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: "gaussian half duplex relay networks improved constant gap and connections with the assignment problem"
  Abstract: This paper considers a general Gaussian relay network where a source transmits a message to a destination with the help of N half-duplex relays. It proves that the information theoretic cut-set upper bound to the capacity can be achieved to within 2:021(N +2) bits with noisy network coding, thereby reducing the previously known gap. Further improved gap results are presented for more structured networks like diamond networks. It is then shown that the generalized Degrees-of-Freedom of a general Gaussian half-duplex relay network is the solution of a linear program, where the coefficients of the linear inequality constraints are proved to be the solution of several linear programs, known in graph theory as the assignment problem, for which efficient numerical algorithms exist. The optimal schedule, that is, the optimal value of the 2^N possible transmit-receive configurations/states for the relays, is investigated and known results for diamond networks are extended to general relay networks. It is shown, for the case of 2 relays, that only 3 out of the 4 possible states have strictly positive probability. Extensive experimental results show that, for a general N-relay network with N<9, the optimal schedule has at most N +1 states with strictly positive probability. As an extension of a conjecture presented for diamond networks, it is conjectured that this result holds for any HD relay network and any number of relays. Finally, a 2-relay network is studied to determine the channel conditions under which selecting the best relay is not optimal, and to highlight the nature of the rate gain due to multiple relays.

Connected through hyperedge HE-1 (induced by source paper "best relay selection in gaussian half duplex diamond networks"):
  with members:
    - "efficiently finding simple schedules in gaussian half duplex relay line networks"
    - "on the optimality of simple schedules for networks with multiple half duplex relays"
    - "softnull many antenna full duplex wireless via digital beamforming"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "wireless network simplification beyond diamond networks"
    - "design and characterization of a full duplex multiantenna system for wifi networks"
    - "wireless network information flow a deterministic approach"

Connected through hyperedge HE-2 (induced by source paper "polynomial time capacity calculation and scheduling for half duplex 1 2 1 networks"):
  with members:
    - "gaussian 1 2 1 networks capacity results for mmwave communications"
    - "efficiently finding simple schedules in gaussian half duplex relay line networks"
    - "efficient capacity computation and power optimization for relay networks"

Connected through hyperedge HE-3 (induced by source paper "gaussian 1 2 1 networks capacity results for mmwave communications"):
  with members:
    - "millimeter wave cellular networks a mac layer perspective"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-4 (induced by source paper "generalized degrees freedom of noncoherent mimo with asymmetric links"):
  with members:
    - "enhancing multiuser mimo through opportunistic d2d cooperation"
    - "degrees of freedom of generic block fading mimo channels without a priori channel state information"
    - "capacity pre log of noncoherent simo channels via hironaka s theorem"
    - "on the capacity of large mimo block fading channels"
    - "on noncoherent fading relay channels at high signal to noise ratio"
    - "generalized degrees of freedom of the symmetric gaussian k user interference channel"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-5 (induced by source paper "efficiently finding simple schedules in gaussian half duplex relay line networks"):
  with members:
    - "the approximate optimality of simple schedules for half duplex multi relay networks"
    - "on capacity and optimal scheduling for the half duplex multiple relay channel"
    - "wireless network information flow a deterministic approach"

Connected through hyperedge HE-6 (induced by source paper "on the optimality of simple schedules for networks with multiple half duplex relays"):
  with members:
    - "cut set bound is loose for gaussian relay networks"
    - "on the gaussian half duplex relay channel"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "capacity of gaussian channels with duty cycle and power constraints"
    - "on capacity and optimal scheduling for the half duplex multiple relay channel"
    - "efficient capacity computation and power optimization for relay networks"
    - "wireless network information flow a deterministic approach"
    - "learning with submodular functions a convex optimization perspective"

Connected through hyperedge HE-7 (induced by source paper "network simplification in half duplex building on submodularity"):
  with members:
    - "on the impact of a single edge on the network coding capacity"
    - "on network simplification for gaussian half duplex diamond networks"
    - "cut set bound is loose for gaussian relay networks"
    - "the approximate optimality of simple schedules for half duplex multi relay networks"
    - "wireless network simplification the gaussian n relay diamond network"

Connected through hyperedge HE-8 (induced by source paper "on the capacity of the half duplex mimo gaussian diamond channel"):
  with members:
    - "approximate capacity of the mimo relay channel"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "gaussian relay channel capacity to within a fixed number of bits"

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)