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: "on the nash equilibria in decentralized parallel interference channels"
  Abstract: In this paper, the 2-dimensional decentralized parallel interference channel (IC) with 2 transmitter-receiver pairs is modelled as a non-cooperative static game. Each transmitter is assumed to be a fully rational entity with complete information on the game, aiming to maximize its own individual spectral efficiency by tuning its own power allocation (PA) vector. Two scenarios are analysed. First, we consider that transmitters can split their transmit power between both dimensions (PA game). Second, we consider that each transmitter is limited to use only one dimension (channel selection CS game). In the first scenario, the game might have either one or three NE in pure strategies (PS). However, two or infinitely many NE in PS might also be observed with zero probability. In the second scenario, there always exists either one or two NE in PS. We show that in both games there always exists a non-zero probability of observing more than one NE. More interestingly, using Monte-Carlo simulations, we show that the highest and lowest network spectral efficiency at any of the NE in the CS game are always higher than the ones in the PA.

Connected through hyperedge HE-1 (induced by source paper "game theoretic dynamic channel allocation for frequency selective interference channels"):
  with members:
    - "approximate best response dynamics in random interference games"
    - "asymptotically optimal distributed channel allocation a competitive game theoretic approach"
    - "fully distributed optimal channel assignment for open spectrum access"
    - "learning equilibria with partial information in decentralized wireless networks"
    - "shannon meets nash on the interference channel"
    - "game theory and the frequency selective interference channel"
    - "the mimo iterative waterfilling algorithm"
    - "competitive design of multiuser mimo systems based on game theory a unified view"

Connected through hyperedge HE-2 (induced by source paper "distributed algorithms for complete and partial information games on interference channels"):
  with members:
    - "distributed power allocation with rate constraints in gaussian parallel interference channels"
    - "optimal linear precoding strategies for wideband non cooperative systems based on game theory part ii algorithms"

Connected through hyperedge HE-3 (induced by source paper "game theory for signal processing in networks"):
  with members:
    - "understanding game theory via wireless power control"
    - "crawford sobel meet lloyd max on the grid"
    - "coalitional games in miso interference channels epsilon core and coalition structure stable set"
    - "multiobjective signal processing optimization the way to balance conflicting metrics in 5g systems"
    - "distributed cooperative sensing in cognitive radio networks an overlapping coalition formation approach"
    - "distributed adaptive networks a graphical evolutionary game theoretic view"
    - "jamming games in the mimo wiretap channel with an active eavesdropper"
    - "distributed learning policies for power allocation in multiple access channels"

Connected through hyperedge HE-4 (induced by source paper "algorithms for stochastic games on interference channels"):
  with members:
    - "learning equilibrium play for stochastic parallel gaussian interference channels"
    - "the mimo iterative waterfilling algorithm"
    - "distributed power allocation with rate constraints in gaussian parallel interference channels"
    - "optimal linear precoding strategies for wideband non cooperative systems based on game theory part ii algorithms"

Connected through hyperedge HE-5 (induced by source paper "perfect output feedback in the two user decentralized interference channel"):
  with members:
    - "noisy channel output feedback capacity of the linear deterministic interference channel"
    - "quality of service provisioning in decentralized networks a satisfaction equilibrium approach"
    - "wireless network information flow a deterministic approach"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "shannon meets nash on the interference channel"
    - "on the capacity of the discrete memoryless broadcast channel with feedback"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"

Connected through hyperedge HE-6 (induced by source paper "energy efficient power control for contention based synchronization in ofdma systems with discrete powers and limited feedback"):
  with members:
    - "learning equilibria with partial information in decentralized wireless networks"
    - "methodologies for analyzing equilibria in wireless games"

Connected through hyperedge HE-7 (induced by source paper "distributed power allocation with sinr constraints using trial and error learning"):
  with members:
    - "quality of service provisioning in decentralized networks a satisfaction equilibrium approach"
    - "learning equilibria with partial information in decentralized wireless networks"
    - "on the benefits of bandwidth limiting in decentralized vector multiple access channels"
    - "distributed power allocation with rate constraints in gaussian parallel interference channels"
    - "optimal linear precoding strategies for wideband non cooperative systems based on game theory part ii algorithms"

Connected through hyperedge HE-8 (induced by source paper "equilibria of channel selection games in parallel multiple access channel"):
  with members:
    - "distributed learning policies for power allocation in multiple access channels"
    - "shannon meets nash on the interference channel"
    - "on the base station selection and base station sharing in self configuring networks"
    - "power allocation games for mimo multiple access channels with coordination"
    - "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria"

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.GT(Computer Science and Game Theory)