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 gaussian mac with imperfect feedback"
  Abstract: New achievable rate regions are derived for the two-user additive white Gaussian multiple-access channel with noisy feedback. The regions exhibit the following two properties. Irrespective of the (finite) Gaussian feedback-noise variances, the regions include rate points that lie outside the no-feedback capacity region, and when the feedback-noise variances tend to 0 the regions converge to the perfect-feedback capacity region. The new achievable regions also apply to the partial-feedback setting where one of the transmitters has a noisy feedback link and the other transmitter has no feedback at all. Again, irrespective of the (finite) noise variance on the feedback link, the regions include rate points that lie outside the no-feedback capacity region. Moreover, in the case of perfect partial feedback, i.e., where the only feedback link is noise-free, for certain channel parameters the new regions include rate points that lie outside the Cover-Leung region. This answers in the negative the question posed by van der Meulen as to whether the Cover-Leung region equals the capacity region of the Gaussian multiple-access channel with perfect partial feedback. Finally, we propose new achievable regions also for a setting where the receiver is cognizant of the realizations of the noise sequences on the feedback links.

Connected through hyperedge HE-1 (induced by source paper "sum rate capacity for symmetric gaussian multiple access channels with feedback"):
  with members:
    - "strengthening the entropy power inequality"
    - "posterior matching scheme for gaussian multiple access channel with feedback"
    - "dependence balance based outer bounds for gaussian networks with cooperation and feedback"
    - "variations on a theme by schalkwijk and kailath"
    - "outer bounds for multiple access channels with feedback using dependence balance"
    - "optimal feedback communication via posterior matching"

Connected through hyperedge HE-2 (induced by source paper "on continuous time gaussian channels"):
  with members:
    - "upper and lower bounds on the capacity of amplitude constrained mimo channels"
    - "recent results in continuous time network information theory"
    - "wireless network information flow a deterministic approach"
    - "limit theorems in hidden markov models"
    - "directed information causal estimation and communication in continuous time"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "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-3 (induced by source paper "capacity regions of families of continuous time multi user gaussian channels"):
  with members:
    - "extensions of the i mmse relation"
    - "recent results in continuous time network information theory"
    - "wireless network information flow a deterministic approach"
    - "capacity bounds for the gaussian interference channel"
    - "gaussian interference channel capacity to within one bit"
    - "on the capacity of multiple access channels with state information and feedback"
    - "coding for the feedback gel fand pinsker channel and the feedforward wyner ziv source"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-4 (induced by source paper "feedback can double the prelog of some memoryless gaussian networks"):
  with members:
    - "lqg control approach to gaussian broadcast channels with feedback"
    - "interference channels with rate limited feedback"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "on the capacity of the discrete memoryless broadcast channel with feedback"
    - "the pre log of gaussian broadcast with feedback can be two"
    - "on cognitive interference networks"
    - "the multiplexing gain of mimo x channels with partial transmit side information"

Connected through hyperedge HE-5 (induced by source paper "zero rate feedback can achieve the empirical capacity"):
  with members:
    - "feedback communication over individual channels"
    - "rateless codes for avc models"
    - "balancing forward and feedback error correction for erasure channels with unreliable feedback"
    - "feedback capacity of stationary gaussian channels"
    - "a counterexample to cover s 2p conjecture on gaussian feedback capacity"

Connected through hyperedge HE-6 (induced by source paper "sending a bivariate gaussian source over a gaussian mac with feedback"):
  with members:
    - "sending a bi variate gaussian source over a gaussian mac"
    - "sending a bi variate gaussian source over a gaussian mac"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-7 (induced by source paper "sending a bi variate gaussian source over a gaussian mac"):
  with members:
    - "superimposed coded and uncoded transmissions of a gaussian source over the gaussian channel"
    - "a single letter upper bound for the sum rate of multiple access channels with correlated sources"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-8 (induced by source paper "sending a bi variate gaussian source over a gaussian mac"):
  with members:
    - "superimposed coded and uncoded transmissions of a gaussian source over the gaussian channel"
    - "a single letter upper bound for the sum rate of multiple access channels with correlated sources"
    - "rate region of the quadratic gaussian two encoder source coding problem"

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)