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 "impact of received signal on self interference channel estimation and achievable rates in in band full duplex transceivers"):
  Abstract: In this paper we analyze the effect of the calibration period, or lack of, on self-interference channel estimation in the digital domain of in-band full-duplex radio transceivers. In particular, we consider a scenario where the channel estimation must be performed without a separate calibration period, which means that the received signal of interest will act as an additional noise source from the estimation perspective. We will explicitly analyze its effect, and quantify the increase in the parameter estimation variance, or sample size, if similar accuracy for the channel estimate is to be achieved as with a separate calibration period. In addition, we will analyze how the calibration period, or its absence, affects the overall achievable rates. Full waveform simulations are then used to determine the validity of the obtained results, as well as provide numerical results regarding the achievable rates. It is shown that, even though a substantial increase in the parameter sample size is required if there is no calibration period, the achievable rates are still comparable for the two scenarios.

Includes members:
  Member "reference receiver based digital self interference cancellation in mimo full duplex transceivers":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "full duplex transmission optimization for bi directional mimo links with qos guarantees")
  Member "cancellation of power amplifier induced nonlinear self interference in full duplex transceivers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "compact full duplex mimo radios in d2d underlaid cellular networks from system design to prototype results")
  Member "analysis of oscillator phase noise effects on self interference cancellation in full duplex ofdm radio transceivers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "accumulate then transmit multi user scheduling in full duplex wireless powered iot systems")
  Member "widely linear digital self interference cancellation in direct conversion full duplex transceiver":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "full duplex hybrid a d beamforming with reduced complexity multi tap analog cancellation")
  Member "design and characterization of a full duplex multiantenna system for wifi networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "best relay selection in gaussian half duplex diamond networks")
  Member "full duplex transceiver system calculations analysis of adc and linearity challenges":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "state space adaptive nonlinear self interference cancellation for full duplex communication")
  Member "rate gain region and design tradeoffs for full duplex wireless communications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on low latency towards 5g ran core network and caching solutions")
  Member "experiment driven characterization of full duplex wireless systems":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "simultaneous downlink data transmission and uplink channel estimation with reduced complexity full duplex mimo radios")

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)