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 "flexible design for alpha duplex communications in multi tier cellular networks"):
  Abstract: Backward compatibility is an essential ingredient for the success of new technologies. In the context of in-band full-duplex (FD) communication, FD base stations (BSs) should support half-duplex (HD) users' equipment (UEs) without sacrificing the foreseen FD gains. This paper presents flexible and tractable modeling framework for multi-tier cellular networks with FD BSs and FD/HD UEs. The presented model is based on stochastic geometry and accounts for the intrinsic vulnerability of uplink transmissions. The results show that FD UEs are not necessarily required to harvest rate gains from FD BSs. In particular, the results show that adding FD UEs to FD BSs offers a maximum of $5\%$ rate gain over FD BSs and HD UEs case if multi-user diversity is exploited, which is a marginal gain compared to the burden required to implement FD transceivers at the UEs' side. To this end, we shed light on practical scenarios where HD UEs operation with FD BSs outperforms the operation when both the BSs and UEs are FD and we find a closed form expression for the critical value of the self-interference attenuation power required for the FD UEs to outperform HD UEs.

Includes members:
  Member "can uplink transmissions survive in full duplex cellular environments":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "in band alpha duplex scheme for cellular networks a stochastic geometry approach")
  Member "modeling cellular networks in fading environments with dominant specular components":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks")
  Member "impact of directionality on interference mitigation in full duplex cellular network":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "in band alpha duplex scheme for cellular networks a stochastic geometry approach")
  Member "throughput and coverage for a mixed full and half duplex small cell network":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "backhaul aware uplink communications in full duplex dbs aided hetnets")
  Member "harvesting full duplex rate gains in cellular networks with half duplex user terminals":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "can uplink transmissions survive in full duplex cellular environments")
  Member "in band full duplex communications for cellular networks with partial uplink downlink overlap":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "area spectral efficiency and coverage for mixed duplexing networks with directional transmissions")
  Member "limits on the capacity of in band full duplex communication in uplink cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "modeling cellular networks with full duplex d2d communication a stochastic geometry approach")
  Member "full duplex radio for uplink downlink transmission with spatial randomness":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "directional antennas for interference management in full duplex cellular networks")

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)