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 "full duplex emulation via spatial separation of half duplex nodes in a planar cellular network"):
  Abstract: A Full Duplex Base Station (FD-BS) can be used to serve simultaneously two Half-Duplex (HD) Mobile Stations (MSs), one working in the uplink and one in the downlink, respectively. The same functionality can be realized by having two interconnected and spatially separated Half Duplex Base Stations (HD-BSs), which is a scheme termed CoMPflex (CoMP for In-Band Wireless Full Duplex). A FD-BS can be seen as a special case of CoMPflex with separation distance zero. In this paper we study the performance of CoMPflex in a two-dimensional cellular scenario using stochastic geometry and compare it to the one achieved by FD-BSs. By deriving the Cumulative Distribution Functions, we show that CoMPflex brings BSs closer to the MSs they are serving, while increasing the distance between a MS and interfering MSs. Furthermore, the results show that CoMPflex brings benefits over FD-BS in terms of communication reliability. Following the trend of wireless network densification, CoMPflex can be regarded as a method with a great potential to effectively use the dense HD deployments.

Includes members:
  Member "harvesting full duplex rate gains in cellular networks with half duplex user terminals":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "can uplink transmissions survive in full duplex cellular environments")
  Member "throughput analysis for full duplex wireless networks with imperfect self interference cancellation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "performance trade off between uplink and downlink in full duplex communications")
  Member "compflex comp for in band wireless full duplex":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "performance of network assisted full duplex for cell free massive mimo")
  Member "outage analysis of full duplex architectures in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "directional antennas for interference management in full duplex cellular networks")
  Member "five disruptive technology directions for 5g":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep learning enabled optimization of downlink beamforming under per antenna power constraints algorithms and experimental demonstration")
  Member "in band full duplex wireless challenges and opportunities":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "resource allocation for irs assisted full duplex cognitive radio systems")
  Member "analytical modeling of uplink cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "dynamic tdd interference analysis in macro cell and small cell deployments")
  Member "virtual full duplex wireless communication via rapid on off division duplex":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "compressed neighbour discovery using sparse kerdock matrices")

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)