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 "an augmented nonlinear complex lms for digital self interference cancellation in full duplex direct conversion transceivers"):
  Abstract: In future full-duplex communications, the cancellation of self-interference (SI) arising from hardware nonidealities, will play an important role in the design of mobile-scale devices. To this end, we introduce an optimal digital SI cancellation solution for shared-antenna-based direct-conversion transceivers (DCTs). To establish that the underlying widely linear signal model is not adequate for strong transmit signals, the impacts of various circuit imperfections, including power amplifier (PA) distortion, frequency-dependent I/Q imbalances, quantization noise and thermal noise, on the performance of the conventional augmented complex least mean square (ACLMS) based SI canceller, are analyzed. In order to achieve a sufficient signal-to-noise-plus-interference ratio (SNIR) when the nonlinear SI components are not negligible, we propose an augmented nonlinear CLMS (ANCLMS) based SI canceller for a joint cancellation of both the linear and nonlinear SI components by virtue of a widely-nonlinear model fit. A rigorous mean and mean square performance evaluation is conducted to justify the performance advantages of the proposed scheme over the conventional ACLMS solution. Simulations on orthogonal frequency division multiplexing (OFDM)-based wireless local area network (WLAN) standard compliant waveforms support the analysis.

Includes members:
  Member "passive self interference suppression for full duplex infrastructure nodes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi objective antenna selection in a full duplex base station")
  Member "analysis of oscillator phase noise effects on self interference cancellation in full duplex ofdm radio transceivers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "accumulate then transmit multi user scheduling in full duplex wireless powered iot systems")
  Member "full duplex mobile device pushing the limits":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "energy efficiency maximization via joint sub carrier assignment and power control for ofdma full duplex networks")
  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 "full duplex transceiver system calculations analysis of adc and linearity challenges":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "state space adaptive nonlinear self interference cancellation for full duplex communication")
  Member "simultaneous transmission and reception algorithm design and system level performance":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "backhaul aware uplink communications in full duplex dbs aided hetnets")
  Member "in band full duplex wireless challenges and opportunities":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "resource allocation for irs assisted full duplex cognitive radio systems")
  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)