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 "understanding the impact of phase noise on active cancellation in wireless full duplex"):
  Abstract: Practical designs of wireless full-duplex are made feasible by reducing self-interference via active and passive methods. However, extending the range to long-range communication remains a challenge, primarily due to residual self-interference even after a combination of active cancellation and passive suppression methods is employed. In this paper, we study the factor that limits the amount of active cancellation in current designs of full-duplex. Through an experiment, we show that phase noise in the local oscillator limits the amount of active cancellation of the self-interference signal. Analysing the design proposed by [1, 2] in detail, we show that modifying the quality of the local oscillator can significantly increase the amount of active cancellation in full-duplex systems.

Includes members:
  Member "design and characterization of a full duplex multiantenna system for wifi networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "best relay selection in gaussian half duplex diamond networks")
  Member "experiment driven characterization of full duplex wireless systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "simultaneous downlink data transmission and uplink channel estimation with reduced complexity full duplex mimo radios")
  Member "pushing the limits of full duplex design and real time implementation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "hybrid scheduling in heterogeneous half and full duplex wireless 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)