected through hyperedge HE-5 (induced by source paper "sensing and recognition when primary user has multiple power levels"):
  with members:
    - "channel exploration and exploitation with imperfect spectrum sensing in cognitive radio networks"
    - "eigenvalue based spectrum sensing algorithms for cognitive radio"

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)