human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "soft metrics and their performance analysis for optimal data detection in the presence of strong oscillator phase noise"
  Abstract: In this paper, we address the classical problem of maximum-likelihood (ML) detection of data in the presence of random phase noise. We consider a system, where the random phase noise affecting the received signal is first compensated by a tracker/estimator. Then the phase error and its statistics are used for deriving the ML detector. Specifically, we derive an ML detector based on a Gaussian assumption for the phase error probability density function (PDF). Further without making any assumptions on the phase error PDF, we show that the actual ML detector can be reformulated as a weighted sum of central moments of the phase error PDF. We present a simple approximation of this new ML rule assuming that the phase error distribution is unknown. The ML detectors derived are also the aposteriori probabilities of the transmitted symbols, and are referred to as soft metrics. Then, using the detector developed based on Gaussian phase error assumption, we derive the symbol error probability (SEP) performance and error floor analytically for arbitrary constellations. Finally we compare SEP performance of the various detectors/metrics in this work and those from literature for different signal constellations, phase noise scenarios and SNR values.

Connected through hyperedge HE-1 (induced by source paper "analysis and design of secure massive mimo systems in the presence of hardware impairments"):
  with members:
    - "secure massive mimo systems with limited rf chains"
    - "physical layer security for massive mimo systems impaired by phase noise"
    - "linear precoding of data and artificial noise in secure massive mimo systems"
    - "energy efficient power control a look at 5g wireless technologies"
    - "hardware impairments aware transceiver for full duplex massive mimo relaying"
    - "per antenna constant envelope precoding for secure transmission in large scale miso systems"
    - "secure massive mimo transmission with an active eavesdropper"
    - "large scale mimo relaying techniques for physical layer security af or df"

Connected through hyperedge HE-2 (induced by source paper "ml detection in phase noise impaired simo channels with uplink training"):
  with members:
    - "optimal detection in training assisted simo systems with phase noise impairments"
    - "capacity of simo and miso phase noise channels with common separate oscillators"
    - "uplink performance of time reversal mrc in massive mimo systems subject to phase noise"
    - "distributed massive mimo in cellular networks impact of imperfect hardware and number of oscillators"
    - "massive mimo with non ideal arbitrary arrays hardware scaling laws and circuit aware design"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"
    - "calculation of the performance of communication systems from measured oscillator phase noise"
    - "massive mimo for next generation wireless systems"

Connected through hyperedge HE-3 (induced by source paper "on the capacity of the wiener phase noise channel bounds and capacity achieving distributions"):
  with members:
    - "capacity of simo and miso phase noise channels with common separate oscillators"
    - "on the impact of oscillator phase noise on the uplink performance in a massive mimo ofdm system"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"
    - "calculation of the performance of communication systems from measured oscillator phase noise"
    - "improving bandwidth efficiency in e band communication systems"
    - "oscillator phase noise and small scale channel fading in higher frequency bands"
    - "analysis of oscillator phase noise effects on self interference cancellation in full duplex ofdm radio transceivers"
    - "on continuous time white phase noise channels"

Connected through hyperedge HE-4 (induced by source paper "receiver algorithm based on differential signaling for simo phase noise channels with common and separate oscillator configurations"):
  with members:
    - "capacity of simo and miso phase noise channels with common separate oscillators"
    - "on the impact of oscillator phase noise on the uplink performance in a massive mimo ofdm system"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"
    - "calculation of the performance of communication systems from measured oscillator phase noise"
    - "improving bandwidth efficiency in e band communication systems"
    - "oscillator phase noise and small scale channel fading in higher frequency bands"
    - "massive mimo for next generation wireless systems"
    - "algorithms for joint phase estimation and decoding for mimo systems in the presence of phase noise"

Connected through hyperedge HE-5 (induced by source paper "linear massive mimo precoders in the presence of phase noise a large scale analysis"):
  with members:
    - "power scaling of uplink massive mimo systems with arbitrary rank channel means"
    - "on the impact of oscillator phase noise on the uplink performance in a massive mimo ofdm system"
    - "linear precoding based on polynomial expansion reducing complexity in massive mimo"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "effects of channel aging in massive mimo systems"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"
    - "mimo interference alignment over correlated channels with imperfect csi"
    - "energy and spectral efficiency of very large multiuser mimo systems"

Connected through hyperedge HE-6 (induced by source paper "calculation of the performance of communication systems from measured oscillator phase noise"):
  with members:
    - "multi sample receivers increase information rates for wiener phase noise channels"
    - "effect of synchronizing coordinated base stations on phase noise estimation"
    - "estimation of phase noise in oscillators with colored noise sources"
    - "on wiener phase noise channels at high signal to noise ratio"

Connected through hyperedge HE-7 (induced by source paper "oscillator phase noise and small scale channel fading in higher frequency bands"):
  with members:
    - "calculation of the performance of communication systems from measured oscillator phase noise"
    - "improving bandwidth efficiency in e band communication systems"
    - "estimation of phase noise in oscillators with colored noise sources"

Connected through hyperedge HE-8 (induced by source paper "algorithms for joint phase estimation and decoding for mimo systems in the presence of phase noise"):
  with members:
    - "estimation of phase noise in oscillators with colored noise sources"
    - "expectation propagation for approximate bayesian inference"
    - "information theoretic analysis of mimo channel sounding"

Question: Please tell me which class the center node 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)