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 "on the capacity of the wiener phase noise channel bounds and capacity achieving distributions"):
  Abstract: In this paper, the capacity of the additive white Gaussian noise (AWGN) channel, affected by time-varying Wiener phase noise is investigated. Tight upper and lower bounds on the capacity of this channel are developed. The upper bound is obtained by using the duality approach, and by considering a specific distribution over the output of the channel. In order to lower-bound the capacity, first a family of capacity-achieving input distributions is found by solving a functional optimization of the channel mutual information. Then, lower bounds on the capacity are obtained by drawing samples from the proposed distributions through Monte Carlo simulations. The proposed capacity-achieving input distributions are circularly symmetric, non-Gaussian, and the input amplitudes are correlated over time. The evaluated capacity bounds are tight for a wide range of signal-to-noise-ratio (SNR) values, and thus they can be used to quantify the capacity. Specifically, the bounds follow the well-known AWGN capacity curve at low SNR, while at high SNR, they coincide with the high-SNR capacity result available in the literature for the phase-noise channel.

Includes members:
  Member "capacity of simo and miso phase noise channels with common separate oscillators":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "massive mu mimo ofdm uplink with hardware impairments modeling and analysis")
  Member "on the impact of oscillator phase noise on the uplink performance in a massive mimo ofdm system":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal reference signal design for phase noise compensation in multi carrier massive mimo systems")
  Member "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the pilot contamination attack in multi cell multiuser massive mimo networks")
  Member "calculation of the performance of communication systems from measured oscillator phase noise":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "ml detection in phase noise impaired simo channels with uplink training")
  Member "improving bandwidth efficiency in e band communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hybrid localization a low cost low complexity approach based on wi fi and odometry")
  Member "oscillator phase noise and small scale channel fading in higher frequency bands":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "capacity of simo and miso phase noise channels with common separate oscillators")
  Member "analysis of oscillator phase noise effects on self interference cancellation in full duplex ofdm radio transceivers":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "accumulate then transmit multi user scheduling in full duplex wireless powered iot systems")
  Member "on continuous time white phase noise channels":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "models and information rates for wiener phase noise channels")

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)