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 "underlay spectrum sharing techniques with in band full duplex systems using improper gaussian signaling"):
  Abstract: Sharing the spectrum with in-band full-duplex (FD) primary users (PU) is a challenging and interesting problem in the underlay cognitive radio (CR) systems. The self-interference introduced at the primary network may dramatically impede the secondary user (SU) opportunity to access the spectrum. To tackle this problem, we use the so-called improper Gaussian signaling. Particularly, we assume a system with a SU pair working in a half-duplex mode that uses improper Gaussian signaling while the FD PU pair implements the regular proper Gaussian signaling. First, we derive a closed form expression and an upper bound for the SU and PU outage probabilities, respectively. Second, we optimize the SU signal parameters to minimize its outage probability while maintaining the required PU quality-of-service based on the average channel state information (CSI). Moreover, we provide the conditions to reap merits from employing improper Gaussian signaling at the SU. Third, we design the SU signal parameters based on perfect knowledge of its direct link instantaneous CSI and investigate all benefits that can be achieved at both the SU and PU. Finally, we provide some numerical results that demonstrate the advantages of using improper Gaussian signaling to access the spectrum of the FD PU.

Includes members:
  Member "improper gaussian signaling in full duplex relay channels with residual self interference":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "full duplex relaying with improper gaussian signaling over nakagami m fading channels")
  Member "throughput analysis and optimization of wireless powered multiple antenna full duplex relay systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed multi user wireless charging power allocation")
  Member "sharing the licensed spectrum of full duplex systems using improper gaussian signaling":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "improper gaussian signaling in full duplex relay channels with residual self interference")
  Member "spectrum sharing opportunities of full duplex systems using improper gaussian signaling":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "full duplex relaying with improper gaussian signaling over nakagami m fading channels")
  Member "benefits of improper signaling for underlay cognitive radio":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "multiple importance sampling for efficient symbol error rate estimation")
  Member "optimized transmission with improper gaussian signaling in the k user miso interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "two user simo interference channel with tin improper signaling versus time sharing")
  Member "transmit optimization with improper gaussian signaling for interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "two user simo interference channel with tin improper signaling versus time sharing")
  Member "in band full duplex wireless challenges and opportunities":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "resource allocation for irs assisted full duplex cognitive radio systems")

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)