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: "cooperative relay broadcast channels"
  Abstract: The capacity regions are investigated for two relay broadcast channels (RBCs), where relay links are incorporated into standard two-user broadcast channels to support user cooperation. In the first channel, the Partially Cooperative Relay Broadcast Channel, only one user in the system can act as a relay and transmit to the other user through a relay link. An achievable rate region is derived based on the relay using the decode-and-forward scheme. An outer bound on the capacity region is derived and is shown to be tighter than the cut-set bound. For the special case where the Partially Cooperative RBC is degraded, the achievable rate region is shown to be tight and provides the capacity region. Gaussian Partially Cooperative RBCs and Partially Cooperative RBCs with feedback are further studied. In the second channel model being studied in the paper, the Fully Cooperative Relay Broadcast Channel, both users can act as relay nodes and transmit to each other through relay links. This is a more general model than the Partially Cooperative RBC. All the results for Partially Cooperative RBCs are correspondingly generalized to the Fully Cooperative RBCs. It is further shown that the AWGN Fully Cooperative RBC has a larger achievable rate region than the AWGN Partially Cooperative RBC. The results illustrate that relaying and user cooperation are powerful techniques in improving the capacity of broadcast channels.

Connected through hyperedge HE-1 (induced by source paper "cooperative rate splitting for miso broadcast channel with user relaying and performance benefits over cooperative noma"):
  with members:
    - "rate splitting unifying sdma oma noma and multicasting in miso broadcast channel a simple two user rate analysis"
    - "energy efficiency of rate splitting multiple access and performance benefits over sdma and noma"
    - "non orthogonal multiple access for cooperative communications challenges opportunities and trends"
    - "rate splitting multiple access for downlink communication systems bridging generalizing and outperforming sdma and noma"
    - "rate splitting for multi antenna non orthogonal unicast and multicast transmission spectral and energy efficiency analysis"
    - "rate splitting for max min fair multigroup multicast beamforming in overloaded systems"
    - "multiuser millimeter wave beamforming strategies with quantized and statistical csit"
    - "sum rate maximization for linearly precoded downlink multiuser miso systems with partial csit a rate splitting approach"

Connected through hyperedge HE-2 (induced by source paper "cooperative rate splitting for miso broadcast channel with user relaying"):
  with members:
    - "rate splitting unifying sdma oma noma and multicasting in miso broadcast channel a simple two user rate analysis"
    - "non orthogonal multiple access for cooperative communications challenges opportunities and trends"
    - "rate splitting for multi antenna non orthogonal unicast and multicast transmission spectral and energy efficiency analysis"
    - "rate splitting for max min fair multigroup multicast beamforming in overloaded systems"
    - "multiuser millimeter wave beamforming strategies with quantized and statistical csit"
    - "sum rate maximization for linearly precoded downlink multiuser miso systems with partial csit a rate splitting approach"
    - "robust transmission in downlink multiuser miso systems a rate splitting approach"
    - "rate splitting for mimo wireless networks a promising phy layer strategy for lte evolution"

Connected through hyperedge HE-3 (induced by source paper "capacity limits of full duplex cellular network"):
  with members:
    - "resource allocation and rate gains in practical full duplex systems"
    - "fundamental limits of spectrum sharing full duplex multicell networks"
    - "opportunistic scheduling for full duplex uplink downlink networks"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "in band full duplex wireless challenges and opportunities"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "bilayer low density parity check codes for decode and forward in relay channels"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-4 (induced by source paper "the capacity on degraded relay broadcast channel"):
  with members:
    - "achievable rate regions for cooperative relay broadcast channels with rate limited feedback"
    - "rate regions for relay broadcast channels"
    - "broadcast channels with cooperating decoders"

Connected through hyperedge HE-5 (induced by source paper "degrees of freedom of the mimo three way channel with node intermittency"):
  with members:
    - "on the degrees of freedom of the mimo three way channel with intermittent connectivity"
    - "adaptation is useless for two discrete additive noise two way channels"
    - "degrees of freedom of the bursty mimo x channel without feedback"
    - "three way channels with multiple unicast sessions capacity approximation via network transformation"
    - "resource allocation for energy efficient 3 way relay channels"
    - "gaussian interference channel with intermittent feedback"
    - "a survey on device to device communication in cellular networks"
    - "beyond one way communication degrees of freedom of multi way relay mimo interference networks"

Connected through hyperedge HE-6 (induced by source paper "an information theoretic analysis of the gaussian multicast channel with interactive user cooperation"):
  with members:
    - "enhancing multiuser mimo through opportunistic d2d cooperation"
    - "on the achievable rates of multihop virtual full duplex relay channels"
    - "noisy network coding with partial df"
    - "a survey on device to device communication in cellular networks"
    - "massive mimo multicasting in noncooperative cellular networks"
    - "spectrum sharing for device to device communication in cellular networks"
    - "modeling analysis and optimization of multicast device to device transmissions"
    - "short message noisy network coding with rate splitting"

Connected through hyperedge HE-7 (induced by source paper "channels with cooperation links that may be absent"):
  with members:
    - "cooperative binning for semideterministic channels"
    - "broadcast channels with cooperating decoders"

Connected through hyperedge HE-8 (induced by source paper "the broadcast channel with degraded message sets and unreliable conference"):
  with members:
    - "broadcast channels with cooperating decoders"

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)