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: "massive mimo with low resolution adcs"
  Abstract: We investigate the information-theoretic throughput that is achievable over a fading communication link when the receiver is equipped with low-resolution analog-to-digital converters (ADCs). We focus on the case where neither the transmitter, nor the receiver have any a priori channel state information. This means that the fading realizations have to be learned through pilot transmission followed by channel estimation at the receiver, based on coarsely quantized observations. For the extreme case of one-bit ADCs and for the single-user single-input single-output case, we show that least squares (LS) estimation combined with joint pilot-data processing is optimal in terms of the achievable rate. We also investigate the uplink throughput achievable by a massive multiple-input multiple-output system in which the base station is equipped with low-resolution ADCs. We show that for the one-bit quantized case, LS estimation together with maximal ratio combing or zero-forcing detection is sufficient to support reliable multi-user transmission with high-order constellations. Numerical results show that the rates achievable in the infinite-precision (no quantization) case can be approached using ADCs with only a few bits of resolution. The robustness of the low-resolution ADC system against receive power imbalances between the different users, caused for example by imperfect power control, is also investigated.

Connected through hyperedge HE-1 (induced by source paper "achievable uplink rates for massive mimo with coarse quantization"):
  with members:
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "how much training is needed in one bit massive mimo systems at low snr"
    - "mixed adc massive mimo"
    - "on the spectral efficiency of massive mimo systems with low resolution adcs"
    - "channel estimation and uplink achievable rates in one bit massive mimo systems"
    - "analysis of massive mimo with hardware impairments and different channel models"
    - "uplink achievable rate for massive mimo systems with low resolution adc"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"

Connected through hyperedge HE-2 (induced by source paper "uplink performance of wideband massive mimo with one bit adcs"):
  with members:
    - "throughput analysis of massive mimo uplink with low resolution adcs"
    - "mixed adc massive mimo"
    - "mixed adc massive mimo uplink in frequency selective channels"
    - "on the spectral efficiency of massive mimo systems with low resolution adcs"
    - "waveforms for the massive mimo downlink amplifier efficiency distortion and performance"
    - "uplink achievable rate for massive mimo systems with low resolution adc"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "near maximum likelihood detector and channel estimator for uplink multiuser massive mimo systems with one bit adcs"

Connected through hyperedge HE-3 (induced by source paper "uplink multiuser massive mimo systems with low resolution adcs a coding theoretic approach"):
  with members:
    - "throughput analysis of massive mimo uplink with low resolution adcs"
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "bayes optimal joint channel and data estimation for massive mimo with low precision adcs"
    - "mixed adc massive mimo"
    - "supervised learning aided communication framework for massive mimo systems with low resolution adcs"
    - "one bit massive mimo channel estimation and high order modulations"
    - "near maximum likelihood detector and channel estimator for uplink multiuser massive mimo systems with one bit adcs"

Connected through hyperedge HE-4 (induced by source paper "hybrid architectures with few bit adc receivers achievable rates and energy rate tradeoffs"):
  with members:
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "on the spectral efficiency of massive mimo systems with low resolution adcs"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "subspace estimation and decomposition for large millimeter wave mimo systems"
    - "millimeter wave receiver efficiency a comprehensive comparison of beamforming schemes with low resolution adcs"
    - "performance of the wideband massive uplink mimo with one bit adcs"
    - "achievable rate and energy efficiency of hybrid and digital beamforming receivers with low resolution adc"
    - "channel estimation in broadband millimeter wave mimo systems with few bit adcs"

Connected through hyperedge HE-5 (induced by source paper "channel estimation in broadband millimeter wave mimo systems with few bit adcs"):
  with members:
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "bayes optimal joint channel and data estimation for massive mimo with low precision adcs"
    - "learning and free energies for vector approximate message passing"
    - "vector approximate message passing for the generalized linear model"
    - "performance of the wideband massive uplink mimo with one bit adcs"
    - "mixed adc massive mimo detectors performance analysis and design optimization"
    - "one bit massive mimo channel estimation and high order modulations"

Connected through hyperedge HE-6 (induced by source paper "mixed adc massive mimo uplink in frequency selective channels"):
  with members:
    - "throughput analysis of massive mimo uplink with low resolution adcs"
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "bayes optimal joint channel and data estimation for massive mimo with low precision adcs"
    - "mixed adc massive mimo"
    - "mixed adc massive mimo detectors performance analysis and design optimization"
    - "one bit massive mimo channel estimation and high order modulations"
    - "asymptotic analysis of su mimo channels with transmitter noise and mismatched joint decoding"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"

Connected through hyperedge HE-7 (induced by source paper "performance of the wideband massive uplink mimo with one bit adcs"):
  with members:
    - "mixed adc massive mimo"
    - "mixed adc massive mimo uplink in frequency selective channels"
    - "on the spectral efficiency of massive mimo systems with low resolution adcs"
    - "waveforms for the massive mimo downlink amplifier efficiency distortion and performance"
    - "uplink achievable rate for massive mimo systems with low resolution adc"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "near maximum likelihood detector and channel estimator for uplink multiuser massive mimo systems with one bit adcs"
    - "quantized massive mu mimo ofdm uplink"

Connected through hyperedge HE-8 (induced by source paper "mimo systems with low resolution adcs linear coding approach"):
  with members:
    - "mixed adc massive mimo"
    - "coded compressive sensing a compute and recover approach"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "near maximum likelihood detector and channel estimator for uplink multiuser massive mimo systems with one bit adcs"
    - "massive mimo with 1 bit adc"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "integer forcing linear receivers"
    - "multiple parameter estimation with quantized channel output"

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)