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: "a new achievable rate for the gaussian parallel relay channel"
  Abstract: Schein and Gallager introduced the Gaussian parallel relay channel in 2000. They proposed the Amplify-and-Forward (AF) and the Decode-and-Forward (DF) strategies for this channel. For a long time, the best known achievable rate for this channel was based on the AF and DF with time sharing (AF-DF). Recently, a Rematch-and-Forward (RF) scheme for the scenario in which different amounts of bandwidth can be assigned to the first and second hops were proposed. #R##N#In this paper, we propose a \emph{Combined Amplify-and-Decode Forward (CADF)} scheme for the Gaussian parallel relay channel. We prove that the CADF scheme always gives a better achievable rate compared to the RF scheme, when there is a bandwidth mismatch between the first hop and the second hop. Furthermore, for the equal bandwidth case (Schein's setup), we show that the time sharing between the CADF and the DF schemes (CADF-DF) leads to a better achievable rate compared to the time sharing between the RF and the DF schemes (RF-DF) as well as the AF-DF.

Connected through hyperedge HE-1 (induced by source paper "on the capacity of the binary symmetric parallel relay network"):
  with members:
    - "the capacity region of multiway relay channels over finite fields with full data exchange"
    - "joint channel network coding strategies for networks with low complexity relays"
    - "rate regions for relay broadcast channels"

Connected through hyperedge HE-2 (induced by source paper "using superposition codebooks and partial decode and forward in low snr parallel relay networks"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "the approximate capacity of the gaussian n relay diamond network"
    - "approximately achieving gaussian relay network capacity with lattice codes"

Connected through hyperedge HE-3 (induced by source paper "achieving the capacity of the n relay gaussian diamond network within log n bits"):
  with members:
    - "capacity approximations for gaussian relay networks"
    - "a unified relay framework with both d f and c f relay nodes"
    - "wireless network information flow a deterministic approach"
    - "the approximate capacity of the gaussian n relay diamond network"
    - "computation alignment capacity approximation without noise accumulation"
    - "wireless network simplification the gaussian n relay diamond network"
    - "on the capacity of the half duplex diamond channel"
    - "on the optimal compressions in the compress and forward relay schemes"

Connected through hyperedge HE-4 (induced by source paper "the approximate capacity of the gaussian n relay diamond network"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "on the capacity of the half duplex diamond channel"
    - "the balanced unicast and multicast capacity regions of large wireless networks"
    - "approximately achieving gaussian relay network capacity with lattice codes"
    - "on capacity scaling in arbitrary wireless networks"
    - "interference alignment in dense wireless networks"
    - "capacity of a class of diamond channels"
    - "on the capacity of the diamond half duplex relay channel"

Connected through hyperedge HE-5 (induced by source paper "on the capacity of the half duplex diamond channel"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "capacity of a class of diamond channels"
    - "cooperative strategies for the half duplex gaussian parallel relay channel simultaneous relaying versus successive relaying"
    - "dmt of multi hop cooperative networks part i basic results"
    - "dmt of multi hop cooperative networks part ii half duplex networks with full duplex performance"
    - "on the diversity multiplexing tradeoff in multiple relay network"
    - "a deterministic approach to wireless relay networks"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-6 (induced by source paper "an optimal coding strategy for the binary multi way relay channel"):
  with members:
    - "physical layer network coding"

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)