human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "power allocation for full duplex relay selection in underlay cognitive radio networks coherent versus non coherent scenarios"):
  Abstract: This paper investigates power control and relay selection in Full Duplex Cognitive Relay Networks (FDCRNs), where the secondary-user (SU) relays can simultaneously receive data from the SU source and forward them to the SU destination. We study both non-coherent and coherent scenarios. In the non-coherent case, the SU relay forwards the signal from the SU source without regulating the phase; while in the coherent scenario, the SU relay regulates the phase when forwarding the signal to minimize the interference at the primary-user (PU) receiver. We consider the problem of maximizing the transmission rate from the SU source to the SU destination subject to the interference constraint at the PU receiver and power constraints at both the SU source and SU relay. We then develop a mathematical model to analyze the data rate performance of the FDCRN considering the self-interference effects at the FD relay. We develop low-complexity and high-performance joint power control and relay selection algorithms. Extensive numerical results are presented to illustrate the impacts of power level parameters and the self-interference cancellation quality on the rate performance. Moreover, we demonstrate the significant gain of phase regulation at the SU relay.

Includes members:
  Member "power control and relay selection in full duplex cognitive relay networks coherent versus non coherent scenarios":
    also connected through other hyperedges:
      (none)
  Member "distributed mac protocol design for full duplex cognitive radio networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "adaptive full duplex communications in cognitive radio networks")
  Member "passive self interference suppression for full duplex infrastructure nodes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multi objective antenna selection in a full duplex base station")
  Member "widely linear digital self interference cancellation in direct conversion full duplex transceiver":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "full duplex hybrid a d beamforming with reduced complexity multi tap analog cancellation")
  Member "in band full duplex wireless challenges and opportunities":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "resource allocation for irs assisted full duplex cognitive radio systems")
  Member "experiment driven characterization of full duplex wireless systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "simultaneous downlink data transmission and uplink channel estimation with reduced complexity full duplex mimo radios")
  Member "distributed mac protocol for cognitive radio networks design analysis and optimization":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "power control and relay selection in full duplex cognitive relay networks coherent versus non coherent scenarios")
  Member "full duplex bidirectional mimo achievable rates under limited dynamic range":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "state space adaptive nonlinear self interference cancellation for full duplex communication")

Question: Please tell me which class the source paper 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)