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: "on mimo channel capacity with output quantization constraints"
  Abstract: The capacity of a Multiple-Input Multiple-Output (MIMO) channel in which the antenna outputs are processed by an analog linear combining network and quantized by a set of threshold quantizers is studied. The linear combining weights and quantization thresholds are selected from a set of possible configurations as a function of the channel matrix. The possible configurations of the combining network model specific analog receiver architectures, such as single antenna selection, sign quantization of the antenna outputs or linear processing of the outputs. An interesting connection between the capacity of this channel and a constrained sphere packing problem in which unit spheres are packed in a hyperplane arrangement is shown. From a high-level perspective, this follows from the fact that each threshold quantizer can be viewed as a hyperplane partitioning the transmitter signal space. Accordingly, the output of the set of quantizers corresponds to the possible regions induced by the hyperplane arrangement corresponding to the channel realization and receiver configuration. This connection provides a number of important insights into the design of quantization architectures for MIMO receivers; for instance, it shows that for a given number of quantizers, choosing configurations which induce a larger number of partitions can lead to higher rates.

Connected through hyperedge HE-1 (induced by source paper "capacity bounds for communication systems with quantization and spectral constraints"):
  with members:
    - "tradeoff between delay and high snr capacity in quantized mimo systems"
    - "optimal errors and phase transitions in high dimensional generalized linear models"
    - "on low resolution adcs in practical 5g millimeter wave massive mimo systems"
    - "throughput analysis of massive mimo uplink with low resolution adcs"
    - "a general framework for low resolution receivers for mimo channels"
    - "additivity of information in multilayer networks via additive gaussian noise transforms"
    - "generalized expectation consistent signal recovery for nonlinear measurements"
    - "uplink performance of wideband massive mimo with one bit adcs"

Connected through hyperedge HE-2 (induced by source paper "on throughput of millimeter wave mimo systems with low resolution adcs"):
  with members:
    - "capacity bounds for communication systems with quantization and spectral constraints"
    - "tradeoff between delay and high snr capacity in quantized mimo systems"
    - "on multiterminal communication over mimo channels with one bit adcs at the receivers"
    - "channel estimation in broadband millimeter wave mimo systems with few bit adcs"
    - "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-3 (induced by source paper "on the capacity of massive mimo with 1 bit adcs and dacs at the receiver and at the transmitter"):
  with members:
    - "a general framework for low resolution receivers for mimo channels"
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "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"
    - "massive mimo with 1 bit adc"
    - "robust 1 bit compressive sensing via binary stable embeddings of sparse vectors"
    - "analysis of 1 bit output noncoherent fading channels in the low snr regime"

Connected through hyperedge HE-4 (induced by source paper "on multiterminal communication over mimo channels with one bit adcs at the receivers"):
  with members:
    - "tradeoff between delay and high snr capacity in quantized mimo systems"
    - "gaussian multiple access channels with one bit quantizer at the receiver"
    - "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "quantized massive mu mimo ofdm uplink"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "at low snr asymmetric quantizers are better"

Connected through hyperedge HE-5 (induced by source paper "tradeoff between delay and high snr capacity in quantized mimo systems"):
  with members:
    - "on multiterminal communication over mimo channels with one bit adcs at the receivers"
    - "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "at low snr asymmetric quantizers are better"

Connected through hyperedge HE-6 (induced by source paper "comparison limited vector quantization"):
  with members:
    - "hardware limited task based quantization"

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)