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: "study of gaussian relay channels with correlated noises"
  Abstract: In this paper, we consider the full-duplex and half-duplex Gaussian relay channels where the noises at the relay and destination are arbitrarily correlated. We first derive the capacity upper bound and the achievable rates with three existing schemes: Decode-and-Forward (DF), Compress-and-Forward (CF), and Amplify-and-Forward (AF). We present two capacity results under specific noise correlation coefficients, one being achieved by DF and the other being achieved by direct link transmission (or a special case of CF). The channel for the former capacity result is equivalent to the traditional Gaussian degraded relay channel and the latter corresponds to the Gaussian reversely-degraded relay channel. For CF and AF schemes, we show that their achievable rates are strictly decreasing functions of the correlation coefficient when the correlation coefficient is negative. Moreover, when the noise correlation coefficient is positive, the CF achievable rate may also outperform the independent-noise case if the noise correlation coefficient is within a certain range. Through numerical comparisons under different channel settings, we observe that although DF completely disregards the noise correlation while the other two can potentially exploit such extra information, none of the three relay schemes always outperforms the others over different correlation coefficients. Moreover, the exploitation of noise correlation by CF and AF accrues more benefit when the source-relay link is weak. This paper also considers the optimal power allocation problem under the correlated-noise channel setting. With individual power constraints at the relay and the source, it is shown that the relay should use all its available power to maximize the achievable rates under any correlation coefficient. With a total power constraint across the source and the relay, the achievable rates are proved to be concave functions over the power allocation factor for AF and CF under full-duplex mode, where the closed-form power allocation strategy is derived.

Connected through hyperedge HE-1 (induced by source paper "interference mitigation via relaying"):
  with members:
    - "capacity of the gaussian relay channel with correlated noises to within a constant gap"
    - "capacity of a class of deterministic relay channels"

Connected through hyperedge HE-2 (induced by source paper "analysis of a cooperative strategy for a large decentralized wireless network"):
  with members:
    - "series expansion for interference in wireless networks"
    - "high sir transmission capacity of wireless networks with general fading and node distribution"
    - "cooperative strategies for interference limited wireless networks"
    - "outage probability of general ad hoc networks in the high reliability regime"
    - "an overview of the transmission capacity of wireless networks"
    - "interference and outage in clustered wireless ad hoc networks"
    - "fractional power control for decentralized wireless networks"
    - "transmission capacity of ad hoc networks with spatial diversity"

Connected through hyperedge HE-3 (induced by source paper "on the outage probability of the full duplex interference limited relay channel"):
  with members:
    - "analysis of a cooperative strategy for a large decentralized wireless network"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "coverage by pairwise base station cooperation under adaptive geometric policies"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "high sir transmission capacity of wireless networks with general fading and node distribution"
    - "a tractable approach to coverage and rate in cellular networks"
    - "outage probability of general ad hoc networks in the high reliability regime"
    - "an overview of the transmission capacity of wireless networks"

Connected through hyperedge HE-4 (induced by source paper "on the gaussian half duplex relay channel"):
  with members:
    - "energy minimization for the half duplex relay channel with decode forward relaying"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "wireless network information flow a deterministic approach"
    - "on the capacity of the half duplex diamond channel"
    - "diversity multiplexing tradeoff of the half duplex relay channel"
    - "capacity of a class of modulo sum relay channels"

Connected through hyperedge HE-5 (induced by source paper "gaussian half duplex relay networks improved constant gap and connections with the assignment problem"):
  with members:
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "on capacity and optimal scheduling for the half duplex multiple relay channel"
    - "wireless network information flow a deterministic approach"
    - "the approximate capacity of the gaussian n relay diamond network"
    - "interference channels with source cooperation"
    - "interference channels with destination cooperation"
    - "interference mitigation through limited transmitter cooperation"
    - "approximately optimal wireless broadcasting"

Connected through hyperedge HE-6 (induced by source paper "the overall balance between cooperation and interference for a class of wireless networks"):
  with members:
    - "cooperative strategies for interference limited wireless networks"
    - "an overview of the transmission capacity of wireless networks"
    - "interference and outage in clustered wireless ad hoc networks"
    - "fractional power control for decentralized wireless networks"
    - "transmission capacity of ad hoc networks with spatial diversity"

Connected through hyperedge HE-7 (induced by source paper "optimum power allocations for fading decode and forward relay channel"):
  with members:
    - "the capacity region of classes of product broadcast channels"

Connected through hyperedge HE-8 (induced by source paper "partial decode forward binning schemes for the causal cognitive relay channels"):
  with members:
    - "inner and outer bounds for the gaussian cognitive interference channel and new capacity results"
    - "dependence balance based outer bounds for gaussian networks with cooperation and feedback"
    - "interference channels with source cooperation"
    - "interference mitigation through limited transmitter cooperation"
    - "on achievable rate regions for half duplex causal cognitive radio channels"
    - "capacity bounds of half duplex gaussian cooperative interference channel"
    - "interference channels with one cognitive transmitter"
    - "an achievable rate region for interference channels with conferencing"

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)