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 "massive mu mimo ofdm uplink with direct rf sampling and 1 bit adcs"):
  Abstract: Advances in analog-to-digital converter (ADC) technology have opened up the possibility to directly digitize wideband radio frequency (RF) signals, avoiding the need for analog down-conversion. In this work, we consider an orthogonal frequency-division multiplexing (OFDM)-based massive multi-user (MU) multiple-input multiple-output (MIMO) uplink system that relies on direct RF-sampling at the base station and digitizes the received RF signals with 1-bit ADCs. Using Bussgang's theorem, we provide an analytical expression for the error-vector magnitude (EVM) achieved by digital down-conversion and zero-forcing combining. Our results demonstrate that direct RF-sampling 1-bit ADCs enables low EVM and supports high-order constellations in the massive MU-MIMO-OFDM uplink.

Includes members:
  Member "timing and frequency synchronization for 1 bit massive mu mimo ofdm downlink":
    also connected through other hyperedges:
      (none)
  Member "massive mu mimo ofdm uplink with hardware impairments modeling and analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "performance analysis of quantized uplink massive mimo ofdm with oversampling under adjacent channel interference")
  Member "one bit massive mimo precoding via a minimum symbol error probability design":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "neural network optimized 1 bit precoding for massive mu mimo")
  Member "directional frame timing synchronization in wideband millimeter wave systems with low resolution adcs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "timing and frequency synchronization for 1 bit massive mu mimo ofdm downlink")
  Member "one bit sphere decoding for uplink massive mimo systems with one bit adcs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "spectral efficiency of one bit sigma delta massive mimo")
  Member "performance analysis for time of arrival estimation with oversampled low complexity 1 bit a d conversion":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "timing and frequency synchronization for 1 bit massive mu mimo ofdm downlink")
  Member "quantized precoding for multi antenna downlink channels with magiq":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "neural network optimized 1 bit precoding for massive mu mimo")
  Member "nonlinear precoding for phase quantized constant envelope massive mu mimo ofdm":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "timing and frequency synchronization for 1 bit massive mu mimo ofdm downlink")

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)